Machine Learning-Based Student Emotion Recognition Using CNN Algorithm
Keywords:
Facial recognition, Emotion detection, convolutional neural network (CNN), MYSQL database
Abstract
Human activity acknowledgement has drawn in significant examination consideration in the field of PC vision, particularly for study hall conditions. Nonetheless, most pertinent investigations have zeroed in on understudies’ explicit conduct. Along these lines, this undertaking proposes an understudy conduct acknowledgement framework because of individual feelings recognition. A machine that can comprehend the feelings of a human better can anticipate and answer the human conduct better, which thus can altogether work on the effectiveness of the assignment that is intended to be finished. An AI-based convolution brain network calculation will be utilized to prepare facial inclination pictures information base and use move learning procedure to pre-train facial the model with facial picture data set, will its loads and premise. A prepared model will catch the live gushing of understudies by utilizing a high-goal advanced camcorder that countenances towards the understudies, catching their lives feelings through look, and characterizing the feelings as cheerful, nonpartisan, angry, shocked and pitiful that can offer us a piece of knowledge into the homeroom and the understudy feeling subtleties can be saved in the MYSQL data set. This exploratory methodology can be utilized for video gatherings, online classes, and so on. This recommendation can work on the exactness of feeling acknowledgement and offices quicker learning. We have introduced the exploration techniques and the accomplished outcomes on understudy feelings in a study hall air. We have proposed a better CNN model because of move discovery that interestingly develops the feelings grouping.
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References
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41. P. Manta, S. Chandra Singh, A. Deep, and D. N. Kapoor, “Temperature‐regulated gold nanoparticle sensors for immune chromatographic rapid test kits with reproducible sensitivity: a study,” IET Nanobiotechnol., no. nbt2.12024, 2021.
42. P. Manta, R. Chauhan, H. Gandhi, S. Mahant, and D. N. Kapoor, “Formulation rationale for the development of SARS-COV-2 immunochromatography rapid test kits in India,” J. Appl. Pharm. Sci.
43. P. Manta, N. Wahi, A. Bharadwaj, G. Kour, and D. N. Kapoor, “A statistical quality control (SQC) methodology for gold nanoparticles based immune-chromatographic rapid test kits validation,” Nanosci. Nanotechnol.-Asia, vol. 11, no. 6, pp. 1–5, 2021.
44. P. Manta et al., “Analytical approach for the optimization of desiccant weight in rapid test kit packaging: Accelerated predictive stability (APS),” Systematic Reviews in Pharmacy, vol. 11, no. 8, pp. 102–113, 2020.
45. P. Manta, D. N. Kapoor, G. Kour, M. Kour, and A. K. Sharma, “critical quality attributes of rapid test kits - a practical overview,” Journal of Critical Reviews, vol. 7, no. 19, pp. 377–384, 2020.
46. G. S. Sajja, K. P. Rane, K. Phasinam, T. Kassanuk, E. Okoronkwo, and P. Prabhu, “Towards applicability of blockchain in agriculture sector,” Materials Today: Proceedings, 2021.
47. Jalil, N.A., P Prapinit, M Melan, AB Mustaffa (2019). Adoption of Business Intelligence-Technological, Individual and Supply Chain Efficiency. Proceedings of the 2019 International Conference on Machine Learning, Big Data and Business Intelligence. Year: 2019, Vol.1, P 67-73.
48. Nasir Abdul Jalil, Ha Jin Hwang, and Norazryana Mat Dawi. 2019. Machines Learning Trends, Per pectives and Prospects in Education Sector. In Proceedings of the 2019 3rd International Conference on Education and Multimedia Technology (ICEMT 2019). Association for Computing Machinery, New York, NY, USA, 201–205.
49. Jalil, N.A., Hwang, H.J. (2019). Technological-centric business intelligence: Critical success factors. International Journal of Innovation, Creativity and Change, Volume 5, Issue 2, August, 2019, Pages 1499 to 1516.
