1st Edition

Computational Intelligence and Mathematical Applications Proceedings of the International Conference on Computational Intelligence and Mathematical Applications

    334 Pages
    by CRC Press

    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.

    1. Gold Price Prediction in Stock Exchange using LSTM and Bi-LSTM Multivariate
    Deep Learning Approaches
    Renu Popli, Isha Kansal, Rajeev Kumar, Vikas Khullar, Preeti Sharma and Devendra Parsad
    2. Application of Deep Neural Networks in the Detection of Surface Defects of Magnetic
    Tiles through the Analysis of Digital Images
    Jyoti Verma, Devendra Parsad, Isha Kansal, Renu Popli, Vikas Khullar and Rajeev Kumar
    3. Design of Micro-Machined Frequency and Pattern Reconfigurable Antennas
    Ashish Kumar, Devendra Parsad, Amar Partap Singh Pharwaha, Mandeep Jit Singh,
    Gurmeet Singh and Manpreet Singh
    4. Performance Evaluation of Junction-based Routing Protocols for Vehicular Ad hoc Networks (VANETs)
    Ishita Seth, Kalpna Guleria and Surya Narayan Panda
    5. AI Invasion in Banking: Impact of Digital Banking Adoption on IN-Branch Banking from
    Banker’s Perspective
    Manju Bala and Sangeeta
    6. Random Forest Algorithm, Support Vector Machine for Regression Analysis
    Tushar Yadav, Nabha Varshey and Shanu khare
    7. Cloud Based Virtual Reality Training Platform for Occupational Safety
    Parishi Gupta, Kritika Gupta and Anup Lal Yadav
    8. Predicting Renewable Energy Demand using Machine Learning
    Anup Lal Yadav and Prabhneet Singh
    9. Volume Controller using Hand Gestures
    Anup Lal Yadav and Prabhneet Singh
    10. Blockchain and Data Security: Building Trust in a Digital World
    Dhananjay Batra, Shilpi Harnal, Paras Sachdeva, Rajeev Tiwari,
    Raghav Bali and Shuchi Upadhyay
    11. Fermatean Fuzzy Distance Measures with Pattern Recognition application
    Tamanna Sethi, Satish Kumarb, Megha Tanejaa and Rachna Khuranaa
    12. Intelligent Threat Mitigation in Cyber-Physical Systems
    Sandeep Singh Bindra and Alankrita Aggarwal
    13. Lane Detection Under Lousy Light Conditions
    Ritik Dwivedia and Kamal Kumar
    14. Data-Driven Precision Agriculture: Enhancing Crop Classification Accuracy and
    Agro-Environmental Analysis with Machine Learning
    Aaskaran Bishnoi, Gurwinder Singh and Ranjit Singh
    15. The Digital Dilemma—Exploring the Impact of Social Media on Mental Health
    Kumar Yashu, Akash Kumar, Vani Pandit, Kishan Raj, Anjali Gupta Somya and Sourabh Budhiraja
    16. IoT-Blockchain Integration for Optimizing the Performance of E-Health Systems:
    A Framework Design
    Deepak Singla, Sanjeev Kumar and Shipra Goel
    17. Issues Related to Accuracy and Performance during Classification Process in Sentiment
    Extraction from Image Description
    Puneet Sharma and Sanjay Kumar Malik
    18. Human Activity Recognition from Sensor Data using Machine Learning
    Prabneet Singh, Kshitij Kumar Pandey and Shubham Sharma
    19. Decoding Sentiments: A Comprehensive Review of Analytical Approaches and Associated Challenges
    Richa Grover and Yakshi
    20. A Novel Outlook for Auto Coloring of Greyscale Images Using Python and OpenCV
    Kulvinder Singh and Navjot Singh Talwandi
    21. Comparative Analysis of Machine Learning Algorithms used by Recommender Systems to
    Improve Marketing Strategies on E-commerce
    Vikas Sethi and Rajneesh Kumar
    22. Evolution of Recommender System: Conventional to Latest Techniques, Application Domains and
    Evaluation Metrices
    Vikas Sethi, Rajneesh Kumar, Suresh Chand Gupta, Sunny Kuhar and Sumit Kumar Rana
    23. Securing Cloud Data: A Comprehensive Analysis of Encryption Techniques and Recent
    Advancements 143
    Juvi Bharti and Sarpreet Singh
    24. A IoT Based Student Registration Process in Education Sector
    Gurpreet Singh, Mrinal Paliwal, Punit Soni and Rajwinder Kaur
