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                        [1] Obit, J. H., Developing Novel Meta-heuristic, Hyper-heuristic and Cooperative Search for Course Timetabling Problems, Ph.D. Thesis, School of Computer Science University of Nottingham, 2010. 
[2] Gotlib, C. C., &quot;The Construction of Class-Teacher TimeTables&quot;, Proc IFIP Congress, Vol. 62, pp. 73-77, 1963.
[3] Asmuni, H., Fuzzy Methodologies for Automated University Timetabling Solution Construction and Evaluation, Ph.D. Thesis, School of Computer Science University of Nottingham, 2008. 
[4] Lewis, M. R., Metaheuristics for University Course Timetabling, Ph.D. Thesis, Napier University, 2006.
[5] Redl, T. A., A Study of University Timetabling that Blends Graph Coloring with the Satisfaction of Various Essential and Preferential Conditions, Ph.D. Thesis, Rice University, Houston, Texas, 2004.
[6] Babaei, H., Hadidi, A., &quot;A Review of Distributed Multi-Agent Systems Approach to Solve University Course Timetabling Problem&quot;, ACSIJ Advances in Computer Science: an International Journal, Vol. 3, Issue 5, No. 11, ISSN: 2322-5157, pp. 19-28, 2014.
[7] Feizi-Derakhshi, M. R., Babaei, H., Heidarzadeh, J., &quot;A Survey of Approaches for University Course TimeTabling Problem&quot;, Proceedings of 8th International Symposium on Intelligent and Manufacturing Systems, Sakarya University Department of Industrial Engineering, Adrasan, Antalya, Turkey, pp. 307-321, 2012.
[8] Babaei, H., Karimpour, J., Hadidi, A., &quot;A survey of approaches for university course timetabling problem&quot;, Computers &amp; Industrial Engineering, 86, pp. 43–59, 2015.
 [9] Obit, J. H., Landa-Silva, D., Ouelhadj, D., Khan Vun, T., Alfred, R., &quot;Designing a Multi-Agent Approach System for Distributed Course TimeTabling,&quot; IEEE, 2011.
[10] Shatnawi, S., Al -Rababah, K., Bani-Ismail, B., &quot;Applying a Novel Clustering Technique Based on FP- Tree to University Timetabling Problem: A Case Study,&quot; IEEE, 2010.
[11] Wangmaeteekul, P., Using Distributed Agents to Create University Course TimeTables Addressing Essential Desirable Constraints and Fair Allocation of Resources, Ph.D. Thesis, School of Engineering &amp; Computing Sciences Durham University, 2011.
[12] Amintoosi, M., Haddadnia, J., &quot;Fuzzy C-means Clustering Algorithm to Group Students in A Course into Smaller Sections,&quot; Springer-Verlag Berlin Heidelberg, LNCS 3616, pp. 147–160, 2005.
[13] S. Srinivasan, J. Singh, V. Kumar, &quot;Multi-Agent based Decision Support System Using Data Mining and Case Based Reasoning&quot;, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 2, July 2011.
[14] DeWerra, D., &quot;An Introduction to TimeTabling&quot;, European Journal of Operational Research, 19: pp. 151-162, 1985.
[15] Asham, G.M.,  Soliman, M.M., Ramadan, A.R., &quot;Trans Genetic Coloring Approach for Timetabling Problem&quot;, Artificial Intelligence Techniques Novel Approaches &amp; Practical Applications, IJCA, pp. 17-25, 2011.
[16] Daskalaki, S., Birbas, T., Housos, E., &quot;An integer programming formulation for a case study in university timetabling&quot;, European Journal of Operational Research, 153 (2004), pp. 117–135, 2004.
[17] Daskalaki, S., Birbas, T., &quot;Efficient solutions for a university timetabling problem through integer programming”, European Journal of Operational Research, 160 (2005), pp. 106–120, 2005. 
[18] Khonggamnerd, P.,  Innet, S., &quot;On Improvement of Effectiveness in Automatic University Timetabling Arrangement with Applied Genetic Algorithm&quot;,  978-0-7695-3896-9, IEEE, 2009.
[19] Alsmadi, O. MK., Abo-Hammour, Z. S., Abu-Al-Nadi, D. I., Algsoon, A., &quot;A Novel Genetic Algorithm Technique for Solving University Course Timetabling Problems&quot;, 978-1-4577-0690-5/11, IEEE, 2011.
[20] Mayer, A., Nothegger, C., Chwatal, A., Raidl, G.,  &quot;Solving the Post Enrolment Course Timetabling Problem by Ant Colony  Optimization”, In Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling, 2008.
[21] Ayob, M., Jaradat, G., &quot;Hybrid Ant Colony Systems For Course Timetabling Problems&quot;, 2nd Conference on Data Mining and Optimization 27-28 October 2009, Selangor, Malaysia, IEEE, pp. 120-126, 2009.
[22] Jat, N. S., Shengxiang, Y.,  &quot;A Memetic Algorithm for the University Course Timetabling Problem&quot;, 20th IEEE International Conference on Tools with Artificial Intelligence, IEEE, pp. 427-433, 2008.