50. Nasir Abdul Jalil and Koay Kian Yeik. 2019. Systems, Design and Technologies Anxieties Towards Use of Self-service Checkout. In Proceedings of the 2019 3rd International Conference on Education and E-Learning (ICEEL 2019). Association for Computing Machinery, New York, USA, 122–127.
51. B. Singh, N. A. Jalil, D. K. Sharma, S. R, K. Kumar and D. Jebakumar immanuel, "Computational systems overview and Random Process with Theoretical analysis," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 1999-2005.
52. Roy Setiawan, Luigi Pio Leonardo Cavaliere, KartikeyKoti, Gabriel Ayodeji Ogunmola, N. A. Jalil, M. Kalyan Chakravarthi, S. Suman Rajest, R. Regin, Sonia Singh, "The Artificial Intelligence and Inventory Effect on Banking Industrial Performance"Turkish Online Journal of Qualitative Inquiry (TOJQI). Volume 12, Issue 6, July, 2021: 8100-8125.
53. Roespinoedji, D., Juniati, S., Hasan, H., Jalil, N.A., Shamsudin, M.F., 2019. Experimenting the long-haul association between components of consuming renewable energy: ARDL method with special reference to Malaysia. Int. J. Energy Econ. Policy 9, 453–460.
54. D. K. Sharma, N. A. Jalil, V. K. Nassa, S. R. Vadyala, L. S. Senthamil and T. N, "Deep learning Applications to classify Cross-Topic Natural Language Texts Based on Their Argumentative Form," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 1580-1586.
55. D. K. Sharma, N. A. Jalil, R. Regin, S. S. Rajest, R. K. Tummala and T. N, "Predicting Network Congestion with Machine Learning," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 1574-1579.
56. N. Jayashri and K. Kalaiselvi," Cloud Cryptography for Cloud Data Analytics in IOT”, in Machine Learning Approach For Cloud Data Analytics In IOT, Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, and Sirisha Potluri, Eds. Scrivener publishing:(wiley publications), p. 119-142, 2021.
57. C. Virmani, A. Pillai, and D. Juneja. "Study and analysis of Social network Aggregator.", International Conference on Reliability Optimization and Information Technology (ICROIT), pp. 145-148. IEEE, 2014.
58. C. Virmani, A. Pillai, and D. Juneja., "Clustering in aggregated user profiles across multiple social networks." International Journal of Electrical and Computer Engineering, vol 7. No 6, pp, 3692-3699, 2017.
59. C. Virmani, A. Pillai, and D. Juneja., "Extracting information from social network using nlp." International Journal of Computational Intelligence Research , vol. 13, No.4, pp: 621-630, 2017.
60. T. Choudhary, C. Virmani, and D. Juneja. "Convergence of Blockchain and IoT: An Edge Over Technologies." Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications. Springer, Cham, pp: 299-316, 2020.
61. C. Virmani, D. Juneja , and A. Pillai, "Design of query processing system to retrieve information from social network using NLP.", KSII Transactions on Internet and Information Systems (TIIS), vol. 12, No.3, pp: 1168-1188, 2018.
62. C. Virmani, and A. Pillai. "Internet of Things and Cyber Physical Systems: An Insight." Recent Advances in Intelligent Systems and Smart Applications. Springer, Cham, pp: 379-401, 2021.
63. K. Kalaiselvi and N. Jayashri, “A Pragmatic Knowledge Engineering approach for integrating Knowledge Management with Ubiquitous Computing”, Journal of Advanced Research in Dynamical & Control Systems, vol. 13, p. 440-444, 2017.
64. Kaur Inderjeet, Sharma Kanchan, “Orthogonal Frequency Division Multiplexing: An Overview” published in arXiv preprint https://arxiv.org/abs/cs/0703090, March 2007.
65. Anuj Gupta, Ankit Gupta, Ayushi Goel, Inderjeet Kaur, “Automated Trashcan” published in International Conference on Innovative Computing and Communications 2019 pp 99-109. Also available in Lecture Notes in Networks and Systems, vol 55. Springer, Singapore.
