jist-202605192320260519232507CMV Verlagkhoffmann@cmv-verlag.comCMV VerlagJournal of Information Systems and Telecommunication (JIST) jist2322-14378320221039MohammadsedighimaneshHessam ZandhessamiMahmood AlborziMohammadsadegh Khayyatian83202218019010.52547/jist.15639.10.39.180http://jist.ir/en/Article/15639http://jist.ir/en/Article/Download/15639http://jist.ir/en/Article/Download/15639http://jist.ir/en/Article/Download/15639http://jist.ir/en/Article/Download/15639http://jist.ir/en/Article/Download/15639http://jist.ir/en/Article/Download/15639http://jist.ir/en/Article/Download/15639[1] S. Rani, R. Talwar, J. Malhotra, S. H. Ahmed, M. Sarkar, and H. Song, “A novel scheme for an energy efficient internet of things based on wireless sensor networks,” Sensors (Switzerland), 2015, doi: 10.3390/s151128603. [2] F. K. Shaikh and S. Zeadally, “Energy harvesting in wireless sensor networks: A comprehensive review,” Renewable and Sustainable Energy Reviews. 2016, doi: 10.1016/j.rser.2015.11.010. [3] F. Gregorio, G. González, C. Schmidt, and J. Cousseau, “Internet of Things,” in Signals and Communication Technology, 2020. [4] P. P. Ray, “A survey on Internet of Things architectures,” Journal of King Saud University - Computer and Information Sciences. 2018, doi: 10.1016/j.jksuci.2016.10.003. [5] P. Sethi and S. R. Sarangi, “Internet of Things: Architectures, Protocols, and Applications,” Journal of Electrical and Computer Engineering. 2017, doi: 10.1155/2017/9324035. [6] J. Y. Chang, “A Distributed Cluster Computing Energy-Efficient Routing Scheme for Internet of Things Systems,” Wirel. Pers. Commun., vol. 82, no. 2, pp. 757–776, 2015, doi: 10.1007/s11277-014-2251-8. [7] T. M. Behera, S. K. Mohapatra, U. C. Samal, M. S. Khan, M. Daneshmand, and A. H. Gandomi, “Residual energy-based cluster-head selection in WSNs for IoT application,” IEEE Internet Things J., 2019, doi: 10.1109/JIOT.2019.2897119. [8] A. Shukla and S. Tripathi, “An Effective Relay Node Selection Technique for Energy Efficient WSN-Assisted IoT,” Wirel. Pers. Commun., vol. 112, no. 4, pp. 2611–2641, 2020, doi: 10.1007/s11277-020-07167-8. [9] M. Sedighimanesh, H. Zandhesami, and A. Sedighimanesh, “Presenting the Hybrid Algorithm of Honeybee - Harmony in Clustering and Routing of Wireless Sensor Networks,” Int. J. Sensors, Wirel. Commun. Control, 2018, doi: 10.2174/2210327908666181029094346. [10] M. Sedighimanesh* and H. Z. H. and A. Sedighimanesh, “Routing Algorithm based on Clustering for Increasing the Lifetime of Sensor Networks by Using Meta-Heuristic Bee Algorithms,” International Journal of Sensors, Wireless Communications and Control, vol. 10, no. 1. pp. 25–36, 2020, doi: http://dx.doi.org/10.2174/2210327909666190129154802. [11] A. Kochhar, P. Kaur, P. Singh, and S. Sharma, “Protocols for wireless sensor networks: A survey,” Journal of Telecommunications and Information Technology. 2018, doi: 10.26636/jtit.2018.117417. [12] Z. Cui, Y. Cao, X. Cai, J. Cai, and J. Chen, “Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things,” J. Parallel Distrib. Comput., 2019, doi: 10.1016/j.jpdc.2017.12.014. [13] N. N. Srinidhi, S. M. Dilip Kumar, and K. R. Venugopal, “Network optimizations in the Internet of Things: A review,” Engineering Science and Technology, an International Journal. 2019, doi: 10.1016/j.jestch.2018.09.003. [14] T. Salman and R. Jain, “Networking protocols and standards for internet of things,” in Internet of Things and Data Analytics Handbook, 2017. [15] S. Srivastava, M. Singh, and S. Gupta, “Wireless Sensor Network: A Survey,” in 2018 International Conference on Automation and Computational Engineering, ICACE 2018, 2019, doi: 10.1109/ICACE.2018.8687059. [16] B. Bhushan and G. Sahoo, “Routing protocols in wireless sensor networks,” in Studies in Computational Intelligence, 2019. [17] G. Xie and F. Pan, “Cluster-Based Routing for the Mobile Sink in Wireless Sensor Networks with Obstacles,” IEEE Access, 2016, doi: 10.1109/ACCESS.2016.2558196. [18] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,” in System sciences, 2000. Proceedings of the 33rd annual Hawaii international conference on, 2000, p. 10 pp. vol. 2. [19] M. Sedighimanesh and A. Sedighimanesh, “Reducing Energy Consumption of the SEECH Algorithm in Wireless Sensor Networks Using a Mobile Sink and Honey Bee Colony Algorithm,” Law, State Telecommun. Rev. / Rev. Direito, Estado e Telecomunicações; Vol 10 No 1, 2018. [20] R. I. Tandel, “Leach Protocol in Wireless Sensor Network: A Survey,” Int. J. Comput. Sci. Inf. Technol., 2016. [21] K. M. sedighimanesh mohammad, Zandhessami Hessam, Alborzi Mahmood, “Energy Efficient Routing-Based Clustering Protocol Using Computational Intelligence Algorithms in Sensor-Based IoT,” J. Inf. Syst. Telecommun., vol. 33, no. 9, 2021, doi: 10.52547/jist.9.33.55. [22] V. Chauhan and S. Soni, “Mobile sink-based energy efficient cluster head selection strategy for wireless sensor networks,” J. Ambient Intell. Humaniz. Comput., 2019, doi: 10.1007/s12652-019-01509-6. [23] J. Bhola, S. Soni, and G. K. Cheema, “Genetic algorithm based optimized leach protocol for energy efficient wireless sensor networks,” J. Ambient Intell. Humaniz. Comput., vol. 11, no. 3, pp. 1281–1288, 2020. [24] S. Rani, S. H. Ahmed, and R. Rastogi, “Dynamic clustering approach based on wireless sensor networks genetic algorithm for IoT applications,” Wirel. Networks, 2020, doi: 10.1007/s11276-019-02083-7. [25] F. Fanian and M. Kuchaki Rafsanjani, “Cluster-based routing protocols in wireless sensor networks: A survey based on methodology,” J. Netw. Comput. Appl., vol. 142, pp. 111–142, Sep. 2019, doi: 10.1016/J.JNCA.2019.04.021. [26] S. A. Sert, H. Bagci, and A. Yazici, “MOFCA: Multi-objective fuzzy clustering algorithm for wireless sensor networks,” Appl. Soft Comput., vol. 30, pp. 151–165, 2015. [27] K. Sundaran, V. Ganapathy, and P. Sudhakara, “Fuzzy logic based Unequal Clustering in wireless sensor network for minimizing Energy consumption,” in 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), 2017, pp. 304–309, doi: 10.1109/ICCCT2.2017.7972283. [28] A. Vatankhah and S. Babaie, “An optimized Bidding-based coverage improvement algorithm for hybrid