About the Book
It is with great pleasure to present the proceedings of the International Conference on Computational Intelligence and Mathematical Applications (ICCIMA 2023), held on 21-22 December 2023, at Panipat Institute of Engineering and Technology, Panipat. This conference brought scholars, researchers, professionals, and intellectuals together from diverse fields to exchange ideas, share insights, and foster collaborations in Optimization, Computational Intelligence and Mathematical Applications. The ICCIMA 2023 served as a platform for contributors to demonstrate their latest findings, discuss emerging trends, and explore innovations to the problems that different disciplines are currently experiencing. The conference’s scope and depth of themes reflect our community’s rich diversity of interests and levels of competence.
Table of Contents:
1. Gold Price Prediction in Stock Exchange using LSTM and Bi-LSTM Multivariate
Deep Learning Approaches 2. Application of Deep Neural Networks in the Detection of Surface Defects of Magnetic Tiles through the Analysis of Digital Images 3. Design of Micro-Machined Frequency and Pattern Reconfigurable Antennas 4. Performance Evaluation of Junction-based Routing Protocols for Vehicular Ad hoc Networks (VANETs) 5. AI Invasion in Banking: Impact of Digital Banking Adoption on IN-Branch Banking from Banker’s Perspective 6. Random Forest Algorithm, Support Vector Machine for Regression Analysis 7. Cloud Based Virtual Reality Training Platform for Occupational Safety 8. Predicting Renewable Energy Demand using Machine Learning 9. Volume Controller using Hand Gestures 10. Blockchain and Data Security: Building Trust in a Digital World 11. Fermatean Fuzzy Distance Measures with Pattern Recognition application 12. Intelligent Threat Mitigation in Cyber-Physical Systems 13. Lane Detection Under Lousy Light Conditions 14. Data-Driven Precision Agriculture: Enhancing Crop Classification Accuracy and Agro-Environmental Analysis with Machine Learning 15. The Digital Dilemma—Exploring the Impact of Social Media on Mental Health 16. IoT-Blockchain Integration for Optimizing the Performance of E-Health Systems: A Framework Design 17. Issues Related to Accuracy and Performance during Classification Process in Sentiment Extraction from Image Description 18. Human Activity Recognition from Sensor Data using Machine Learning 19. Decoding Sentiments: A Comprehensive Review of Analytical Approaches and Associated Challenges 20. A Novel Outlook for Auto Coloring of Greyscale Images Using Python and OpenCV 21. Comparative Analysis of Machine Learning Algorithms used by Recommender Systems to Improve Marketing Strategies on E-commerce 22. Evolution of Recommender System: Conventional to Latest Techniques, Application Domains and Evaluation Metrices 23. Securing Cloud Data: A Comprehensive Analysis of Encryption Techniques and Recent Advancements 24. A IoT Based Student Registration Process in Education Sector 25. Unraveling the Nexus between Social Platforms and Psychological Well-Being 26. Rotten Apple Detection System Based on Deep Learning using Convolution Neural Network 27. Biometric System Integration in Public Health: Challenges and Solutions 28. Brain Tissue Segmentation Using Improvised 3D CNN Model on MRI Images 29. Utilizing Transfer Learning Technique with Efficient NetV2 for Brain Tumor Classification 30. Believer: The Spiritual App—A New Era of Belief in the Digital Age31. On Premises Vs Cloud Data Center: A Detailed Survey 32. Survey and Observation of Task Scheduling in Cloud 33. A Comprehensive Review of Soft Computing Approaches based on Different Applications 34. Ocular Disease Detection in Retina Fundus Images Using Deep Learning: Methods, Datasets, and Performance Metrics 35. Comparative Analysis of Classical and Quantum Machine Learning for Breast Cancer Classification 36. Comparative Analysis of Machine Learning and Deep Learning Algorithms for the Detection of Hate Speech 37. Quantum Inspired Anomaly Detection for Industrial Machine Sensor Data 38. Challenges and Opportunities in IoT-based Smart Farming: A Survey Report 39. An Advanced Internet of Things-Based Health Monitoring System Assisted by Machine Learning 40. Artificial Intelligence and Machine Learning in Women’s Health: Unveiling PCOS with Image Analysis 41. Hybrid FUCOM-TOPSIS based Matching of Users’ Requirements with Life Insurance Policy Features 42. Technological Marvels: Pioneering PCOS Detection through the Lens of Machine Learning and Deep Learning 43. Transforming Visits: Empowering Guests with QR-Based E-Ticketing 44. Prioritizing the Barriers of EVs adaptation in India using Fuzzy TOPSIS Methodology 45. Arduino Based Vehicle Accident Alert System Using GPS 46. Comparative Analysis of Heart Failure Detection Using Quantum Enhanced Machine Learning 47. Empirical Analysis of Depression Detection Using Bat and Firefly Algorithm 48. Comparative Analysis of Optimisation Techniques for Depression Detection 49. The Impact of Augmented Reality: Applications in Education 50. Revolutionizing Attendance Management: Deep Learning and HOG-Based Smart System for Educational Institutions