66. Priyanka Sharma, Inderjeet Kaur, “Advanced Threshold Sensitive Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks: ATSEP”, published in 6h International Joint Conference on Advances in Engineering & Technology, Kerala. 26 Dec 2015, pp147-152.
67. Anjana Tiwari, Inderjeet Kaur, “A Review of Reactive Routing Protocol in Adhoc Networks” published in 2nd International Conference on Recent Development in Computational and Information Technology,SRM University,Delhi-NCR Campus, 26-27 Feb2016, pp56-61.
68. Binayak Parashar, Inderjeet Kaur, Anupama Sharma, Pratima Singh, Deepti Mishra, “Revolutionary Transformations in Twentieth Century: Making AI-Assisted Software Development” accepted as book chapter in book Computational Intelligence in Software Modeling published by DeGruyter, Germany.
69. Inderjeet Kaur, Anupama Sharma, Amita Agnihotri, Charu Agarwal, “Perspectives and Applications of Future Internet: Software Defined Networks”, accepted as book chapter in book Software Defined Networking: Architecture and Applications published by Wiley.
70. Inderjeet Kaur Sonam Gupta, “Operating Systems: A Concept Based Approach” IK International Publication, New Delhi.
71. Ramachandran. K. K., Karthick.K. K., Saravana Kumar.M., (2011). “Online Shopping in UK”. International Business and Economic research Journal (IBER) Volume 10 No.12
72. KeerthiPandian., Ramachandran. K. K., (2010). “Brand Awarness: Baby food products”. SCMS Journal of Indian Management, ISSN 0973-3167, Vol VII, Number II
73. Ramachandran. K. K., Karthick.K. K., (2010). “Retailing on the Internet: the new role of retailers in the virtual world”. Ideas, insights and innovation on management research: an international perspective - New Delhi: Macmillan Publ. India, ISBN 978-0-230-32889-1. pp. 218-228
74. Ramachandran. K. K., (2008). “A study on the changing trends of Retailing in India” (South East Asia Regional Conference. AIB, pp: 11-33
75. Ramachandran. K. K., (2006). “Brands battling for Events” and “Educational Branding”. Southeast Asia Regional Conference, Bangkok, Thailand.
76. Karthick.K. K., Ramachandran. K. K., (2006).” An Exclusive Study On International Trade Fair – Japan”. Vol 3 no1, pp: 208-217
77. Geno Peter, Anli Sherine, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Histogram Shifting based Quick Response Steganography method for Secure Communication” Wireless Communications and Mobile Computing. vol. 2022, 10 pages, 2022.
78. Geno Peter, Anli Sherine, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Design of Automated Deep Learning-based Fusion Model for Copy-Move Image Forgery Detection” Computational Intelligence and Neuroscience. vol. 2022, 9 pages, 2022.
79. Hariprasath Manoharan, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, K Venkatachalam, Acclimatization Of Nano Robots In Medical Applications Using Artificial Intelligence System With Data Transfer Approach” Wireless Communications And Mobile Computing. vol. 2022, 9 pages, 2022.
80. Ashok Kumar L, Ramya Kuppusamy, Yuvaraja Teekaraman, Indragandhi V, Arun Radhakrishnan, Design and Implementation of Automatic Water Spraying System for Solar Photovoltaic Module” Mathematical Problems In Engineering. vol. 2022, 9 pages, 2022.
81. K Veena, K Meena, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, Cybercrime Detection using C SVM and KNN Techniques” Wireless Communications and Mobile Computing. vol. 2022, 8 pages, 2022.
82. Yuvaraja Teekaraman, KA Ramesh Kumar, Ramya Kuppusamy, Amruth Ramesh Thelkar, SSNN Based Energy Management Strategy in Grid-Connected System for Load Scheduling and Load Sharing” Mathematical Problems In Engineering. vol. 2022, Article ID 2447299, 9 pages, 2022.