[23] Alvarez, R., Crespo, E., Tamarit, J. M., &quot;Design and Implementation of a Course Scheduling System Using Tabu Search&quot;, European Journal of Operational Research 137, pp. 512-523, 2002. 
[24] Aladag, C. H., Hocaoglu, G., Basaran, A. M., &quot;The effect of neighborhood structures on tabu search algorithm in solving course timetabling problem&quot;, Expert Systems with Application, 36 (2009), pp. 12349–12356, 2009.
[25] Tuga, M., Berretta, R., Mendes, A., &quot;A Hybrid Simulated Annealing with Kempe Chain Neighborhood for the University Timetabling Problem&quot;, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007.
[26] Shengxiang, Y., Jat, N.S., &quot;Genetic Algorithms with Guided and Local Search Strategies for University Course Timetabling&quot;, IEEE Transactions on Systems, MAN, and Cybernetics-PART C: Applications and Reviews, Vol. 41, No. 1, January 2011.
[27] Abdullah, S., Burke, E.K., McColloum, B., &quot;An Investigation of Variable Neighborhood Search for University Course Timetabling&quot;, In The 2th Multidisciplinary Conference on Scheduling: Theory and Applications, NY, USA, pages 413-427, 2005.
[28] Kostuch, P., &quot;The University Course Timetabling Problem with a Three-Phase Approach&quot;, In Lecture Notes in Computer science, pages 109-125, Springer-Berlin / Heidelberg, 2005.  
[29] Shahvali Kohshori, M., Abadeh, M. S., &quot;Hybrid Genetic Algorithms for University Course Timetabling&quot;, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 2, No 2, March 2012.
[30] Asmuni, H., Burke, E.K., Garibaldi, J.M., &quot;Fuzzy multiple heuristic ordering for course timetabling&quot;, The Proceedings of the 5th United Kingdom Workshop on Computational Intelligence (UKCI05), London, UK, pp 302-309, 2005b. 
[31] Golabpour, A., Mozdorani Shirazi, H.,  Farahi, A.,  kootiani, M., beige, H., &quot;A fuzzy solution based on Memetic algorithms for timetabling&quot;, International Conference on MultiMedia and Information Technology, IEEE, pp. 108-110, 2008.
[32] Chaudhuri, A., Kajal, D., &quot;Fuzzy Genetic Heuristic for University Course Timetable Problem&quot;, Int. J. Advance. Soft Comput. Appl., Vol. 2, No. 1, ISSN 2074-8523, March 2010.
[33] Gaspero, L.D., Missaro, S., Schaerf, A., “A Multi-agent Architecture for Distributed Course Timetabling&quot;, Proceedings of the 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT &#039;04), pp. 471-474, 2004.
[34] Meisels, A., Kaplansky, E., &quot;Scheduling Agents-Distributed TimeTabling Problems (DisTTP)&quot;, Springer- Verlog Berlin Heldelberg, LNCS 2740, PP. 166 – 177, 2003.
[35] Nandhini, M., Kanmani, S., &quot;Implementation of Class Timetabling Using Multi Agents&quot;, 978-1-4244-4711-4/09, IEEE, 2009.
[36] Yanga, Y., Paranjape, R.,  &quot;A multi-agent system for course timetabling&quot;, Intelligent Decision Technologies, Computer Science and Artificial Intelligence, IOS Press, Volume 5, page 113-131, Number 2, 2011.
[37] Babaei, H., Karimpour, J., Oroji, H., &quot;Using fuzzy c-means clustering algorithm for common lecturers timetabling among departments&quot;, 6th International Conference on Computer and Knowledge Engineering (ICCKE 2016), 978-1-5090-3586 IEEE, October 20-21, Ferdowsi University of Mashhad, 2016.
[38] Babaei H., Karimpour J., Hadidi A., &quot;Common lecturers timetabling among departments based on funnel-shape clustering algorithm&quot;, Springer Science + Business Media New York, Applied Intelligence, DOI 10.1007/s10489-016-0828-5, 46: pp. 386-408, 2017.
[39] Babaei H., Karimpour J., Mavizi S., &quot;Using k-means clustering algorithm for common lecturers timetabling among departments”, ACSIJ Advances in Computer Science: an International Journal, Vol. 5, Issue 1, No.19, ISSN: 2322-5157, pp. 86-102, 2016.
[40] Ross, J. T., Fuzzy logic with engineering applications. Wiley, University of New Mexico, New Mexico, 2004.
[41] Babaei, H., Karimpour, J., Hadidi, A., &quot;Applying Hybrid Fuzzy Multi-Criteria Decision-Making Approach to Find the Best Ranking for the Soft Constraint Weights of Lecturers in UCTP&quot;, Int. J. Fuzzy Syst. Taiwan Fuzzy Systems Association and Springer -Verlag Berlin Heidelberg, 2017.
[42] Babaei H., Karimpour J., Hadidi A., &quot;Generating an optimal timetabling for multi-departments common lecturers using hybrid fuzzy and clustering algorithms&quot;, Springer-Verlag GmbH Germany, Soft Computing, doi.org/10.1007/s00500-018-3126-9, Volume 23, Issue 13, pp 4735–4747, 2019.
