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Academic Session Report
2021-22 View
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2022-23 CSE Project Details 2022-23 View
2021-22 CSE Project Details 2021-22 View
2020-21 CSE Project Details 2020-21 View
2019-20 CSE Project Details 2019-20 View
2018-19 CSE Project Details 2018-19 View

Journal Papers

  • Rani, G., Dhaka, V. S., Pandey, U., & Tiwari, P. K. (2021). Intelligent and Adaptive Web Page Recommender System. International Journal of Web Services Research (IJWSR), 18(4), 27-50.(SCI Indexed)
  • Rani, G., Pandey, U., Wagde, A. A., & Dhaka, V. S. (2022). A deep reinforcement learning technique for bug detection in video games. International Journal of Information Technology, 1-13. (Scopus Indexed)
  • Singh, A. K., Kumar, S., Bhushan, S., Kumar, P., & Vashishtha, A. (2021). A Proportional Sentiment Analysis of MOOCs Course Reviews Using Supervised Learning Algorithms. Ingénierie des Systèmes d'Information, 26(5).
  • Kumar, A., Jain, S., & Kumar, M. (2023). Face and gait biometrics authentication system based on simplified deep neural networks. International Journal of Information Technology, 15(2), 1005-1014.(Scopus Indexed)
  • Gupta, Y. K., & Saxena, K. (2022). Numerical Simulation and Design of Hybrid Underwater Image Restoration and Enhancement with Deep Learning. International Journal of Intelligent Systems and Applications in Engineering, 10(1s), 95-101.(Scopus Indexed)
  • Gupta, Y. K., & Saxena, K. An Adaptive Technique for Underwater Image Enhancement with CNN and Ensemble Classifier.(Scopus Indexed)

Book Chapters

  • Pandey, U., Kushwaha, A.(2022). Role of Artificial Intelligence in Medicine and Health Care: A Review. Artificial Intelligence and Natural Algorithms. (Scopus Indexed)
  • Pandey, U., Shakya, T., Rajput, M., Singh, R., & Mangal, T. (2023). Review and Analysis of Disease Diagnostic Models Using AI and ML. Advancements in Bio-Medical Image Processing and Authentication in Telemedicine, 35-53.(Scopus Indexed)
  • Gupta, Y. K., and K. . Saxena.(2022). Underwater Image Restoration and Enhancement Based on Machine and Deep Learning Algorithms. InCommunications in Computer and Information Science,2022,1673 pp 279-290 followed by proceeding of first international conference on artificial intelligence and data science.(Scopus Indexed)
  • Gupta, Y. K., and K. . Saxena.(2022). Artificial Intelligence based Techniques for Underwater Image Restoration and Enhancement. In Lecture Notes in Rising Threats in Expert Applications and Solutions, 2022, 434, pp. 549–557followed by proceeding of Proceedings of FICR-TEAS 2022.(Scopus Indexed)

Conference Papers

  • Pandey, U., Rani, G., & Dhaka, V. S. (2021, August). Applying GA-SVM for Optimizing Statistical and Semantic Features in Document Classification. In Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence (pp. 253-260).
  • Pandey, U., Rajput, M., & Singh, R. (2023, January). Role of Machine Learning in Resource Usages and Security Challenges for Cloud Computing: Survey. In 2023 International Conference on Artificial Intelligence and Smart Communication (AISC) (pp. 525-530). IEEE.
  • Pandey, U., et al.(2023 January).Hospital Resource Management – A Survey.In 2023 International Conference on Artificial Inteligence and Smart Communication. IEEE
  • S Kumar, AK Singh, VK Singh A Cross CNN-LSTM Model for Sarcasm Identification in Sentiment Analysis International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023) Scopus index conference, 2023 Galgotias University, Greater Noida
  • Kumar, S., Singh, A. K., Bhushan, S., Kumar, P., & Vashishtha, A. (2022). A Comparative Study on Sentiment Analysis of Uber and Ola Customer Reviews Based on Machine Learning Approaches. In Recent Trends in Communication and Intelligent Systems: Proceedings of ICRTCIS 2021 (pp. 55-63). Singapore: Springer Nature Singapore.
  • Kumar, S., Singh, A. K., Bhushan, S., & Vashishtha, A. (2022, September). Polarities Inconsistency of MOOC Courses Reviews Based on Users and Sentiment Analysis Methods. In Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication: MARC 2021 (pp. 361-369). Singapore: Springer Nature Singapore.
  • Kumar, S., Singh, A. K., Bhushan (2020). Energy efficient Data Transmission model.In International Conference on Information management and Machine Intelligence.
  • Kumar, S., Kumar, P. (2022). Mental Health Monitoring Using Machine Learning: A Survey.In International Conference on Foundations and Applications of Computer Science & Engineering Multidisciplinary.


  • An Artificial Intelligence & Machine Learning Based System for Railway Asset Management, Application No: 202211014942, Publication Date: 1/04/2022.
  • IoT-Based Cold Storage Management System, Application No: 202211012013, Publication Date: 05th March 2022.
  • Deaf And Blind Communication System, Application No: 202211012991, Publication Date:10th March 2022
  • Machine learning and Deep Learning Architecture for Intrusion Detection with feature Selection, Application No: 202211057682, Publication Date: 8 th Oct 2022.
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