83. Obaid A.J. (2021) Wireless Sensor Network (WSN) Routing Optimization via the Implementation of Fuzzy Ant Colony (FACO) Algorithm: Towards Enhanced Energy Conservation. In: Kumar R., Mishra B.K., Pattnaik P.K. (eds) Next Generation of Internet of Things. Lecture Notes in Networks and Systems, vol 201. Springer, Singapore.
84. Abdulbaqi, A., Abdulhameed, A., Obaid, A. (2021). A secure ECG signal transmission for heart disease diagnosis. International Journal of Nonlinear Analysis and Applications, 12(2), 1353-1370.
85. R. Regin, A. J. Obaid, A. Alenezi, F. Arslan, A. K. Gupta And K. H. Kadhim, "Node Replacement Based Energy Optimization Using Enhanced Salp Swarm Algorithm (Es2a) in Wireless Sensor Networks," Journal of Engineering Science and Technology, vol. 16, no. 3, pp. 2487 - 2501, 2021.
86. M. Bharathidasan, V. Indragandhi, Ramya Kuppusamy, Yuvaraja Teekaraman, Shabana Urooj, Norah Alwadi, ‘Intelligent Fuzzy Based High Gain Non-Isolated Converter for DC Micro-Grids” CMC-Computers, Materials & Continua. Vol 71, No.2, 2022.
87. Hariprasath Manoharan, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, A Novel Optimal Robotized Parking System Using Advanced Wireless Sensor Network” Journal of Sensors. Volume 2021, Page 1-8, 2021.
88. Kamaleshwar T, Lakshminarayanan R, Yuvaraja Teekaraman, Ramya Kuppusamy, Arun Radhakrishnan, A Self-Adaptive framework for Rectification and Detection of Blackhole and Wormhole attacks in 6LoWPAN” Wireless Communications And Mobile Computing. Volume 2021, 2021. Page 1-8.
89. D. Jayalakshmi and D. Kem, “Social informatics: The socio-technical network system,” Guru Nanak Journal of Sociology, vol. 25, no. 2, pp. 1-10, 2004.
90. D. Kem, “New Media technologies and the emerging social-technical network,” European Journal of Physical Education and Sport Science, vol. 3, no. 12, pp. 653-661, 2017.
91. D. Kem, “New media and adolescents: Portrayals and perspectives,” International Journal of Current Advanced Research, vol. 07, no. 4, pp. 11344-11351, 2018.
92. D. Kem, “Victim identification, identification devices, lead information and communication technologies in teaching and learning through open and distance education system: A paradigm shift,” International Journal of Current Advanced Research, vol. 07, no. 1, pp. 9192-9198, 2018.
93. D. Kem, “The Role of information communication technology in open and distance learning,” The Research Journal Social Sciences, vol. 9, no. 11, pp. 55-59, 2018.
94. F Rabbi, S Bature, M Omari, K Jermsittiparsert, “ The Mediating Effect of University Role in Determining the Relationship between Entrepreneurial Orientation, Entrepreneurial Perception and New Venture Creation: A Thai Case Study”, International Journal of Innovation, Creativity and Change, Vol. 6 (10), 278-298, 2019.
95. Rabbi, F., & Almutairi, S. S. “Corporate tax avoidance practices of multinationals and country responses to improve quality of compliance”. International Journal for Quality Research, 15(1), 21-44, 2021.
96. Alharbi, Yousef; Rabbi, Fazle; Alqahtani, Rabee, “ Understanding University Student’s Intention To Use Quality Cloud Storage Services”, International Journal for Quality Research, Vol. 14 Issue 1, p313-324, 2020.
97. F Rabbi, “ A review of the recent trends in the use of machine learning in business’, International Journal of Artificial Intelligence and Machine Learning Vol.1 (1), 1-6, 2019.
98. F Rabbi, “ A review of the use of machine learning techniques by social media enterprises”, Journal of Contemporary Scientific Research, Vol.2 (4), pp. 1-14, 2018.
