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

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

Biography

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.