[43] Babaei H.,  Hadidi A., &quot;Generating optimal timetabling for lecturers using hybrid fuzzy and clustering algorithms&quot;, Journal of Artifical Intelligence in Electrical Engineering, Vol. 6, No. 21, 2017.
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                        [1]	John, J. Grefenstette and Ramsey. Connie, L.,  &quot;An approach to anytime learning&quot;. In International Conference on Machine Learning, pages 189–195, 1992.
[2]	Branke, J. Kaußler, T. Schmidt, C. and Schmeck, H., &quot;A multi population approach to dynamic optimization problems&quot;. In Adaptive Computing in Design and Manufacturing, pages 299–308, 2000.
[3]	Branke, J. &quot;Evolutionary Optimization in Dynamic Environment&quot;. Kluwer, 2002.
[4]	Darwin, C. on the Origins of Species by means of natural selection, or the preservation of favoured race in the struggle for life. LONDON: JOHN MURRAY (1STEDITION), 1859.
[5]	Jin, Y., and Branke, J. &quot;Evolutionary Optimization In Uncertain environments: A Survey&quot;, IEEE Transactions On Evolutionary Computation, Vol. 9(3), 303-317, 2005.
[6]	Whitley, d. Genitor: A Different Genetic Algorithm. In Proceedings of the Rocky Mountain Conference on Artificial Intelligence, 118-130, 1988.
[7]	Cobb, H.G. An Investigation Into The Use Of Hyper-mutation As An Adaptive Operator In Genetic Algorithms Having Continuous, Time dependent Nonstationary Environments, Technical Report Aic-90- 001, 1990, Naval Research Laboratory, Washington, USA.
[8]	Grefenstette, J.J. (1999). Evolvability in Dynamic Fitness Landscapes: A Genetic Algorithm Approach. In Proceedings of the 1999 IEEE Congress on Evolutionary Computation (Cec’1999), Vol. 3, IEEE Press, 2031-2038.
[9]	Bak, p., and sneppen, k. (2003). Punctuated equilibrium and criticality in a simple model of evolution. Physical review of letters, vol. 71(24), 4083-4086.
[10]	Stephens, C.R., Olmedo, I.G., Vargas, J.M., and Waelbroeck. H. (1998). Selfadaptation in Evolving Systems. Artificial life, vol. 4(2), 183-201.
[11]	Goldberg, D.E., and Smith, R.E. (1987). Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. In J.J. Grefenstette (Ed.): Proceedings Of The 2nd International Conference On Genetic Algorithm, L. Erlbaum Associates, Hillsdale, Nj, USA, 59-68.
[12]	Uyar, A.S., and Harmanci, A.E. (2005). A New Population Based Adaptive Domination Change Mechanism For Diploid Genetic Algorithms In 237dynamic Environments. Journal Of Soft Computing, Vol. 9(11), 803–815.
[13]	Ryan, C. (1997). Diploidy without Dominance. In J.T. Alander (Ed.), Proceedings of the 3rd Nordic Workshop on Genetic Algorithms and Their Applications, 63-70.
[14]	Lewis, J., Hart, E., and Ritchie, G. (1998). A Comparison of Dominance Mechanisms and Simple Mutation on Non Stationary Problems. In A.E. Eiben, T. Bäck, M. Schoenauer, H.-P. Schwefel (Eds.), Proceedings Of 5th International Conference On Parallel Problem Solving From Nature (PPSN-V), Lecture Notes In Computer Science, Vol. 1498, Springer-Verlag, London, UK, 139-148.
[15]	Dasgupta, D., and Mcgregor, D.R. (1992). Nonstationary Function Optimization Using the Structured Genetic Algorithm. In R. Manner R And B. Manderick (Eds.), Proceedings Of The 2nd International Conference on Parallel Problem Solving From Nature (Ppsn-Ii), Elsevier Science, New York, 145-154.
[16]	Klinkmeijer, L.Z., De Jong, E., and Wiering, M. (2006). A Serial Population Genetic Algorithm for Dynamic Optimization Problems. In Y. Saeys, E. Tsiporkova, B. De Baets And Y..Van De Peer (Eds.), Proceedings of the Annual Machine Learning Conference of Belgium and the Netherlands, 41-48.
[17]	Hollstein, R.B. (1971). Artificial Genetic Adaptation in Computer Control Systems. Doctoral Thesis. University of Michigan.
[18]	Ramsey, C.L., and Grefenstette, J.J. (1993). Case-Based Initialization of Genetic Algorithms. In S. Forrest (Ed.), Proceedings of the 5th International Conference Genetic Algorithms (Icga’1993), Morgan Kaufmann, San Francisco, 84–91.
[19]	Trojanowski, K., and Michalewicz, Z. (2000). Evolutionary Optimization in Non-Stationary Environments. Journal of Computer Science and Technology, Vol. 1(2), 93-124.
[20]	Yang, S. (2008). Genetic Algorithms with Memory- And Elitism-Based Immigrants in Dynamic Environments. Evolutionary Computation, Vol. 16(3), 385-416.