99. M Azeroual, Y Boujoudar, K Bhagat, L El Iysaouy, A Aljarbouh, et al.,, “ Fault location and detection techniques in power distribution systems with distributed generation: Kenitra City (Morocco) as a case study.” Electric Power Systems Research, Volume 209, August 2022, 108026.
100. Azeroual M, Boujoudar Y, Iysaouy LE, et al. Energy management and control system for microgrid based wind-PV-battery using multi-agent systems. Wind Engineering. February 2022. doi:10.1177/0309524X221075583
101. Fazle Rabbi , Nasir Abdul Jalil , S. Suman Rajest , R. Regin, “ An Approximation For Monitoring The Efficiency Of Cooperative Across Diverse Network Aspects”, Webology, Volume 17, No 2, 2020, Pages: 1234-1247
102. U Kumar, C Khatun, MS Islam, N Kao, F Rabbi, M Maniruzzaman, et al., “ Effect of Drum Pressure on Flow Accelerated Corrosion in Gas Fired Combined Cycle Power Plant: A Case Study and Literature Review”, Research Communication in Engineering Science & Technology, 2, 17-27, 2019.
103. F Rabbi, “ Recent Trends in the Use of Machine Learning Techniques in Business”, Asia Pacific Conference on Advances in Applied Science, Engineering and Technology (APCAASET)’, 2019.
104. Fazle Rabbi, “ A Review of the Recent Trends in the Use of Machine Learning in Business,” International Conference on Education, Business and Social Science (ICONFEBSS), 2019.
105. F Rabbi, “ Application of Big Data in Promoting Sustainable Solutions for Business-A Review”, Global Journal of Applied Sciences and Technology Vol. 3 (11), 2018
106. Alawawdeh, N. Alshtaiwi, M. (2020). Foreign Languages E-Learning: Challenges, Obstacles And Behaviours During Covid-19 Pandemic In Jordan. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17 (6), 11536-11554.
107. Al-Awawdeh, N. (2021). Translation Between Creativity and Reproducing An Equivalent Original Text. Psychology and Education Journal, 58 (1), 2559-2564.
108. Al-Awawdeh,N. (2022). The Function Of Ideology In Translation: A Case Study Of Selected Aljazeera News Headlines Translated Into Arabic. Ijaz Arabi Journal of Arabic Learning, 5 (1), 48-58.
109. Kalsoom, T., Aziz, F. & Al-Awawdeh, N. (2021). Foreign Language Learning Anxiety: A Systematic Literature Review. TESOL International Journal: English Language Education Publishing, 16 (4.3), 239-252.
110. M. Raja and G. G. Lakshmi Priya, “Using virtual reality and augmented reality with ICT tools for enhancing quality in the changing academic environment in COVID-19 pandemic: An empirical study,” in Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19, Cham: Springer International Publishing, 2022, pp. 467–482.
111. M. Raja and G. G. L. Priya, “An analysis of Virtual Reality usage through a descriptive research analysis on school students’ experiences: A study from India,” Int. j. early child. spec. educ., vol. 13, no. 2, pp. 990–1005, 2021.
112. M. Raja, K. Srinivasan, and S. Syed-Abdul, “Preoperative virtual reality based intelligent approach for minimizing patient anxiety levels,” in 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2019.
113. M. Raja and G. G. Lakshmi Priya, “Sentiment and emotions extraction on teaching–learning from home (TLFH) and impact of online academic activities in India,” Mater. Today, 2021.
114. M. Raja and G. G. L. Priya, “Conceptual origins, technological advancements, and impacts of using Virtual Reality technology in education,” Webology, vol. 18, no. 2, pp. 116–134, 2021.
115. T. Balakrishnan and E. Murugan, “Preparation and spectroscopic characterization of surface‐enriched (with active sites) polymer‐supported phase‐transfer catalysts and their efficiency in organic addition reactions: A kinetic study,” Journal of Polymer Science Part A: Polymer Chemistry, vol. 41, no.2, p. 347, 2003.