About the Author :
Dr. Devendra Prasad is currently working as professor and Head in the Department of CSE(AIML) with Panipat Institute of Engineering and Technology (PIET), Samalkha Panipat, Haryana. He received the B. Tech, M.Tech, and a Ph.D. degree in CSE from Kumaon University Nainital, Kurukshetra University Kurukshetra, Haryana and MM(DU), Mullana, Ambala, Haryana respectively. Dr. Prasad has supervised 8 PhD Thesis and 28 MTech Thesis. He has published more than 60 research papers in different reputed international journals and conferences. He has published 22 National/International Design/Utility patents out of which 5 patents are granted. Dr. Prasad has written one Book and 4 Book Chapters with International Publishers. He has received Best paper Award from ICNGC2S-10), NITTTR Chandigarh, India. Dr. Prasad is a Member of IEEE, ACM, ACSE, and CSTA. His research interests are Blockchain Networks, Wireless Sensor Networks, Internet of Things (IoT) and Machine Learning.
Dr. S. C. Gupta is working as Head of CSE departments in PIET. During his 25 years of journey as teacher, he excelled in academics along with successful execution of administrative responsibilities, holding key positions at various prestigious institutes. As an active researcher he promoted young and fresh minds to envoke them in research. He guided numbers of M. Tech/ M.phil/MCA research scholars. He has published more than 50 national; international research articles/papers. He organized and cordinated various national/international events such as conferences, seminars, workshops, STCs in collaboration with MHRD Govt. of India. He is working as Nodal Coordinator for Virtual Labs programs of IIT, Delhi in PIET. He Contributed in B. Tech./M. Tech. curriculum design/revision program of KUK. His area of interest are software reusability, component based software development and reenginnering. He is an active member of various professional societies.
Dr. Anju Bhandari Gandhi has completed her B.Tech, M.Tech and Ph.D in Computer Science and Engineering and is currently working as a Professor Incharge-R&D at Panipat Institute of Engineering and Technology, Panipat, Haryana, India. She has 18 years of experience and published 65 research papers in reputed and Scopus indexed journals. She worked as convener of number of technical events like international conferences, seminars, FDPs, workshops and trainings. She has received number of awards and grants for research and innovation, establishing AICTE IDEA Lab. Her research area includes Artificial Intelligence, Machine learning and Data Science.
Dr. Stuti Mehla is working as an associate Professor in CSE departments in PIET. She has completed her B.tech, M.tech and P.hd degree in CSE from Kurukshetra university and Maharishi Markandeshwar University Mullana respectively in 2010,2012 and 2022. She is GATE Qualified and has 10 years of experience and published more than 30 research articles in reputed international journals and presented research papers in national and international conference. She is active member of IEEE and ACM. Her research interest is related to artificial intelligence, machine learning,data science and recommendation system.
Dr. Upasana Lakhina is working as an Assistant Professor in Panipat Institute of Engineering and Technology. She has achieved her B.tech and M.tech from kurukshetra university, Kurukshetra in 2014 and 2016 (Gold Medallist) and her Ph.D from University Teknologi PETRONAS, Malaysia ( QS World Ranking 304). She is GATE qualified, and NET exempted and has done research collaboration with different researchers from Malaysia, France, Denmark and Vietnam. She is an active IEEE member and organized various conference and has a teaching experience of 7 years. She has also served as Judge in international Robotic Competition and also received best reviewer award. She started her research journey in 2015 as a scholar and published more than 20 articles in Journals and conferences. Her research area includes machine learning, optimization, microgrids, renewable energy and cloud computing.