[21]	مجید محمدپور و حمید پروین.&quot;الگوریتم ژنتیک آشوب¬گونه مبتنی بر حافظه و خوشه¬بندی برای حل مسائل بهینه¬سازی پویا&quot;. مجله مهندسی برق دانشگاه تبریز. جلد 46. شماره 3. پاییز 1396.
[22]	Mohammadpour M, Parvin H, Sina M (2018) Chaotic genetic algorithm based on explicit memory with a new strategy for updating and retrieval of memory in dynamic environments. J AI Data Min 6:191–205 (in press).
[23]	M. Mohammadpour, H. Parvin. “Genetic Algorithm Based on Explicit Memory for Solving Dynamic Problems”.  In Journal of Advances in Computer Research Sari Branch Islamic Azad University, vol. 7, no. 2, pp. 53-68, 2016.
[24]	H. Parvin., S. Nejatian., M. Mohammadpour, “Explicit memory based ABC with a clustering strategy for updating and retrieval of memory in dynamic environments”. In Applied Intelligence Springer Nature, 2018. doi: 10.1007/s10489-018-1197-z.
[25]	Ursem. R. K. (2000). Multinational Ga Optimization Techniques in Dynamic Environments. In Proceedings of the 2000 Genetic and Evolutionary Computation Conference (Gecco’2000), Morgan Kaufmann, San Francisco, 19-26.
[26]	Park, T., and Ryu, K.R. (2007a). A Dual Population Genetic Algorithm with Evolving Diversity. In Proceedings of the 2007 IEEE Congress on Evolutionary Computation (Cec’2007), IEEE Press, 3516-3522.
[27]	Park, T., Choe, R., And Ryu, K.R. (2007b). Adjusting Population Distance for the Dual-Population Genetic Algorithm. In Proceedings of The Australian Conference On Artificial Intelligence (Ai’2007), Lecture Notes On Computer Science, Vol. 4830, Springer Verlag, Berlin171-180.
[28]	Park, T., Choe, R., And Ryu, K.R. (2008). Dual Population Genetic Algorithm for Nonstationary Optimization. In In Proceedings of the 2008 234 Genetic and Evolutionary Computation Conference (Gecco’2008), Acm, New York, Ny, 1025-1032.
[29]	Yang, S. (2004). Constructing Test Environments For Genetic Algorithms Based On Problem Difficulty. In Proceedings of the 2004 IEEE Congress On Evolutionary Computation, Vol. 2, IEEE Press, 2004, 1262 1269.238.
[30]	Martello, S., and Toth, P. (1990). Knapsack Problems: Algorithms and Computer Implementations. John Wiley &amp; Sons, New York.
[31]	Angeline, R.G. Reynolds, J.R. Mcdonell, and R.C. Eberhart (Eds.), Proceedings of the 6th International Conference on Evolutionary Programming, Springer-Verlag, London, UK, 335-345.
[32]	Tomassini, M. (2005). Spatially Structured Evolutionary Algorithms: Artificial Evolution In Space And Time. Natural Computing Series, Springer-Verlag New York. Inc., Secaucus, Nj, Usa, 2005.
[33]	Laredo, J.L.J., Castillo, P.A., Mora, A.M., Merelo, J.J., Rosa, A.C., and Fernandes, C.M. (2008b). Evolvable Agents in Static and Dynamic Optimization Problems. In G. Rudolph, T. Jansen, S. Lucas, C. Poloni And N. Beume (Eds.), Proceedings Of 10th International Conference On Parallel Problem Solving From Nature, Lecture Notes In Computer Science, Vol. 5199, Springer-Verlag, Berlin, 489-497.
[34]	Laredo, J.L.J., Eiben, A.E., Van Steen, M., Castillo, P.A., Mora, A.M., and Merelo, J.J. (2008a). P2p Evolutionary Algorithms: A Suitable Approach for Tackling Large Instances in Hard Optimization Problems. In E. Luque, T. Margalef And D. Benítez (Eds.), Proceedings Of The 14th International Euro-Par Conference, Lecture Notes In Computer Science, Vol. 5168, Springer Verlag, Berlin, 622–631.
[35]	Bäck, T. (1996). Evolutionary Algorithms in Theory and Practice. Oxford University Press, New York.
[36]	Goldberg, D.E. (2002). The Design of Innovation Lessons from and for Competent Genetic Algorithms. Kluwer Academic Publishers, Norwell, Ma, 2002.
[37]	Baluja, S. (1994). Population-Based Incremental Learning: A Method For Integrating Genetic Search Based Function Optimization and Competitive Learning, Technical Report CMU-Cs 94-163, Carnegie Mellon University, USA.
[38]	Harik, G.R., Lobo, F., and Sastry, K. (2006). Linkage Learning Via Probabilistic Modeling in the Ecga. In M. Pelikan, K. Sastry, E. Cantú-Paz (Eds.), Scalable Optimization Via Probabilistic Modeling: From Algorithms To Applications, Springer-Verlag New York Inc., Secaucus Inc., Nj, Usa,39-61.