116. E. Murugan, and A. Siva, “Preparation of a novel soluble multi-site phase transfer catalyst and the kineticstudy for the C-alkylation of α-pinene,” Journal of Molecular Catalysis A: Chemical, vol. 235, no. 1-2, p. 220, 2005.
117. S. Santhoshkumar and E. Murugan, “Rationally designed SERS AgNPs/GO/g-CN nanohybrids to detect methyleneblue and Hg2+ ions in aqueous solution,” Applied Surface Science, vol. 553, p. 149544, 2021.
118. E. Murugan, S. Santhoshkumar, S. Govindaraju and M. Palanichamy, “Silver nanoparticles decorated g-C3N4: An efficient SERS substrate formonitoring catalytic reduction and selective Hg2+ ions detection,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, vol. 246, 119036, 2021.
119. E. Murugan, S. Santhosh Kumar, K. M. Reshna and S. Govindaraju, “Highly sensitive, stable g-CN decorated with AgNPs for SERS sensing of toluidine blue and catalytic reduction of crystal violet,” Journal of materials science, vol. 54, no.7, p. 5294, 2019.
120. E. Murugan, J. N. Jebaranjitham and A. Usha, “Synthesis of polymer-supported dendritic palladium nanoparticle catalysts forSuzuki coupling reaction,” Applied Nanoscience, vol. 2, no.3, p. 211, 2012.
121. E. Murugan, S. Arumugam and P. Panneerselvam, “New nanohybrids from poly (propylene imine) dendrimer stabilized silvernanoparticles on multiwalled carbon nanotubes for effective catalytic andantimicrobial applications,” International Journal of Polymeric Materials and Polymeric Biomaterials, vol. 65 no. 3, p. 111, 2016.
122. E. Murugan and I. Pakrudheen, “Efficient amphiphilic poly (propylene imine) dendrimer encapsulated rutheniumnanoparticles for sensing and catalysis applications,” Science of Advanced Materials, vol. 7, no. 5, p. 891, 2015.
123. E. Murugan, and G. Tamizharasu, “Synthesis and characterization of new soluble multisite phase transfercatalysts and their catalysis in free radical polymerization of methylmethacrylate aided by ultrasound-A kinetic study,” Journal of applied polymer science, vol. 125, no. 1, p. 263, 2012.
124. E. Murugan, R. Rangasamy, and I. Pakrudheen, “Efficient amphiphilic poly (propyleneimine) dendrimer stabilized goldnanoparticle catalysts for aqueous phase reduction of nitrobenzene,” Science of Advanced Materials, vol. 4, no. 11, p. 1103, 2012.
125. A. Ramesh, P. Tamizhdurai, S. Gopinath, K. Sureshkumar, E. Murugan and K Shanthi, “Facile synthesis of core-shell nanocomposites Au catalysts towards abatement of environmental pollutant Rhodamine B,” Heliyon, vol. 5, no. 1, p. e01005, 2019.
126. E. Murugan, J. N. Jebaranjitham, K. J. Raman, A. Mandal, D. Geethalakshmi, M. Dharmendira Kumar, and A. Saravanakumar, “Insoluble dendrimer-grafted poly (vinylimidazole) microbeads stabilized withmono/bimetallic nanoparticle catalysts for effective degradation of malachitegreen,” New Journal of Chemistry, vol. 41, no.19, p. 10860, 2017.
127. E. Murugan and I. Pakrudheen, New amphiphilic poly (quaternary ammonium) dendrimer catalyst for effectivereduction of citronellal, Applied Catalysis A: General, vol. 439, p. 142, 2012.
128. Werku Etafa, Getahun Fetensa, Reta Tsegaye, Bizuneh Wakuma, Sundararajan Vasantha Kumari, Getu Bayisa , et al , “Neonatal sepsis risk factorsin public hospitals in Wollega zones, Ethiopia: case control study ,” PAMJ - One Health,vol. 7, no. 2,p.1-13,2022.