wireless sensor networks,” Comput. Electr. Eng., vol. 65, pp. 1–17, 2018, doi: https://doi.org/10.1016/j.compeleceng.2017.12.031. [29] S. Babaie, N. Zekrizadeh, and S. Nobahary, “NHEEP: A New Hybrid Energy Efficient PartitioningApproach for Wireless Sensor Network Clustering,” Int. J. Inf. Electron. Eng., vol. 2, no. 3, p. 323, 2012. [30] A. Kousar, N. Mittal, and P. Singh, “An Improved Hierarchical Clustering Method for Mobile Wireless Sensor Network Using Type-2 Fuzzy Logic,” in Lecture Notes in Electrical Engineering, 2020, doi: 10.1007/978-3-030-30577-2_11. [31] D. Wu, “On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers,” IEEE Trans. Fuzzy Syst., vol. 20, no. 5, pp. 832–848, 2012, doi: 10.1109/TFUZZ.2012.2186818. [32] W. W. Tan and T. W. Chua, “Uncertain rule-based fuzzy logic systems: introduction and new directions (Mendel, JM; 2001)[book review],” IEEE Comput. Intell. Mag., vol. 2, no. 1, pp. 72–73, 2007. [33] H. Hagras, “Type-2 FLCs: A new generation of fuzzy controllers,” IEEE Comput. Intell. Mag., vol. 2, no. 1, pp. 30–43, 2007. [34] D. W. W. W. Tan, “A simplified type-2 fuzzy logic controller for real-time control,” ISA Trans., vol. 45, no. 4, pp. 503–516, 2006. [35] D. Wu and W. W. Tan, “Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers,” Eng. Appl. Artif. Intell., vol. 19, no. 8, pp. 829–841, 2006. [36] N. N. Karnik, J. M. Mendel, and Q. Liang, “Type-2 fuzzy logic systems,” IEEE Trans. Fuzzy Syst., 1999, doi: 10.1109/91.811231. [37] D. Wu, “An interval type-2 fuzzy logic system cannot be implemented by traditional type-1 fuzzy logic systems,” in Proc. World Conference on Soft Computing, 2011. [38] X. Wang, L. Wang, and Y. Wu, “An Optimal Algorithm for Prufer Codes.,” J. Softw. Eng. Appl., vol. 2, no. 2, pp. 111–115, 2009. [39] S. Mirjalili, “Genetic algorithm,” in Studies in Computational Intelligence, 2019.MohammadEbrahimiHosseinEbrahimpour-Komeleh83202221122110.52547/jist.16060.10.39.211http://jist.ir/en/Article/16060http://jist.ir/en/Article/Download/16060http://jist.ir/en/Article/Download/16060http://jist.ir/en/Article/Download/16060http://jist.ir/en/Article/Download/16060http://jist.ir/en/Article/Download/16060http://jist.ir/en/Article/Download/16060http://jist.ir/en/Article/Download/16060[1] H. Tang, H. Liu, W. Xiao and N. Sebe, "Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion", Neurocomputing, Vol. 331, 2019, pp. 424-433. [2] L. Kraljevi´c, M. Russo, M. Paukovi´c and M. Šari´c, “A Dynamic Gesture Recognition Interface for Smart Home Control based on Croatian Sign Language”, Appl. Sci. 2020, 10, 2300. [3] A. Wadhawan and P. Kumar, "Sign Language Recognition Systems: A Decade Systematic Literature Review", Arch Computat Methods Eng 2019, https://doi.org/10.1007/s11831-019-09384-2. [4] P. Kim, "MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence", Apress, 2017. [5] A.E. Hassanien, A. Abraham, J.F. Peters, G. Schaefer, Henry C., "Rough sets and near sets in medical imaging: a review", IEEE Transactions on Information Technology in Biomedicine, Vol. 13(6), 2009, pp. 955-968. [6] V. Sattari-Naeini, and A. Moaref, "Fuzzy-rough Information Gain Ratio Approach to Filter-wrapper Feature Selection", International Journal of Engineering, Vol. 30(9), 2017, pp. 1326-1333. [7] D. Li, C. R. Opazo, X. Yu and H. Li, "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison", Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020, pp. 1459-1469. [8] A. H. Mazinan, J. Hassanian, “A Hybrid Object Tracking for Hand Gesture Approach based on MS-MD and its Application,” Journal of Information Systems and Telecommunication (JIST), 2015, Vol. 3, No. 4. [9] S. Ildarabadi, M. Ebrahimi, H. R. Pourreza, "Improvement Tracking Dynamic Programming using Replication Function for Continuous Sign Language Recognition", International Journal of Engineering Trends and Technology (IJETT), Vol 7(3), 2014, pp. 97-101. [10] P. Chiranjeevi, S. Sengupta, “Rough-Set-Theoretic Fuzzy Cues-Based Object Tracking Under Improved Particle Filter Framework”, IEEE transactions on fuzzy systems, Vol. 24, 2016, No. 3. [11] J. B. Zhang, T. R. Li, & H. M. Chen. "Composite rough sets for dynamic data mining", Information Science, Vol. 257, 2014, pp. 81–100. [12] Y. Xu, A. Sep, Y. Ban, R. Horaud, L. Leal-Taixe and X. Alameda-Pineda, “How to train your deep multi-object tracker", Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR), pp. 6787-6796, Jun. 2020.ZohrehDorraniHassanFarsiSajadMohammadzadeh83202220121010.52547/jist.16385.10.39.201http://jist.ir/en/Article/16385http://jist.ir/en/Article/Download/16385http://jist.ir/en/Article/Download/16385http://jist.ir/en/Article/Download/16385http://jist.ir/en/Article/Download/16385http://jist.ir/en/Article/Download/16385http://jist.ir/en/Article/Download/16385http://jist.ir/en/Article/Download/16385[1] Z. Qu, SY. Wang, L. Liu, and DY. Zhou, "Visual Cross-Image Fusion Using Deep Neural Networks for Image Edge Detection", IEEE Access., Vol. 7, No. 1, 2019, pp. 57604-57615. [2] Z. Dorrani, and M. S. Mahmoodi, "Noisy images edge detection: Ant colony optimization algorithm", Journal of AI and Data Mining, Vol. 4, No. 1, 2016, pp. 77-83. [3] SM. Ismail, LA. Said, AG. Radwan, and AH Madian. "A novel image encryption system merging fractional-order edge detection and generalized chaotic maps, Signal Processing, Vol. 167, No.1, 2020, pp. 107280. [4] N. Balamuralidhar, S. Tilon, and Francesco Nex. "MultEYE: Monitoring System for Real-Time Vehicle Detection, Tracking and Speed Estimation from UAV Imagery on Edge-Computing Platforms", Remote Sensing Vol. 13, No. 4, 2021, pp. 573. [5] B. Wang, LL. Chen, ZY. Zhang, "A novel method on the edge detection of infrared image", Optik, Vol. 180, No.1, 2019, pp. 610-614. [6] S. Choudhury, S.P. Chattopadhyay, and T.K. Hazra, "Vehicle detection and counting using haar feature based classifier", In receding’s of the 8th Annual Industrial Automation and Electromechanical Engineering Conference, 2017, Vol. 8, pp. 106–109. [7] J. Sang, Z. Wu, P. Guo, H. Hu, H. Xiang, Q. Zhang, Cai, B. "An Improved YOLOv2 for Vehicle Detection", Sensors, Vol.18, No. 12, 2018, pp. 4272. [8] W.U. Qiong, and L. Sheng-bin, "Single Shot MultiBox