[39]	Bak, P., Tang, C., and Wiesenfeld, K. (1987). Self Organized Criticality: An Explanation Of 1/F Noise. Physical Review of Letters, Vol. 59(4), 381-384.
[40]	Bak, P., and Sneppen, K. (2003). Punctuated Equilibrium and Criticality in a Simple Model of Evolution. Physical Review of Letters, Vol. 71(24), 4083-4086.
[41]	Fernandes, C.M. (2009). Pherographia: Drawing By Ants. Leonardo–Journal of the International Society for the Arts, Sciences and Technology, Mit Press, In Press.
[42]	Fernandes CM, Merelo JJ, Ramos V, Rosa AC (2008) A selforganized criticality mutation operator for dynamic optimization problems. In: Proceedings of the 2008 genetic and evolutionary computation conference. ACM, New York, pp 937–944.
[43]	Fernandes CM, Laredo JLJ, Rosa AC, Merelo JJ (2013). The sandpile mutation Genetic Algorithm: an investigation on the working mechanisms of a diversity-oriented and self-organized mutation operator for non-stationary functions. Applied Intelligence 39: 279–306.
[44]	Tinós R, Yang S (2007) A self-organizing RIGA for dynamic optimization problems. Genet Program Evol Mach 8:255–286.
[45]	Yang S (2008) Genetic algorithms with memory- and elitismbased immigrants in dynamic environments. Evol Comput 6(3):385–416.
[46]	Fernandes CM, Merelo JJ, Rosa AC (2011). A comparative study on the performance of dissortative mating and immigrants’ strategies for evolutionary dynamic optimization. Inf Sci 181(20):4428–4459.
[47]	Martello, S., and Toth, P. (1990). Knapsack Problems: Algorithms and Computer Implementations. John Wiley &amp; Sons, New York.
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                        1	Nelson, M.J. and M. Mateas(2007) Towards automated game design. in Congress of the Italian Association for Artificial Intelligence. Springer.
.2	Cook, D   (2007) The chemistry of game design. World Wide Web electronic publication,.
.3	Theodosiou, S. and I. Karasavvidis (2015) Serious games design: A mapping of the problems novice game designers experience in designing games. Journal of e-Learning and Knowledge Society,. 11(3).
.4	Björk, S. and J. Holopainen (2006) Games and design patterns. The game design reader: p. 410-437.
.5	Aleven, V., et al (2010)Toward a framework for the analysis and design of educational games. in 2010 third IEEE international conference on digital game and intelligent toy enhanced learning. IEEE.
.6	Renshaw, T., R. Stevens, and P.D. Denton (2009) Towards understanding engagement in games: an eye‐tracking study. On the Horizon,.
.7	Schrom-Feiertag, H., V. Settgast, and S. Seer (2017) Evaluation of indoor guidance systems using eye tracking in an immersive virtual environment. Spatial Cognition &amp; Computation. 17(1-2): p. 163-183.
8.	مصطفوی, س.و.ر.س.ی.س.و.ب.د.ص.( 1396) ارایه روشی در جهت بهبود روند طراحی مرحله در بازی های رایانه ای با استفاده از دستگاه ردیاب چشم. سومین کنفرانس ملی بازی های رایانه ای؛ فرصت ها و چالش ها، اصفهان، دانشگاه اصفهان.
.9	Cornia, M., et al(2018) Predicting human eye fixations via an lstm-based saliency attentive model. IEEE Transactions on Image Processing. 27(10): p. 5142-5154.
.10	Vidal, M., et al (2012) Wearable eye tracking for mental health monitoring. Computer Communications. 35(11): p. 1306-1311.
.11	Ettinger, U., et al (2003) Reliability of smooth pursuit, fixation, and saccadic eye movements. Psychophysiology. 40(4): p. 620-628.
.12	Arolt, V., et al (1998) Distinguishing schizophrenic patients from healthy controls by quantitative measurement of eye movement parameters. Biological psychiatry. 44(6): p. 448-458.
.13	Pons, J., et al (2017) Timbre analysis of music audio signals with convolutional neural networks. in 2017 25th European Signal Processing Conference (EUSIPCO). IEEE.
.14	Takahashi, R., et al (2018) A system for three-dimensional gaze fixation analysis using eye tracking glasses. 5(4): p. 449-457.
.15	Salehin, M.M. and M. Paul (2017) A novel framework for video summarization based on smooth pursuit information from eye tracker data. in Multimedia &amp; Expo Workshops (ICMEW), 2017 IEEE International Conference on. IEEE.
.16	Li, B., B. Mettler, and J. Andersh (2015) Classification of human gaze in spatial guidance and control. in Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on. IEEE.
.17	Zhang, X. and S.-M.J.I.A. Yuan (2018) An Eye Tracking Analysis for Video Advertising: Relationship Between Advertisement Elements and Effectiveness. 6: p. 10699-10707.
.18	Tatler, B.W (2007) The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions. Journal of vision. 7(14): p. 4-4.
.19	Roy, A.K., et al (2017) A Novel Technique to develop Cognitive Models for Ambiguous Image Identification using Eye Tracker.(1): p. 1-1.
