1st Edition
Progressive Computational Intelligence, Information Technology, and Networking Volume 2
1. Optimizing Happiness: A Data-Driven Framework Using Psychometric Validation and Computational Modelling
Dr. Vandana Kalra, Dr. Supreet Kaur Sahi, Dr. Manmeet Kaur, and Advay Nagpal
2. Cutting-Edge Techniques and Latest Trends in Object Detection
Sameeksha Khare, Anshu Singla
3. Crowdfunding Application In Health Sector Using Blockchain for Transparency
Shivam Nayak, Saraswati Kumari, Mr. Durgesh Kumar
4. Recent Advances in Multimodal Representation Learning: A Survey
Dr. Indu Kashyap and Neha Singla
5. Impact of IoT in Smart Tourism Solutions Based on Medical Applications
Diya Sharma, Pallavi Kumari, Ayushi Bindal, Savita Sindhu
6. Advanced Techniques and Innovations in Deepfake Detection:A Comprehensive Research Perspective
Priya Sharma, Diya Ahuja, Shobha Tyagi, Neha Tyagi
7. Early prediction of heart diseases using generative artificial intelligence and machine learning
Suhani Gupta, Yashika Vashist, Shobha Tyagi, Neha Tyagi
8. Easyshare: A Modern Approach to Secure and Efficient File Sharing Using React, Next.js, and Firebase
Shraddha Srivastava, Santosh Mishra, Rati Goel, Sheradha Jauhari, Shuchi Smita
9. Evaluation of Recommendations Utilizing Multi-Context and Multi-Criteria Decision Systems
Bhumika Pahwa, Indu Kashyap, Rachna Behl
10. AI-Based Real-Time Guidance and Feedback System
Deepa Bura, Aditya Tripathi, Amrit Mangla, Saurav Kumar, Siddhi Vats
11. Mechanization of DNA Sequencing: Accelerating Progress in the human genome Project
Chahak Khattar, Nitasha Soni, Ginni Sehgal, Meghna Luthra
12. Comparative Analysis of ML for Government Initiatives
Narender Pal, Dr. Kamlesh Sharma
13. A Review of Machine Learning Algorithms in Sports Performance Analysis
Ms. Neha Batra, Dr. Neha Garg, Dr. Kapil Gupta, Dr. Deepti Thakral, Dr. Sanjay Singh, Mr. Boddo Sai Kiran
14. Modern Application & Future Direction Treatment of Cancer and AIDS
Saruchi, Tejinder Kaur, Gulbir Singh, Varalakshmi Dandu, Parveen Kumar, Siddhartha Sharma
15. Evaluate and validate the performance of the proposed prediction model using established depression assessment scales
Soni, Tejinder Kaur
16. Leveraging the Mechanism of Internet of Things (IoT) for Disaster Management: Present Trends and Future Prospects
Nishant Goel, Lakshay Goyal, Harshit Dheer, Akshit Panchal, Vansh Pahuja, Yaman Hooda
17. Venture Vista: Your Pathway to Extraordinary Journeys
Dr. Srishty Jindal, Ishaan Khowal, Himanshu Singhla, Sarthak Monga
18. Internet of Things (IoT) in smart tourism: a literature
Kunal Dagar, Hitesh Yadav, Saksham Sharma, Dr. Savita
19. Provisioning Security Measures to handle Vulnerable Cloud using Machine Learning Models
Arnav Sharma, Yatin Gogia, Vaibhav Pundir, Vaibhav Gupta
20. Plant Leaf Disease Prediction Using a Hybrid Deep Learning Model: An Optimized Approach for Early Detection and Classification
Suman Punia, Saneh Lata Yadav, Tanvi Chawla, Rahul Singh and Harsh Vardhan
21. A Comprehensive Smart Health Monitoring System to tracks patients’ health data efficiently
Neha Chaudhary, Pronika Chawla, Abhay Kaushik, Mohit Chawla, Ritesh, Aman Dangi
22. Implementation Of Different Battery In Electric Vehicle
Pronika Chawla, Swasti Ranjan Panda,Dipanshu, Abhishek Yadav, Sumit Pratap singh, Adesh Singh
23. Developing A Machine Learning Algorithm to Detect Biasness in Judicial Decisions
Bhoomika GoyaL, Aniket Singh,Khushi Budhiraja, Ajay Kumar, Dr. Poonam Nandal
24. Deep Learning for Apple Leaf Disease Classification: A CNN-Based Approach to Enhance Agricultural Productivity
Versha, Pankaj Aggarwal, Deepika Sharma
25. Analyzing Software Defect Prediction through Machine Learning: A Comprehensive Survey
Yashendra Rajput, Vasudha Arora, Gaurav Raj
26. Neurodegenerative Disease Prediction Using Machine Learning: Parkinson
Lakshita Joshi, B. Thrisha, Mahenoor Ashraf, Iram Fatima