Detector for Vehicles and Pedestrians Detection and Classification", in 2nd International Seminar on Applied Physics, Optoelectronics and Photonics Inc. Lancaster, 2017, Vol. 2, pp. 1-7. [9] S. Ren, K. He, R. Girshick, and J. Sun, "Faster R-CNN: Towards real-time object detection with region proposal networks", IEEE Trans. Pattern Anal, Vol. 39, No.6, 2017, pp. 1137–1149. [10] A. Dubey, and S. Rane, "Implementation of an intelligent traffic control system and real time traffic statistics broadcasting", In Proceedings of the International conference of Electronics, Communication and Aerospace Technology, 2017, Vol.1, pp. 33–37. [11] SM. Bhandarkar, Y. Zhang, and WD. Potter, "An edge detection technique using genetic algorithm-based optimization", Pattern Recognit, Vol. 27, No. 9, 1994, pp.1159–1180. [12] R. Chaudhary, A. Patel, S. Kumar, and S. Tomar, "Edge detection using particle swarm optimization technique", International Conference on Computing, Communication and Automation IEEE, 2017, Vol.1, pp.363–367. [13] DS. Lu, CC. Chen, "Edge detection improvement by ant colony optimization", Pattern Recognit Lett. Vol. 9, No. 4, 2008, pp. 416–425. [14] S. Xie, and Z. Tu. "Holistically-nested edge detection", In Proceedings of the IEEE international conference on computer vision, 2015, Vol. 125, pp. 3–18. [15] S. Rajaraman, and A. Chokkalinga, "Chromosomal edge detection using modified bacterial foraging algorithm", Int J Bio-Science Bio-Technology, Vol. 6, No. 1, 2014, pp. 111–122. [16] OP. Verma, M. Hanmandlu, AK. Sultania, and AS. Parihar, "A novel fuzzy system for edge detection in noisy image using bacterial foraging", Multidimens Syst Signal Process, Vol. 24, No. 1, 2013, pp.181–198. [17] ME. Yüksel, "Edge detection in noisy images by neuro-fuzzy processing", Int J Electroni Commun, Vol. 61, No. 2, 2007, pp. 82–89. [18] M. Setayesh, M. Zhang, and M. Johnston, "Edge detection using constrained discrete particle swarm optimization in noisy images", IEEE Congress of Evolutionary Computation (CEC), 2011, pp. 246–253. [19] Y. Wang, Y. Li, Y. Song, and X. Rong, "The influence of the activation function in a convolution neural network model of facial expression recognition", Applied Sciences, Vol. 10. No. 5, 2020, pp. 1897. [20] A. Sezavar, H. Farsi, and S. Mohamadzadeh. "Content-based image retrieval by combining convolutional neural networks and sparse representation", Multimedia Tools and Applications, Vol. 78, No. 15, 2019, pp. 20895-20912. [21] Z. Song, L. Fu, J. Wu, Z. Liu, R. Li, and Y. Cui, "Kiwifruit detection in field images using Faster R-CNN with VGG16", IFAC-Papers On Line, Vol. 52, No. 30, 2019, pp. 76-81. [22] S. Manali, and M. Pawar, "Transfer learning for image classification", Second International Conference on Electronics, Communication and Aerospace Technology, 2018, Vol. 2, pp. 656-660. [23] W. Long, X. Li, and L. Gao, "A transfer convolutional neural network for fault diagnosis based on ResNet-50", Neural Computing and Applications, Vol. 32, No. 1, 2019, pp. 1-14. [24] P. Ghosal, L. Nandanwar, and S. Kanchan, "Brain tumor classification using ResNet-101 based squeeze and excitation deep neural network", Second International Conference on Advanced Computational and Communication Paradigms (ICACCP). IEEE, 2019, Vol.2, pp. 1-6. [25] A. Sezavar, H. Farsi, and S. Mohamadzadeh. "A modified grasshopper optimization algorithm combined with CNN for content based image retrieval", International Journal of Engineering 32.7, 2019, 924-930. [26] R. Nasiripour, H. Farsi, S. Mohamadzadeh. "Visual saliency object detection using sparse learning", IET Image Processing, Vol. 13, No. 13, 2019, pp. 2436-2447. [27] H. Zamanian, H. Farsi, and S. Mohamadzadeh. "Improvement in Accuracy and Speed of Image Semantic Segmentation via Convolution Neural Network Encoder-Decoder", Information Systems & Telecommunication, Vol. 6, No. 3, 2018, pp. 128-135. [28] R. Guerrero-Gomez-Olmedo, and RJ Lopez-Sastre, "Vehicle tracking by simultaneous detection and viewpoint estimation. "International Work-Conference on the Interplay Between Natural and Artificial Computation", Springer, 2013, pp. 306-316. [29] Y. Wang, P.M. Jodoin, F. Porikli, J. Konrad, Y. Benezeth, and P. Ishwar, "CDnet 2014: An expanded change detection benchmark dataset", inProc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops, 2014, pp. 393–400. [30] Z. Dorrani, H. Farsi, and S. Mohamadzadeh. "Image Edge Detection with Fuzzy Ant Colony Optimization Algorithm", International Journal of Engineering, Vol. 33, No. 12, 2020, pp. 2464-2470. [31] D. Impedovo, F. Balducci, V. Dentamaro, and G. Pirlo, "Vehicular traffic congestion classification by visual features and deep learning approaches: a comparison", Sensors, Vol. 19, No. 23, 2019, pp. 5213-5225. [32] C. Wen, P. Liu, W. Ma, Z. Jian, C. Lv, and J. Hong, "Edge detection with feature re-extraction deep convolutional neural network", Journal of Visual Communication and Image Representation, Vol. 57, No. 1, 2018, pp. 84-90.SaraMotamedElhamAskari83202222222810.52547/jist.16399.10.39.222http://jist.ir/en/Article/16399http://jist.ir/en/Article/Download/16399http://jist.ir/en/Article/Download/16399http://jist.ir/en/Article/Download/16399http://jist.ir/en/Article/Download/16399http://jist.ir/en/Article/Download/16399http://jist.ir/en/Article/Download/16399http://jist.ir/en/Article/Download/16399[1] A. Shirazi, J. Alaghbandrad, “Treatment of Attention Deficit Hyperactivity Disorder (ADHD) With a Cognitive Behavioral Approach”, Journal of Advances in Cognitive Science. Vol. 2, 1379, pp. 29- 34. [2] C. H. Chen, J. D. Lee, M. C. Lin, “Classification of Underwater Signals Using Neural Networks”, Journal of Science and Engineering. Vol. 3, 2000, pp. 31-48. [3] B. P. Howell, S. Wood, S. Koksal, “Passive Sonar Recognition and Analysis Using Hybrid Neural Networks”, IEEE Proceedings Oceans. Vol. 4, 2003, pp. 1917- 1924. [4] H. H. Jasper, P. Solomon, C. Bradley, “Electroencephalographic Analyses of Behavior Problem Children”, Am. J. Psychiatry. Vol. 95, 1938, pp. 641–658. [5] A. Lenartowicz, S. K. Loo, “Use of EEG to Diagnose ADHD”, Curr. Psychiatry Rep. Vol. 16, 2014. [6] M. Fabiani, G. Gratton, K. D. Federmeier, “Event-Related Brain Potentials: Methods, Theory, and Applications, in Handbook of Psychophysiology”, 3rd Edn (New York, NY: Cambridge University Press), 2007, pp. 85–119. [7] B. Kim, J. Roh, S. Dong, S. Lee, “Hierarchical Committee of Deep Convolutional Neural Networks for Robust Facial Expression Recognition”, Journal on Multimodal User Interfaces. 