.20	Yin, N. and M.G.J.J.o.H.S.N. Hluchyj (1993) Analysis of the leaky bucket algorithm for on-off data sources. 2(1): p. 81-98.
.21	Majaranta, P. and A. Bulling (2014) Eye tracking and eye-based human–computer interaction, in Advances in physiological computing. Springer. p. 39-65.
.22	Mallick, R., et al (2016) The use of eye metrics to index cognitive workload in video games. in 2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS). IEEE.
.23	Rudoy, D., et al (2013) Learning video saliency from human gaze using candidate selection. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
.24	Krejtz, K., et al (2014) Entropy-based statistical analysis of eye movement transitions. in Proceedings of the Symposium on Eye Tracking Research and Applications. ACM.
.25	Tien, T., et al (2015) Differences in gaze behaviour of expert and junior surgeons performing open inguinal hernia repair. 29(2): p. 405-413.
.26	Sarter, N.B., R.J. Mumaw, and C.D.J.H.f. Wickens (2007) Pilots&#039; monitoring strategies and performance on automated flight decks: An empirical study combining behavioral and eye-tracking data. 49(3): p. 347-357.
.27	Frutos-Pascual, M. and B. Garcia-Zapirain (2015) Assessing visual attention using eye tracking sensors in intelligent cognitive therapies based on serious games. Sensors. 15(5): p. 11092-11117.
.28	Almeida, S., Ó. Mealha, and A. Veloso (2016) Video game scenery analysis with eye tracking. Entertainment Computing. 14: p. 1-13.
.29	Polonio, L., S. Di Guida, and G. Coricelli (2015) Strategic sophistication and attention in games: An eye-tracking study. Games and Economic Behavior. 94: p. 80-96.
.30	Devetag, G., S. Di Guida, and L. Polonio (2016) An eye-tracking study of feature-based choice in one-shot games. Experimental Economics. 19(1): p. 177-201.
.31	Wang, L., et al (2015) Deep networks for saliency detection via local estimation and global search. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
.32	Kümmerer, M., T.S. Wallis, and M.J.a.p.a. Bethge (2016) DeepGaze II: Reading fixations from deep features trained on object recognition. 
.33	Xu, J., et al (2014) Predicting human gaze beyond pixels. 2014. 14(1): p. 28-28.
.34	Kummerer, M., T.S. Wallis, and M. Bethge (2018) Saliency benchmarking made easy: Separating models, maps and metrics. in Proceedings of the European Conference on Computer Vision (ECCV).
.35	Wloka, C., I. Kotseruba, and J.K. Tsotsos (2018) Active fixation control to predict saccade sequences. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
.36	Selvaraju, R.R., et al (2019) Grad-cam: Visual explanations from deep networks via gradient-based localization. in Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG).
.37	Harel, J., C. Koch, and P. Perona (2007) Graph-based visual saliency. in Advances in neural information processing systems. 
.38	Itti, L., C. Koch, and E. Niebur (1998) A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on pattern analysis and machine intelligence. 20(11): p. 1254-1259.
.39	Itti, L. and C. Koch (2000) A saliency-based search mechanism for overt and covert shifts of visual attention. Vision research. 40(10-12): p. 1489-1506.
.40	Itti, L. and P.F. Baldi (2006) Bayesian surprise attracts human attention. in Advances in neural information processing systems. 
.41	Selvaraju, R.R., et al (2017) Grad-cam: Visual explanations from deep networks via gradient-based localization. in Proceedings of the IEEE international conference on computer vision. 
.42	Simonyan, K., A. Vedaldi, and A. Zisserman (2013) Deep inside convolutional networks: Visualising image classification models and saliency maps. arXiv preprint arXiv:1312.6034.
.43	Suryawanshi, D (2018) Image Recognition: Detection of nearly duplicate images, California State University Channel Islands.
.44	Li, Q., Z.J. Huang, and K. Christianson (2016) Visual attention toward tourism photographs with text: An eye-tracking study. Tourism Management. 54: p. 243-258.
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                        [01] Information and Communication Technology as Tools for Empowerment of Inmates. OTA-CIT-366. 1998. URL.: https://www.princeton.edu/~ota/disk2/1988/8809/8809.pdf (Viewed 4 Dec 2016), (Washington, DC: U.S. Government Printing Office) : EUROPEAN JOURNAL OF EDUCATIONAL RESEARCH, 1998, Vol. p.31.
[02]  Electronic prison guard, information technology in the service of prison and prison guard. Azad, Saeed Noori. 2011. s.l. : The BBC, is based on research by the London Police Cyber Studies Center, 2011.
[03] Information Technology, a new approach to job creation. Mehdi, Fahimi. 2018. s.l. : Tadbir Monthly, 2018.
[04]  Correctional service robots to protect prisons in South Korea. gizmowatch.com. 2018. s.l. : FUCURISTIC NEWS, 2018.
[05]    Design of Security and Monitoring System for Prison. Li, Xinyu. 2013.. 282215143@qq.com, s.l. : © Springer-Verlag Berlin Heidelberg 2013, International School of Software, Wuhan University, Wuhan, China, 2013., Vols. F. Bian et al. (Eds.): G
[06]  Increasing Number of Jails, Prisons using Full-budy Digital Scanners. Matthew, Clarke. 2016. s.l. : Prison Legal News, 2016, Vol. page 42.