129. S.Vasanthakumari , “Writing research proposal,” World Journal of Advanced Research and Reviews,vol. 10, no.01,p.184-190,2021.
130. S.Vasanthakumari ,“Soft skills and its application in work place,” World Journal of Advanced Research and Reviews,vol. 03, no.02,p.66–72,2019.
131. S.Vasanthakumari ,“ Mental Health Preparedness for School Children during COVID-19 Pandemic,” International Journal of Scientific Research,vol. 10, no.05,p.1-4,2021.
132. The linguistic structure in the Iraqi civil laws “Nasser, N. S.”, QZJ, vol.6, no.2, pp. 578-598, 2021.
133. The Effect of the Arabic Language on Legal Text Legislation, “Nasir, N. S.”, Journal of Al-Frahedis Arts, vol.12, no.42 II, pp. 84-101, 2020.
134. The connotations of the word (light) in the Holy Qur’an and books of faces and analogies, “Nasir, N. S.”, journal of the college of basic education, vol.21, no.92, pp.1-24, 2016.
135. The meaning of the word and its development in the proverb, “Nasir, N. S.”, QZJ, vol. 3, no. 1, pp. 822–845, Mar. 2018.
136. R. Taher, S. Hameed, and Q. Ali. "Study for Ionizing Radiation Safety Awareness among Patients in Erbil Hospitals" International Journal of Enhanced Research in Science Technology & Engineering vol.3, no.10, p. 41, 46, 2014.
137. S. Hameed, Q. Ali, and R. T. Essa, “Assessment of Ionizing Radiation Protection Awareness among Radiation Workers in Erbil Hospitals”. Journal of Medical and Pharmaceutical Sciences ، vol.1, no.3 , p. 25,19. 2017.
138. B. Al-Rawi, and, S. Aljanabi, “Modeling the Physical Properties of ZnO Nanoparticles with Selective Hydrogen Using DFT”. International Journal of Nanoscience, vol. 20, no. 1, p. 2150011-375, 2021.
139. B. Al-Rawi, S. Hameed, and M. Alsaadi, “Simulation of Electronic Structure and some Properties of CdTe Crystals Using DFT”. In Materials Science Forum, Trans Tech Publications Ltd Vol. 1021, p. 1-10, 2021
140. AL Kareem, S. Hameed, and S. Ali. “Evaluation of Noise Levels and Vibrations at Cement Factories That Represent a Condition Monitory for The Performance of Machines”, In Mesopotamia Environmental Journal ,Vol. 5, no. 3, P. 56, 63, 2020.
141. S. Khan et al., "HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network," in IEEE Access, vol. 10, pp. 7881-7894, 2022.
142. A. U. Haq, J. P. Li, S. Ahmad, S. Khan, M. A. Alshara, and R. M. Alotaibi, “Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare,” Sensors, vol. 21, no. 24, p. 8219, Dec. 2021, doi: 10.3390/s21248219.
143. Abbas Qaisar, Mostafa EA Ibrahim, Shakir Khan, and Abdul Rauf Baig, “Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System”, CMC-Computers Materials & Continua 71, no. 1, 1999-2017, 2022. https://www.techscience.com/cmc/v71n1/45469
144. Sultan Ahmad, Sudan Jha, Abubaker E. M. Eljialy and Shakir Khan, “A Systematic Review on e-Wastage Frameworks. International Journal of Advanced Computer Science and Applications, 12(12). http://dx.doi.org/10.14569/IJACSA.2021.0121287
145. Khan, S. “Data Visualization to Explore the Countries Dataset for Pattern Creation”, International Journal of Online and Biomedical Engineering (iJOE), 17(13), (Dec. 2021) , pp. 4–19.
146. Khan, S., “Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model”, International Journal of Online and Biomedical Engineering (iJOE), 17(08), pp. 154–167.