2016, pp. 1–17. [8] G. F. Woodman, “A Brief Introduction to the Use of Event-Related Potentials in Studies of Perception and Attention”, Psychophysics, 2010, Vol. 72, pp. 2031–2046. [9] E. Kroupi, S. Frisch, A. Castellano, M. David, I. S. Montplaisir, J. Gagnon, “Deep Networks Using Auto-Encoders for PD prodromal analysis”, In Proceedings of the HBP Student Conference on Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science, Vienna, 2017. [10] T. H. Grandy, M. Werkle-Bergner, C. Chicherio, F. Schmiedek, M. Lövdén, U. Lindenberger. “Peak Individual Alpha Frequency Qualifies as a Stable Neurophysiological Trait Marker in Healthy Younger and Older Adults”, Psychophysiology, 2013, pp. 570–582. [11] https://school.brainhackmtl.org/project/adhdsubtype-project. [12] S. Haykin, “Neural Networks, a Comprehensive Foundation”, Prentice Hall, Vol. 4n No. 2, 1999, pp. 191-192. [13] H. Abdi, L. J. Williams, “Principal Component Analysis”, Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 2, 2010, pp. 433-459. [14] K. Boyd, K. H. Eng, “Area Under the Precision-recall Curve: Point Estimates and Confidence Intervals”, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 451–466. [15] J. Davis, M. Goadrich, “The Relationship between Precision-Recall and ROC Curves”, Proceedings of the 23rd International Conference on Machine Learning, 2006, pp. 233–240. [16] F. Li, X. Li, F. Wang, D. Zhang, Y. Li, F. He, “A Novel P300 Classification of Algorithm based on a Principal Component Analysis-Convolutional Neural Network”, Applied Science, 2019, pp. 2-15. [17] M. Robertson, S. Furlong, B. Voytek, C. Boettiger, M. Sheridan, “EEG Power Spectral Slope Differs by ADHD Status and Stimulant Medication Exposure in Early Childhood”, Journal of Neurophysiology, 2019, pp. 2427-2437. [18] M. R. Mohammadi, A. Khaleghi, A. M. Nasrabadi, “EEG Classification of ADHD and Normal Children using Non-Linear Features and Neural Network”, The Korean Society of Medical & Biological Engineering and Springer, Vol. 6, 2016, pp. 66-73.KhatreheBamaryMohammad RezaBehboudiTayebehAbbasnjad83202222924010.52547/jist.16445.10.39.229http://jist.ir/en/Article/16445http://jist.ir/en/Article/Download/16445http://jist.ir/en/Article/Download/16445http://jist.ir/en/Article/Download/16445http://jist.ir/en/Article/Download/16445http://jist.ir/en/Article/Download/16445http://jist.ir/en/Article/Download/16445http://jist.ir/en/Article/Download/16445 [1] J. L. García-Alcaraz, V. Martínez-Loya, J. R. Díaz-Reza, J. Blanco-Fernández, E. Jiménez-Macías, and A. J. G. Lopez. “Effect of ICT integration on SC flexibility, agility and company’ performance: the Mexican maquiladora experience” Wireless Networks, Vol. 26, No.7, 2020, pp. 4805-4818. [2] M. Arslandere, İ. Tuncer, and A. D. A. Serkan. “The Impact of ICT Use in Promotional Activities on Export Performance: An Empirical Investigation”, Business & Management Studies: An International Journal, Vol. 8, No.2, 2020, pp. 2384 – 2413. [3] A. Rimmimgton, G. Dickens, and C. Pasqire. “Impact of Information and Communication Technology (ICT) on construction projects”, Organization, technology & management in construction: an international journal, Vol. 7, No.3, 2015, pp. 1367-1382. [4] X. Chaojun, Y. Wei, H. Chenlin, and S. Congying. “Design and Validation of School ICT Monitoring & Evaluation Framework: A Case Study”, American Journal of Education and Information Technology. Vol. 4, No.2, 2020, pp. 78. [5] T. B. Gyamerah. “Using e-learning to improve the performance of first year nursing students in ICT”. GSJ, Vol. 8, No.6, 2020, pp.-250-257. [6] I. Apulu, and A. Latham."An Evaluation of the Impact of Information and Communication Technologies: Two Case Study Examples". International Business Research, Vol. 3, No. 4, 2011, pp. 3-9. [7] M. Okumu Ujunju, G. Wanyembi, and F. Wabwoba." Evaluating the Role of Information and Communication Technology (ICT) Support towards Processes of Management in Institutions of Higher Learning", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No.7, 2012, pp. 55-58. [8] A. M. Sayaf, M. M. Alamri, M. A. Alqahtani and W. M. Al-Rahmi. "Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability". Sustainability, Vol. 13, No. 13, 2021. [9] H. Toya, and M. Skidmore. "Information/communication technology and natural disaster vulnerability", Economics Letters, 2015, pp. 143-145. [10] A. André." The Information Technology Revolution in Health Care", In: André A. (eds) Digital Medicine. Health Informatics. Springer, Cham, 2019. [11] S. Dutta, and B. Bilbao-Osorio. “The Global Information Technology Report 2015”, World Economic Forum, Vol. 1, No.1, 2015, pp. 200-42. [12] K. Milis, and R. Mercken. “The use of the balanced scorecard for the evaluation of information and communication technology projects”, International Journal of Project Management, Vol. 22, No.2, 2004, pp. 87-97. [13] S. Haanappel, R. Drost, F. Harmsen,, S. Brinkkemper, and J. M. Versendaal. “A framework for IT performance management”, Available from www: http://www. Cs. Uu. Nl/research/ techreps /repo/CS, 2011(006). [14] J. Becker, R. Knackstedt, and J. Pöppelbuß, "Developing maturity models for IT management", Business & Information Systems Engineering, Vol.1, No.5, 2009, pp. 213-222. [15] J. McKay, P. Marshall, and L. Smith. “Steps towards effective IT governance: strategic IS planning, evaluation and benefits management”, PACIS 2003 Proceedings, 65. [16] E. H. Arribas, and P. S. Inchusta. “Evaluation models of information technology in Spanish companies: a cluster analysis”, Information & Management, Vol. 36, No.3, 1999, pp. 151-164. [17] A. Albadvi, A. Keramati, and J. Razmi. “Assessing the impact of information technology on firm performance considering the role of intervening variables: organizational infrastructures and business processes