    25. Unraveling the Nexus between Social Platforms and Psychological Well-Being
    Kumar Yashu, Akash Kumar, Vani Pandit, Kishan Raj, Anjali Gupta Somya and Sourabh Budhiraja
    26. Rotten Apple Detection System Based on Deep Learning using Convolution Neural Network
    Mrinal Paliwal, Gurpreet Singh, Punit Soni and Rajwinder Kaur
    27. Biometric System Integration in Public Health: Challenges and Solutions
    Tajinder Kumar, Manoj Arora, Vikram Verma, Sachin Lalar and Shashi Bhushan
    28. Brain Tissue Segmentation Using Improvised 3D CNN Model on MRI Images
    Saloni, Dhyanendra Jain, Anjani Gupta, Utkala Ravindran and Shruti Aggarwal
    29. Utilizing Transfer Learning Technique with Efficient NetV2 for Brain Tumor Classification
    Deependra Rastogi, Heena Khera, Rajeev Tiwari and Shantanu Bindewari
    30. Believer: The Spiritual App—A New Era of Belief in the Digital Age
    Megha, T. Mansi, K. Rajender, R. Kavita and S. Punit
    31. On Premises Vs Cloud Data Center: A Detailed Survey
    Rabina Bagga, Kamali Gupta and Rahul Singla
    32. Survey and Observation of Task Scheduling in Cloud
    Rabina Bagga and Kamali Gupta
    33. A Comprehensive Review of Soft Computing Approaches based on Different Applications
    Harminder Kaur and Neeraj Raheja
    34. Ocular Disease Detection in Retina Fundus Images Using Deep Learning: Methods, Datasets,
    and Performance Metrics
    Gurpreet Kaur and Amit Kumar Bindal
    35. Comparative Analysis of Classical and Quantum Machine Learning for Breast Cancer Classification
    Manaswini De, Arunima Jaiswal and Tanya Dixit
    36. Comparative Analysis of Machine Learning and Deep Learning Algorithms for the Detection of
    Hate Speech
    Arpana Jha, Arunima Jaiswal, Anshika Singh, Sampurnna Swain and Eshika Aggarwal
    37. Quantum Inspired Anomaly Detection for Industrial Machine Sensor Data
    Tanisha Kindo, Arunima Jaiswal, Kirti Singh and Vanshika
    38. Challenges and Opportunities in IoT-based Smart Farming: A Survey Report
    Isha Chopra, Amit Kumar Bindal and Zatin Gupta
    39. An Advanced Internet of Things-Based Health Monitoring System Assisted by Machine Learning
    Venkateswaran Radhakrishnan, Husna Tabassum and Zatin Gupta
    40. Artificial Intelligence and Machine Learning in Women’s Health: Unveiling PCOS with Image Analysis
    Rishit Aggarwal, Shweta Jain, Anju Bhandari Gandhi, Drishti Dhingra and S.C. Gupta
    41. Hybrid FUCOM-TOPSIS based Matching of Users’ Requirements with Life Insurance Policy Features
    Asha Rani, Kavita Taneja and Harmunish Taneja
    42. Technological Marvels: Pioneering PCOS Detection through the Lens of Machine Learning and
    Deep Learning
    Himanshi Jain, Shweta Jain, Anju Bhandari Gandhi, Rishit Aggarwal and S.C. Gupta
    43. Transforming Visits: Empowering Guests with QR-Based E-Ticketing
    Deepti Dhingra, Mayank Jindal, Rahul Tomer and Jatin Rathee
    44. Prioritizing the Barriers of EVs adaptation in India using Fuzzy TOPSIS Methodology
    Pardeep Kumar, Sunil Dhull, Anju Gandhi and Stuti Mehla
    45. Arduino Based Vehicle Accident Alert System Using GPS
    Shanu Khare and Navpreet Kaur Walia
    46. Comparative Analysis of Heart Failure Detection Using Quantum Enhanced Machine Learning
    Avni, Arunima Jaiswal, Amritaya Ray and Swati Gola
    47. Empirical Analysis of Depression Detection Using Bat and Firefly Algorithm
    Kritika Shrivastava, Arunima Jaiswal, Suresh Kumar and Nitin Sachdeva
    48. Comparative Analysis of Optimisation Techniques for Depression Detection
    Kritika Shrivastava, Arunima Jaiswal, Javed Miya and Nitin Sachdeva
    49. The Impact of Augmented Reality: Applications in Education
    Khushi Rao, Daniel Kr Brahma, Jagriti Das, Alongbar Wary and Gaurav Indra
    50. Revolutionizing Attendance Management: Deep Learning and HOG-Based Smart System for
    Educational Institutions
    Sunesh, Mamta, Priyanka and Aakanksha


    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.