147. Shakir Khan (2021). Study Factors for Student Performance Applying Data Mining Regression Model Approach. International Journal of Computer Science and Network Security, Vol. 21 No. 2, pp. 188-192.
148. Khan S and Altayar M, “Industrial internet of things: Investigation of the applications, issues, and challenges”, International Journal of Advanced and Applied Sciences, 8(1): 104-113, 2021,
149. Shakir Khan and Mohammed Ali Alshara, “Adopting Open Source Software for Integrated Library System and Digital Library Automation" International Journal of Computer Science and Network Security, Vol. 20 No. 9, pp. 158-165, 2020.
150. Khan, S., & Alqahtani, S., “Big Data Application and its Impact on Education”, International Journal of Emerging Technologies in Learning (IJET), 15(17), pp. 36-46, 2020.
151. Aakanksha Singhal and D.K. Sharma, “Seven Divergence Measures by CDF of fitting in Exponential and Normal Distributions of COVID-19 Data”, Turkish Journal of Physiotherapy and Rehabilitation, Vol.32(3), pp. 1212 - 1222, 2021.
152. D.K. Sharma and Haldhar Sharma, “A Study of Trend Growth Rate of Confirmed cases, Death cases and Recovery cases in view of Covid-19 of Top Five States of India”, Solid State Technology, Vol.64(2), pp. 4526-4541, 2021.
153. D.K. Sharma, “Information Measure Computation and its Impact in MI COCO Dataset”, IEEE Conference Proceedings, 7th International Conference on Advanced Computing and Communication Systems (ICACCS), Vol.1, pp. 2011-2014, 2021.
154. Aakanksha Singhal and D.K. Sharma, “Keyword extraction using Renyi entropy: a statistical and domain independent method”, IEEE Conference Proceedings, 7th International Conference on Advanced Computing and Communication Systems (ICACCS), Vol.1, pp. 1970-1975, 2021.
155. Aakanksha Singhal and D.K. Sharma, “Generalization of F-Divergence Measures for Probability Distributions with Associated Utilities”, Solid State Technology, Vol.64(2), pp. 5525-5531, 2021.
156. Aakanksha Singhal and D.K. Sharma, “A Study of before and after Lockdown Situation of 10 Countries through Visualization of Data along With Entropy Analysis of Top Three Countries”, International Journal of Future Generation Communication and Networking, Vol.14(1), pp. 496-525, 2021.
157. Aakanksha Singhal and D.K. Sharma, “Generalized ‘Useful’ Rényi & Tsallis Information Measures, Some Discussions with Application to Rainfall Data", International Journal of Grid and Distributed Computing, Vol. 13(2), pp. 681-688, 2020.
158. Reetu Kumari and D. K. Sharma, “Generalized `Useful non-symmetric divergence measures and Inequalities", Journal of Mathematical Inequalities, Vol. 13(2), pp. 451-466, 2019.
159. D.S. Hooda and D.K. Sharma, “On Characterization of Joint and Conditional Exponential Survival Entropies", International Journal of Statistics and Reliability Engineering, Vol. 6(1), pp. 29-36, 2019.
160. Reetu Kumari and D. K. Sharma, “Generalized `Useful' AG and `Useful' JS-Divergence Measures and their Bounds", International Journal of Engineering, Science and Mathematics, Vol. 7 (1), pp. 441-450, 2018.
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162. D.K. Sharma and Sonali Saxena, “Generalized Coding Theorem with Different Source Coding Schemes”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 5(6), pp. 253 – 257, 2017.
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Published
2022-05-17
How to Cite
Bindhu M, Archana S, Divya S, & A Shobana. (2022). Machine Learning-Based Student Emotion Recognition Using CNN Algorithm. Central Asian Journal of Theoretical and Applied Science, 3(5), 330-351. https://doi.org/10.17605/OSF.IO/6P3YC
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Copyright (c) 2022 Bindhu M, Archana S, Divya S, A Shobana
This work is licensed under a Creative Commons Attribution 4.0 International License.