reengineering”. International Journal of Production Research, Vol. 45, No.5, 2007, pp. 2697-2734. [18] B. C. Stahl. “Information technology, responsibility, and anthropology”, In Proceedings of the 35th Annual Hawaii International Conference on System Sciences. IEEE, 2002, pp.1-10. [19] K. L. Kraemer & J. N. Danziger, "The impacts of computer technology on the worklife of information workers". Social Science Computer Review, Vol. 8, No. 4, 1990, pp. 592-613. [20] C. A. Gorse, & S. Emmitt. Investigating interpersonal communication during construction progress meetings: challenges and opportunities. Engineering, Construction and Architectural Management., Vol .10, No. 2, 2003, pp 233-245. [21] O. Zizlavsky. “The balanced scorecard: Innovative performance measurement and management control system”, Journal of technology management & innovation, Vol. 9, No.3, 2014, pp. 210-222. [22] N. Y. Wijayanti, W. Setiawan, and R. A. Sukamto. “Performance Assessment of IT Governance with Balanced Score Card and COBIT 4.1 of Universitas Pendidikan Indonesia”, Journal of Physics: Conference Series, Vol. 812, No. 1, 2017, p. 012072. IOP Publishing. [23] M. Uii, H. Gusaptono, M. Effendi and N. Charibaldi. “The Information Technology (IT) Adoption Process and E- Readiness to Use within Yogyakarta Indonesian Small Medium Enterprises (SME)”, International Journal of Information and Communication Technology Research, Vol. 2, No. 1, 2012, pp. 1-12. [24] F. Salehi1, B. Abdollahbeigi1 and S, Sajjady. “Impact of Effective IT Governance on Organizational Performance and Economic Growth in Canada”, Asian Journal of Economics, Finance and Management, Vol. 3, No. 2, 2021, pp, 14-19. [25] M. Simonsson, and P. Johnson. “Defining IT governance-a consolidation of literature”, The 18th conference on advanced information systems engineering, Vol. 6, 2006, pp, 1-19. [26] P. Weill, and J. W. Ross. “IT governance on one page”. No 349, 2004, pp, 1-18. Available at SSRN: https://ssrn.com/abstract=664612. [27] B. Tuttle, and S. D. Vandervelde. “An empirical examination of CobiT as an internal control framework for information technology”, International Journal of Accounting information systems, Vol. 8, No.4, 2007, pp. 240-236. [28] I. Arfyanti1, N. Nursobah, R. Rajiansyah.“IT Governance Of Senayan Library Management System (Slims) Library and Archives Department Of East Kalimantan Province Using COBIT 5.0”, Jurnal Ilmiah MATRIK, Vol. 23, No.2, 2021, pp. 159-166. [29] G. Ridley, J.Young, and P. Carroll. “COBIT and its Utilization: A framework from the literature”, 37th Annual Hawaii International Conference on System Sciences, Proceedings of the IEEE, 2004, pp, 1-8. [30] R. P. Dhaniawaty, and E. Susilawati. “The Evaluation of Information Technology Investment Management using the Domain of Portfolio Management (PM) Val IT Framework 2.0 in PT. XYZ. IOP Conference Series”, Materials Science and Engineering Vol. 407, No. 1, 2018, p. 012129. IOP Publishing. [31] M. Kozina, and D. Popovic. “VAL IT framework and ICT benefits”, Central European Conference on Information and Intelligent Systems. Faculty of Organization and Informatics Varazdin. 2010, pp. 221. [32] S. Sahibudin, M. Sharifi, and M. Ayat. “Combining ITIL, COBIT and ISO/IEC 27002 in order to design a comprehensive IT framework in organizations”, Second Asia International Conference on Modelling & Simulation (AMS). 2008, pp. 749-753. [33] M. B. Al Mourad and M. Hussain, "The Impact of Cloud Computing on ITIL Service Strategy Processes," International Journal of Computer and Communication Engineering vol. 3, no. 5, 2014, pp. 367-371. [34] M. Marrone, F. Gacenga, A. Cater-Steel, and L. Kolbe. “IT service management: A cross-national study of ITIL adoption”, CAIS, 34, 49. [35] M. H. Koniyo "Identification of components for evaluation e-government governance framework according to regional government characteristics" The 5th Annual Applied Science and Engineering Conference. vol. 1098, No. 5, 2021, pp. 1-8.MehdiKhazaei83202219120010.52547/jist.22504.10.39.191http://jist.ir/en/Article/22504http://jist.ir/en/Article/Download/22504http://jist.ir/en/Article/Download/22504http://jist.ir/en/Article/Download/22504http://jist.ir/en/Article/Download/22504http://jist.ir/en/Article/Download/22504http://jist.ir/en/Article/Download/22504http://jist.ir/en/Article/Download/22504[1] M. S. BenSaleh, R. Saida, Y. H. Kacem, and M. Abid, "Wireless Sensor Network Design Methodologies: A Survey," Journal of Sensors, vol. 2020, p. 9592836, 2020/01/25 2020. [2] P. Rawat, K. D. Singh, H. Chaouchi, and J. M. Bonnin, "Wireless sensor networks: a survey on recent developments and potential synergies," The Journal of Supercomputing, vol. 68, no. 1, pp. 1-48, 2014/04/01 2014. [3] X. Liu, "Atypical Hierarchical Routing Protocols for Wireless Sensor Networks: A Review," IEEE Sensors Journal, vol. 15, no. 10, pp. 5372-5383, 2015. [4] L. Chan, K. Gomez Chavez, H. Rudolph, and A. Hourani, "Hierarchical routing protocols for wireless sensor network: a compressive survey," Wireless Networks, vol. 26, no. 5, pp. 3291-3314, 2020/07/01 2020. [5] M. Ding, X. Cheng, and G. Xue, "Aggregation tree construction in sensor networks," in 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484), 2003, vol. 4, pp. 2168-2172 Vol.4. [6] K. Hyun-sook and H. Ki-jun, "A power efficient routing protocol based on balanced tree in wireless sensor networks," In First International Conference on Distributed Frameworks for Multimedia Applications, 2005, pp. 138-143. [7] H. Ö. Tan and I. Körpeoǧlu, "Power efficient data gathering and aggregation in wireless sensor networks," SIGMOD Rec., vol. 32, no. 4, pp. 66–71, 2003. [8] W. Qiu, E. Skafidas, and P. Hao, "Enhanced tree routing for wireless sensor networks," Ad Hoc Networks, vol. 7, no. 3, pp. 638-650, 2009/05/01/ 2009. [9] T. Nguyen Duy and V. Nguyen Dinh, "SSTBC: Sleep scheduled and tree-based clustering routing protocol for energy-efficient in wireless sensor networks," in The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), 2015, pp. 180-185. [10] Y. Lu and L. D. Xu, "Internet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2103-2115, 2019. [11] M. Kocakulak and I. Butun, "An overview of Wireless Sensor Networks towards internet of things," In 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017, pp. 1-6. [12] M. B. Yassen, S. Aljawaerneh, and R. Abdulraziq, "Secure low energy adaptive clustering hierarchal based on internet of things for wireless sensor network (WSN): Survey," In 2016 International Conference on Engineering & MIS (ICEMIS), 2016, pp. 1-9. [13] A. Mir and A. Khachane, "Sensing Harmful Gases in Industries Using IOT and WSN," In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 2018, pp. 1-3. [14] S. Bera, S. Misra, S. K. Roy, and M. S. Obaidat, "Soft-WSN: Software-Defined WSN Management System for IoT Applications," IEEE Systems Journal, vol. 12, no. 3, pp. 2074-2081, 2018. [15] M. M. Afsar and M.