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.
It is with great pleasure to present the proceedings of the International Conference on Computational Intelligence and Mathematical Applications (ICCIMA 2023)
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 Bankers
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
DilemmaExploring 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
AppA 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 Womens 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
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.
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