[07]  A REAL TIME TRACKING SYSTEM FOR INTERIOR SPACES. Enrico Hlimmerle, Paul W J Winton. Nancy - Metz, France, 1998. 325-330, s.l. : Department of Mechanical Engineering,Manufacturing Systems Research Group,The University of Auckland, Nancy - Metz, France, 1998, Vol. Copyright © IFAC Infonnation Control in Manufacturing.
[08]  The effect of digital technology on prisoner behavior. Cynthia McDougall1 &amp; Dominic A. S. Pearson2 &amp;, David J. Torgerson1 &amp; Maria Garcia-Reyes1. 2017. s.l. : # Springer Science+Business Media B.V. 2017, 2017, Vols. J Exp Criminol, DOI 10.1007/s11292-017-9303-5.
[09]   CCTV in jail housing: An evaluation of. Sara A. Debus-Sherrilla, *, Nancy G. La Vigneb and P. Mitchell Downeyc , aICF International, 9300 Lee Highway, Fairfax, VA 22031, USA., E-mail: sara.debus-sherrill@icfi.com, bUrban Institute, 2100 M St. NW, Washington DC 20037, USA. Security Journal advance online publication, 28 July 2014; doi:10.1057/sj.2014.31. This project was supported by Grant No. 2006-RP-BX-0040, awarded by the National Institute of Justice, Office of, s.l. : cDepartment of Economics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA., Security Journal advance online publication, 28 July 2014; doi:10.1057/sj.2014.31, Vol. Original Article.
[10]   Indoor Tracking and Localization of non-authorized Cellphones in Prisons Using Uplink Signals. A. Schmidt, L. Müller, B. Grossniklaus, Rolf Vetter , P. Schwab, F. Dellsperger. 2019. s.l. : 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 30 Sept. - 3 Oct. 2019, Pisa, Italy, 2019, Vols. 978-1-7281-1788-1/19/$31.00 ©2019 IEEE.
[11]   Technology and Social Control. Gary T Marx, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. 2015. 2015, Vols. International Encyclopedia of the Social &amp; Behavioral Sciences, 2nd edition, Volume 24 http://dx.doi.org/10.1016/B978-0-08-097086-8.85052-7 117.
[12]  The Prison Education Project. Renford, Reese. 2017. 2017, Vols. Political Science Department, Cal Poly Pomona University, Pomona, CA, USA.
[13]   The Emerging Role of Information Technology in Prison. Apri, Pattavina. 2018. The New Technology of Reentry, s.l.: The University of Massachusetts, Lowell, Federal PROBATION, 2018, Vol. Volume 68 Number 2.
[14]  Post, SC prisons get green light for anti-cellphone tech. Meg, Kinnard. 2016. s.l. : CorrectionsOne.com, 2016.
[15]  The Application of Artificial Intelligence in Prison. ShuFang Wu1, Jing Wang2, and QingChao Jiang1, Information Engineering Department,HeBei Software Institute Baoding, China, 2 Department of Information Management, The Central Institute for Correctional Police Baoding, China. s.l. : © Springer-Verlag Berlin Heidelberg 2012 , Vols. D. Jin and S. Jin (Eds.): Advances in FCCS, Vol. 1, AISC 159, pp. 331–335.
[16]  Research on Body-worm Cameras and Law Enforcement. National Institute of Justice. 2017. s.l. : National Institute of Justice NIJ, 2017, Vol. https://nij.ojp.gov.
[17]  Tracking Prisoners in Jail With Biometrics: An Experiment in a Navy Brig. Christopher A. Miles, Jeffrey P. Cohn. 2006. s.l. : NIJ Journal Issue 253, January 2006., 2006, Vol. https://www.nij.gov/journals/253/pages/tracking.aspx.
[18] Biometrics in Corrections: Current and Future Deployment. Turner, Allan. 2003 : EBSCO Publishing, Vol. https://www.ncjrs.gov/pdffiles1/nij/201516.pdf.
[19] Using Technology to Make Prisons and Jails Safer. philip, bulman, RMSE 2013, Part I, CCIS 398, pp. 119–127,.. 2010. s.l. : National Institute of Justice, 2010, Vol. NCJ 225764.
[20]  Probation Supervision By Smartphone. Russell, Webster. May 22, 2017. s.l. : Russell Webster, May 22, 2017.
[21]  Vircual Prison Visits Mean Some Prison Inmates Never See Family in the Flesh. Kirk, Mithell. 2017. s.l. : The Denver 2017. 
[22]  &#039;It made me feel human again&#039;&#039;: the tech easing inmates&#039; isolation. the, guardian. Sat 18 Apr 2020 11.00 BST. s.l. : US prisons, Sat 18 Apr 2020 11.00 BST, Vol. https://www.theguardian.com.
[23]  Cell Phones in Prisons. National Institute of Justice. 2011. https://nij.ojp.gov, s.l. : nij National Institute of Justice, 2011.
[24]  How tablets are helping us clean up our prison. Stewart, Sean. 2017. s.l. : washingtoneexaminer.com, 2017.