-H. Tayarani-N, "Clustering in sensor networks: A literature survey," Journal of Network and Computer Applications, vol. 46, pp. 198-226, 2014/11/01/ 2014. [16] A. Fahad et al., "A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis," IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 3, pp. 267-279, 2014. [17] J. Blanckenstein, J. Klaue, and H. Karl, "A Survey of Low-Power Transceivers and Their Applications," IEEE Circuits and Systems Magazine, vol. 15, no. 3, pp. 6-17, 2015. [18] M. Abdoos, A. Esmaeili, and N. Mozayani, "Holonification of a Network of Agents Based on Graph Theory," Berlin, Heidelberg, 2012, pp. 379-388: Springer Berlin Heidelberg. [19] M. Khazaei and N. Mozayani, "Overload management with regard to fairness in session initiation protocol networks by holonic multiagent systems," International Journal of Network Management, vol. 27, no. 3, p. e1969, 2017. [20] M. Khazaei and N. Mozayani, "A dynamic distributed overload control mechanism in SIP networks with holonic multi-agent systems," Telecommunication Systems, vol. 63, no. 3, pp. 437-455, 2016/11/01 2016. [21] I. E. Antoniou and E. T. Tsompa, "Statistical Analysis of Weighted Networks," Discrete Dynamics in Nature and Society, vol. 2008, p. 375452, 2008/05/06 2008. [22] O. Fercoq, "Perron vector optimization applied to search engines," Applied Numerical Mathematics, vol. 75, pp. 77-99, 2014/01/01/ 2014. [23] A. Esmaeili, N. Mozayani, and M. R. J. Motlagh, "Multi-level holonification of multi-agent networks," in 2014 Iranian Conference on Intelligent Systems (ICIS), 2014, pp. 1-5. [24] J. Wang, J. Liao, T. Li, J. Wang, J. Wang, and Q. Qi, "Probe-based end-to-end overload control for networks of SIP servers," Journal of Network and Computer Applications, vol. 41, pp. 114-125, 2014/05/01/ 2014. [25] J. Liao, J. Wang, T. Li, J. Wang, J. Wang, and X. Zhu, "A distributed end-to-end overload control mechanism for networks of SIP servers," Computer Networks, vol. 56, no. 12, pp. 2847-2868, 2012/08/16/ 2012. [26] W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, 2002. [27] M. Khazaei, “Analytical Model to Create Proxy Server Sessions in Multimedia Networks, “Journal of Information Systems and Telecommunication, vol. 9, Special Issue, pp. 10-20, 2021.Rudra KalyanNayakRamamani TripathyHitesh MohapatraAmiya Kumar RathDebahuti Mishra83202216116810.52547/jist.27327.10.39.161http://jist.ir/en/Article/27327http://jist.ir/en/Article/Download/27327http://jist.ir/en/Article/Download/27327http://jist.ir/en/Article/Download/27327http://jist.ir/en/Article/Download/27327http://jist.ir/en/Article/Download/27327http://jist.ir/en/Article/Download/27327http://jist.ir/en/Article/Download/27327[1] D. M. Rosenbaum, S. G. Rasmussen, and B. K. Kobilka, “The structure and function of G-protein-coupled receptors,” Nature, vol. 459, no. 7245, pp. 356-363, May 2009. [2] C. Ellis, “The state of GPCR research in 2004,” Nature Reviews Drug Discovery, vol. 3, no. 7, pp. 577-626, 2004. [3] C. J. Baier, J. Fantini, and F. J. Barrantes, “Disclosure of cholesterol recognition motifs in transmembrane domains of the human nicotinic acetylcholine receptor,” Scientific reports, vol. 1, no. 1, pp. 1-7, 2011. [4] X. Sun and G. R. Whittaker, “Role for influenza virus envelope cholesterol in virus entry and infection,” Journal of virology, vol. 77, no. 3, pp. 12543-12551, 2003. [5] T. J. Pucadyil, A. Chattopadhyay, “Role of cholesterol in the function and organization of G-protein coupled receptors,” Progress in lipid research, vol. 45, no. 4, pp. 295-333, 2006. [6] S. Putluri, M. Z. Rahman, C. S. Amara, and N. Putluri, “New exon prediction techniques using adaptive signal processing algorithms for genomic analysis, IEEE Access, vol. no. 7, pp. 80800-80812, 2019. [7] T. A. Masoodi, N. A. Shaik, S. Burhan, Q. Hasan, G. Shafi, and V. R. Talluri, “Structural prediction, whole exome sequencing and molecular dynamics simulation confirms p. G118D somatic mutation of PIK3CA as functionally important in breast cancer patients,” Computational biology and chemistry, vol. 80, no. 2, pp. 472-479, 2019. [8] A. Ahilan, G. Manogaran, C. Raja, S. Kadry, S. N. Kumar, C. A. Kumar, T. Jarin, S. Krishnamoorthy, P. M. Kumar, G. C. Babu, and N. S. Murugan, “Segmentation by fractional order darwinian particle swarm optimization based multilevel thresholding and improved lossless prediction based compression algorithm for medical images,” IEEE Access, vol. 7, pp. 89570-89580, 2019. [9] N. Jayanthi, B. V. Babu, and N. S. Rao, “Survey on clinical prediction models for diabetes prediction,” Journal of Big Data, vol. 4, no. 1, pp. 1-5, 2017. [10] M. Anila, and G. Pradeepini, “Study of prediction algorithms for selecting appropriate classifier in machine learning,” Journal of Advanced Research in Dynamical and Control Systems, vol. 9, pp. 257-268, 2017. [11] R. Tripathy, D. Mishra, and V. B. Konkimalla, “A novel fuzzy C-means approach for uncovering cholesterol consensus motif from human G-protein coupled receptors (GPCR),” Karbala International Journal of Modern Science, vol. 1, no. 4, pp. 212-224, 2015. [12] R. Tripathy, D. Mishra, V. B. Konkimalla, and R. K. Nayak, “A computational approach for mining cholesterol and their potential target against GPCR seven helices based on spectral clustering and fuzzy c-means algorithms,” Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 305-314, 2018. [13] R. M. Epand, A. Thomas, R. Brasseur, and R. F. Epand, “Cholesterol interaction with proteins that partition into membrane domains: an overview,” Cholesterol Binding and Cholesterol Transport Proteins, pp. 253-278, 2010. [14] R. M. Epand, “Cholesterol and the interaction of proteins with membrane domains. Progress in lipid research,” vol. 45, no. 4, pp. 279-294, 2006. [15] D. Gurram, and M. N. Rao, ‘A comparative study of support vector machine and logistic regression for the diagnosis of thyroid dysfunction,” International Journal of Engineering & Technology, vol. 7, no. 1.1, pp. 326-328, 2018. [16] H. Jyothula, S. K. Rao, and V. Vallikumari, “Two phase active counter mechanism embedded with particle swarm optimization technique for segmentation of bio-medical images,” Journal of Advanced Research in Dynamical and Control Systems, vol. 9, no. 6, pp. 232-242, 2017. [17] S. Razia, M. R. Narasingarao, and P. Bojja, “Development and analysis of support vector machine techniques for early prediction of breast cancer and thyroid,” Journal of Advanced Research in Dynamical and Control Systems, vol. 9, no. 6, pp. 869-878, 2017. [18] P. Siva Kumar, V. Sarvani, P. Prudhvi Raj, K. Suma, and D. Nandu, “Prediction of heart disease using multiple regression analysis and support vector machines,” Journal of Advanced Research in Dynamical and Control Systems, vol. 9, no. 18, pp. 675-682, 2017. [19] N. Rajesh, T. Maneesha, S. Hafeez, and H. Krishna, “Prediction of heart disease using machine learning algorithms,” International Journal of Engineering & Technology(UAE), vol. 7, no. 2.32, pp. 363-366, 2018. [20] Q. B. Gao QB, Z. Z. Wang, “Classification of G-protein coupled receptors at four levels,” Protein Engineering, Design and Selection, vol. 19, no. 11, pp. 511-516, 2006. [21] Q. Gu, Y. S. Ding, and T. L. Zhang, “Prediction of G-protein-coupled receptor classes in low homology using Chou's pseudo amino acid composition with approximate entropy and hydrophobicity patterns,” Protein and peptide letters, vol. 17, no. 5, pp. 559-567, 2010. [22] M. Bhasin, and G. P. Raghava, “GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors,” Nucleic acids research, vol. 33, no. 2, pp. W143-147, 2005. [23] http://www.uniprot.org [24] Z. Pawlak, “Rough sets,” International journal of computer & information sciences, vol. 11, no. 5, pp. 341-356, 1982. [25] A. Skowron, J. Komorowski, Z. Pawlak, and L. Polkowski, “Rough sets perspective on data and knowledge,” In Handbook of data mining and knowledge discovery, pp. 134-149, 2002. [26] Z. Pawlak, and A. Skowron, “Rough membership functions,” In Advances in the Dempster-Shafer theory of evidence, pp. 251-271, 1994. [27] L. Polkowski, “Rough sets,” Heidelberg: Physica-Verlag, 2002. [28] L. Polkowski, and A. Skowron, “Rough mereological calculi of granules: A rough set approach to computation,” Computational Intelligence, vol. 17, no. 3, pp. 472-492, 2001. [29] M. A. Carreira-Perpinan, “Gaussian mean-shift is an EM algorithm,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 5, pp. 767-776, 2007. [30] H. E. Cetingul, and R. Vidal, “Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds” In 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1896-1902, 2009, IEEE. [31] C. C. Chang, and C. J. Lin, “IJCNN 2001 challenge: Generalization ability and text decoding,” In IJCNN'01 International Joint Conference on Neural Networks, Proceedings (Cat. No. 01CH37222), vol. 2, pp. 1031-1036, 2001, IEEE. [32] Y. Cheng, “Mean shift, mode seeking, and clustering,” IEEE transactions on pattern analysis and machine intelligence, vol. 17, no. 8, pp. 790-799, 1995. [33] R. T. Collins, “Mean-shift blob tracking through scale space,” In 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings, vol. 2, pp. II-234, 2003, IEEE. [34] D. Comaniciu, and P. Meer, “Mean shift: A robust approach toward feature space analysis,” IEEE Transactions on pattern analysis and machine intelligence, vol. 24, no. 5, pp. 603-619, 2002. [35] D. S. Wilks, “Statistical methods in the atmospheric sciences,” Academic press, 2011. [36] M. A. Carreira-Perpinán, “Fast nonparametric clustering with Gaussian blurring mean-shift” In Proceedings of the 23rd international conference on Machine learning, pp. 153-160, 2006. [37] M. A. Carreira-Perpinan, “Acceleration strategies for Gaussian mean-shift image segmentation,” In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), vol. 1, pp. 1160-1167, 2006, IEEE.SalarMohtajHabibollahAsghari83202216917910.52547/jist.33583.10.39.169http://jist.ir/en/Article/33583http://jist.ir/en/Article/Download/33583http://jist.ir/en/Article/Download/33583http://jist.ir/en/Article/Download/33583http://jist.ir/en/Article/Download/33583http://jist.ir/en/Article/Download/33583http://jist.ir/en/Article/Download/33583http://jist.ir/en/Article/Download/33583 [1] A. Barrón-Cedeño, P. Rosso, D. Pinto, and A. Juan, “On Cross-lingual Plagiarism Analysis using a Statistical Model“, Proceedings of the ECAI’08 workshop on uncovering plagiarism, authorship and social software misuse, Patras, Greece, 22 July 2008 (Vol. 377). CEUR-WS.org. [2] N. Ehsan, and A. Shakery, “Candidate document retrieval for cross-lingual plagiarism detection using two-level proximity information”, Information Processing and Management, vol. 52, no. 6, pp. 1004-1017, 2016. [3] C. Callison-Burch, “Paraphrasing and translation”, Doctoral Dissertation, School of Informatics, University of Edinburgh, 2007. [4] M. Potthast, A. Barrón-Cedeño, A. Eiselt, B. Stein, and P. Rosso, “Overview of the 2nd international competition on plagiarism detection”. In CLEF 2010 labs and workshops, notebook papers, 22-23 September 2010, Padua, Italy (Vol. 1176). CEUR-WS.org. [5] M. Potthast, B. Stein, A. Eiselt, A. Barrón-Cedeño, and P. Rosso, “Overview of the 1st international competition on plagiarism detection”. In 3rd PAN workshop; Uncovering plagiarism, authorship and social software misuse (PAN 09), San Sebastian, Spain, 10 September 2009, pp. 1–9. [6] A. Barrón-Cedeño, P. Rosso, S. L. Devi, P. D. Clough, and M. Stevenson, “PAND@FIRE: Overview of the cross-language !ndian text re-use detection competition.