[25] Mobile Devices Help Improve Prison Life, In State and County Prisons,. nicic.gov. 2017. 2017, Vols. https://statetechmagazine.com/article/2017/01/state-and-county-prisons-mobile-devices-help-prisoners-start-better-life.
[26]  The effect of digital technology on prisoner behavior and reoffending: a natural stepped-wedge design. Garcia-Reyes1, Cynthia McDougall1 &amp; Dominic A. S. Pearson2 &amp; David J. Torgerson1 &amp; Maria. 2017. s.l. : # Springer Science+Business Media B.V. 2017, 2017, Vols. DOI 10.1007/s11292-017-9303-5.
[27]  Community Oriented Correctional Health Services (COCHS), butler, ben. 2013. s.l. : (Oakland, CA), 2013
[28]   Jails And Health Information Technology: A Framework For Creating Connectivity. By Ben Butler, Chief Information Officer, Community Oriented Correctional Health Services. August 2013. s.l. : COCHS,COMMUNITY ORIENTED CORRECTIONAL HEALT SERVICES, August 2013.
[29]  US prisons and jails using AI to mass-monitor millions of inmate calls. Chris, Francescani. 24 October 2019. s.l. : abc News, 24 October 2019.
[30]    Technology and the criminal. P. Leith et al. 1998. s.l. : © Springer-Verlag London Limited , 1998, Vol. The Computerised Lawyer.
[31]   A PRISON GUARD DURESS ALARM LOCATION SYSTEM. Thomas W. Christ, President , Philip A. Godwin, Manager of Applied Engineering, Robert E. Lavigne, P. Eng.,. 1993. HDS, Inc., 12310 Pinecrest Road, Reston, VA 22019 USA , Correctional Service Canada : CH3372-0193 $3.00 0 1993 IEEE, 1993. 106-119.
[32] THE IMPACT OF INFORMATION AND COMMUNICATION TECHNOLOGIES ON PRISON INSTITUTIONS. Ganbadrakh, TSEND-AYUSH. 2017. s.l. : Hadmérnök (XI) 1, 2017, Hadmérnök (XI) 1, pp. 278-289
[33]   The Prison Construction Decision Analysis for Reducing Capacity Overloads. Hsiao-Ling Chang1, Tyrone T. Lin2. 2017. E-mail: 1610533007@gms.ndhu.edu.tw, 2E-mail:tjlin@gms.ndhu.edu.tw, 1,2Department of International Business, Nation Dong Hwa University, Hualien, Taiwan ,  : 978-1-5386-0948-4/17/$31.00 ©2017 IEEE, 2017.
[34] سازمان زندان ها و اقدامات تامینی و تربیتی. تهران, سازمان زندان ها و اقدامات تامینی و تربیتی استان. 
[35] رویکردی جدید به نظام زندانبانی بازگشتی سعادتمندانه. شمس, علی.1382. s.l. : نشر راه تربیت، تهران, 1382.
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                        1.	Deng, L., Li, D., Cai, Z., &amp; Hong, L. (2019). Smart IOT information transmission and security optimization model based on chaotic neural computing. Neural Computing and Applications, 1-14.
2.	Wang N, Gao X, Tao D, Yang H, Li X (2018) Facial feature point detection: a comprehensive survey. Neurocomputing275:50–65.
 
3.	Ghorai G, Pal M (2018) A note on ‘‘Regular bipolar fuzzy graphs’’ Neural Computing and Applications 21 (1) (2012) 197–205. Neural Compute Apply 30(5):1569–1572.
4.	Qiu Y, Bi Y, Li Y, Wang H (2018) High resolution remote sensing image denoising algorithm based on sparse representation and adaptive dictionary learning. In Computational vision and bio inspired computing. Springer, Cham, pp 892–901
5.	Wang N, Gao X, Li J (2018) Random sampling for fast face sketch synthesis. Pattern Recogn 76:215–227
6.	Dadras S, Momeni H.R(2009) A novel three-dimensional autonomous chaotic system generating two, three and four-scroll attractors. doi:10.1016/j.physleta.2009.07.088
7.	Faezeh Rezaee, Dr Masode Taleb Ziabari, Dr Ahmad Bagheri (2019), Encrypting information using the chaotic model in IOT,http/:csc2019.guilan.ac.ir 
8.	Niu Z, Hua G, Wang L, Gao X (2018) Knowledge-based topic model for unsupervised object discovery and localization. IEEE Trans Image Process 27(1):50–63
9.	Y. A. Liu, Q. Yu, S. G. Hu, G. C. Qiao, and Y. Liu(2019) A memristor-based transient chaotic neural network model and its application. https://doi.org/10.1063/1.5115540
10.	L.Salim, B.Stelios (2019) Cryptocurrency forecasting with deep learning chaotic neural networks.
https://doi.org/10.1016/j.chaos.2018.11.014
11.	C.Stergiou, K.E. Psannis, B-Gyu.Kim, B.Gupta (2016) Secure integration of IoT and Cloud Computing.http://dx.doi.org/10.1016/j.future.2016.11.031
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