“ Multi-lingual information access in south asian languages - second international workshop, FIRE 2010, gandhinagar, india, february 19-21, 2010 and third international workshop, FIRE 2011, Bombay, India, 2-4 December 2011, revised selected papers (Vol. 7536, pp. 59–70). Springer. [7] M. S., Arefin, Y. Morimoto, and M. A. Sharif. “BAENPD: A Bilingual Plagiarism Detector”, Journal of Computers. vol. 8, no. 5, pp. 1145-1156, 2013. [8] D. Pinto, J. Civera, A. Barrón-Cedeño, A. Juan, and P. Rosso. “A statistical approach to cross-lingual natural language tasks” Journal of Algorithms, vol 64, no. 1, pp. 51-60, 2009. [9] M. Potthast, A. Eiselt, A. Barrón-Cedeño, B. Stein, B., and P. Rosso, “Overview of the 3rd international competition on plagiarism detection”. In CLEF 2011 labs and workshop, notebook papers, 19-22 September 2011, Amsterdam, the Netherlands (Vol. 1177). CEUR-WS.org. [10] W. A. Gale, and K. W. Church, “A program for aligning sentences in bilingual corpora." Computational Linguistics, vol. 19, no. 1 pp. 75-102. 1993. [11] R. C. Pereira, V. P. Moreira, and R. Galante, “A new approach for cross-language plagiarism analysis”. Multi-lingual and multimodal information access evaluation: International conference of the cross-language evaluation forum, CLEF 2010, Padua, Italy, 20-23 September 2010. Proceedings (Vol. 6360, pp. 15–26). Springer. [12] M. Potthast, A. Barrón-Cedeño, B. Stein, and P. Rosso, “Cross-language plagiarism detection”, Language Resources and Evaluation, vol. 45, no. 1, pp. 45–62, 2011. [13] Z. Ceska, M. Toman, and K. Jezek, “Multi-lingual plagiarism detection”. In 13th international conference on Artificial intelligence: Methodology, systems, and applications, (AIMSA 2008), Varna, Bulgaria, September 4-6, 2008. Proceedings (Vol. 5253, pp. 83–92). Springer. [14] M. Potthast, M., Hagen, M., Völske, M. and B. Stein, “Crowdsourcing interaction logs to understand text reuse from the web”, In Proceedings of the 51st annual meeting of the Association for Computational Linguistics (ACL) (Volume 1: Long Papers), Sofia, Bulgaria, 4-9 August 2013, pp. 1212-1221. [15] H. Asghari, O. Fatemi, S. Mohtaj, H. Faili, and P. Rosso. “On the use of word embedding for cross language plagiarism detection”, Intelligent Data Analysis, vol. 23, no. 3, pp. 661-680, 2019. [16] E. Al-Thwaib, B. H. Hammo, and S. Yagi, “An academic Arabic corpus for plagiarism detection: Design, construction and experimentation”, International Journal of Educational Technology in Higher Education, vol. 17, no. 1, pp.1-26. 2020. [17] K. Khoshnavataher, V. Zarrabi, S. Mohtaj, S., and H. Asghari, “Developing monolingual Persian corpus for extrinsic plagiarism detection using artificial obfuscation”, Notebook for PAN at CLEF 2015. [18] M. Potthast, B. Stein, A. Barrón-Cedeño, and P. Rosso. “An evaluation framework for plagiarism detection”, In COLING 2010: 23rd International Conference on Computational Linguistics, 23-27 August 2010, Beijing, China, posters volume, pp. 997-1005. [19] S. F. Adafre, and M. De Rijke, “Finding similar sentences across multiple languages in Wikipedia”. In Proceedings of the 11th conference of the European chapter of the Association for Computational Linguistics, 4 April 2006, Trento, Italy, pp. 62–69. [20] P. G. Otero, and I. G. L´opez, “Wikipedia as multi-lingual source of comparable corpora”, In Proceedings of the 3rd Workshop on Building and Using Comparable Corpora, LREC, pp. 21–25, 2010. [21] T. Wang, R. Di, and J. Song, “A Novel Online Encyclopedia-Oriented Approach for Large-Scale Knowledge Base Construction”, J. Softw., vol. 9, no 2, pp. 482–489, 2014. [22] P. Resnik, “Mining the web for bilingual text”, In Proceedings of the 27th annual meeting of the Association for Computational Linguistics (ACL), university of Maryland, College Park, Maryland, USA, 20-26 June 1999. pp. 527-534. [23] H. Zamani, H. Faili, A. Shakery, “Sentence alignment using local and global information”, Computer Speech & Language, 39, pp. 88-107, 2016. doi: 10.1016/j.csl.2016.03.002. [24] A. Barrón-Cedeño, M. L. Paramita, P. D. Clough, and P. Rosso, “A comparison of approaches for measuring cross-lingual similarity of Wikipedia articles”. Advances in information retrieval - 36th European Conference on IR Research, (ECIR 2014), Amsterdam, the Netherlands, 13-16 April 2014. Proceedings (Vol. 8416), pp. 424–429, Springer. [25] M. Rosvall, and C. T. Bergstrom, C. T. “Maps of random walks on complex networks reveal community structure”. Proceedings of the National Academy of Sciences of the USA, 105(4), 2008, pp. 1118–1123. [26] S. Fortunato, and A. Lancichinetti, “Community detection algorithms: A comparative analysis: invited presentation, extended abstract. In 4th international conference on performance evaluation methodologies and tools, VALUETOOLS’09, Pisa, Italy, 20-22 October 2009, pp. 1-2. ICST/ACM. [27] A. Farghaly, “Computer processing of Arabic script-based languages: current state and future directions”. In Proceedings of the workshop on computational approaches to Arabic script-based languages, Stroudsburg, PA, USA, 28 August 2004, pp. 1-1. [28] S. Mohtaj, B. Roshanfekr, A. Zafarian, and H. Asghari. “Parsivar: A language processing toolkit for Persian”, In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 7-12 May 2018, Miyazaki, Japan, pp. 1112-1118. [29] M. Potthast, T. Gollub, M. Hagen, J. Kiesel, M. Michel, M., A. Oberlander, B. Stein, B. “Overview of the 4th international competition on plagiarism detection”. In CLEF 2012 evaluation labs and workshop, online working notes, Rome, Italy, 17-20 September 2012 (Vol. 1178). CEUR-WS.org. [30] P. Clough and M. Stevenson, “Developing a corpus of plagiarized short answers”, Language Resources and Evaluation, vol. 45, no 1, pp. 5–24, 2011. [31] M. L. Paramita, P. D. Clough, A. Aker, A., and R. J. Gaizauskas. “Correlation between similarity measures for inter-language linked Wikipedia articles”. In Proceedings of the eighth international conference on language resources and evaluation, (LREC 2012), Istanbul, Turkey, 23-25 May 2012, pp. 790–797. [32] H. Asghari, K. Khoshnava, O. Fatemi, and H. Faili, “Developing bilingual plagiarism detection corpus using sentence aligned parallel corpus”, Notebook for PAN at CLEF, 2015.