27. Towards Non-Invasive and Explainable Parkinson’s Disease Stage Detection: A Succinct Analysis
Gurpreet Kaur, Chander Prabha
28. Blended Learning Insights: Machine Learning-Based Evaluation of E-Learning Effectiveness in Diverse Educational Contexts
Madhavi Tripathi, Kamlesh Sharma
29. AI for Cuffless Blood Pressure Monitoring: A Survey of Methods, Challenges, and Future Perspectives
Dr. Ravindra Kumar Chahar, Hani Singh Rawat, Vedant Patil, Hardik Anand
30. Efficient Gun and Knife Detection Utilizing the YOLOv5 Model
Swetta Kukreja, Deepa Parasar, Saad Shaikh, Rahul Birardar, Bhanu Priya, Scott Reilly
31. Methodical Evaluation of Speech to Sign Language Interpretation Technologies
Himanshu Singh, Mridul Hemrajani, Suhani Mehta, Shree Harsh Attri
32. Federated Distillation-Based Spatio-Temporal Framework for Efficient Traffic Prediction
Gaganbir Kaur, Surender K Grewal, and Aarti Jain
33. Investigating Racial Inequity In Deep Learning Models For Face Recognition
Bhupender Kumar, Dr. Tanvi
34. Conservation and optimized utilization of water in households: A Case Study
Monika Goyal, Pooja Ahuja, Gunjan Chandwani
35. Intelligent Malware Detection System
Adarsh Banyal, Aryan Kumiyal, Ajay Pratap Singh, Shelja Sharma
36. Semantic Clustering of Verbal Fluency Tasks for Early Schizophrenia Detection: A Preliminary Study
Yash Jain, Alka Jalan, Vaibhav Singh, Marisha, Manjari Gupta
37. Quantum Attacks: Emerging Threats and Advanced Countermeasures in Cybersecurity
Supreet Kaur Sahi, Vandana Kalra, Sahaj Khurana
38. Hybrid LLM and Autoencoder-LSTM Model for Assistive Communication in Speech-Disabled Individuals
Vandana Kalra, Supreet Kaur Sahi, Harnoor Kaur Gulati
39. Design and Implementation of a Serverless Notification System for the University
Ragini Kumari, Vanshit Sharma, Aditya Singh, Arpit Singh
40. Using a Variety of Machine Learning Techniques to Identify Cardiovascular Disease Early
Anshu Batham, Rohitashwa Pandey, Abhishek Katiyar, Divya Joshi, Bharat Tripathi
41. EMOTION ASPECT FUSION FOR CONTEXT AWARE E-COMMERCE RECOMMENDATION
Tushant Mendiratta, Naman Bhatia, Kartik Mehra, Dr.Srishty Jindal
42. AI-Based Leukaemia Test Code Identification: Challenges, Solutions and Future Directions
Shaik Dada Mastan, Shree Harsh Attri, Krishna Batri
43. Smart Glove: A Model to Detect And Measure Pesticide Residues in Fruits and Vegetables
Ayush Raj, Ginni Arora, Nishant Raj, Shlok Mathur, Mohit Sharma,Nitasha Soni
44. Improving Face Recognition Performance on Low-Resolution Images Using Interpolation and Feature Extraction Techniques
Prachi Singh, Saurabh Mandloi, Neeraj Dwivedi
45. Cattle Classification System Using Deep Learning
Yuvraj Sharma, Shivam Shaunik, Meghna Luthra
46. Frustration Detection on Code Related Platforms Using Machine Learning Models Trained on the GoEmotions Dataset
Harpreet Kaur, Kumar Jitin, Gaurav Mehta, Uttam Kumar Giri, Alok Kumar Agrawal, Jayashree Mohanty
47. Machine Learning Approaches for Early Prediction of Depression and Mental Health Disorders
Rishav Ranjan, Anushka, Akash Gupta, Shourya Karn, Dr. Kamlesh Sharma
48. LUNG CANCER DETECTION USING CONVOLUTIONAL NUERAL NETWORKS
Madhan Veeramani, Sameer Yaseen , Madhu Cherukula, Uma S., Kavitha G., Durai Selvaraj
49. Benchmarking MedSAM Against CNN and U-Net for Organ-Wise Medical Image Segmentation
Dr. R. Girija, Avula Venkata Naga Venu , Nagaruru Rohankumar Reddy, Sai Chakri , Srihari
50. Malicious URL Detection Using Machine Learning
Kaushal Kumar, Harshita, Abhinav Hazra, Manav Bhatt, Haidar Abbas Zaidi
51. Security Enhancement in Audio Steganography: A Detailed Review
Ajit Singh, Mansi
52. A Review of Preprocessing Strategies in ECG-based Arrhythmia Prediction Using Machine Learning and Deep Learning
Bhupendra Kumar Dewangan, Vinayak Srivastava, Aaditya Agraval, Marisha, Manjari Gupta
53. Machine Learning Approaches for Predicting Electric Vehicle Charging Behavior: A Comprehensive Review
Jyoti1, Rainu Nandal, Meenakshi, Kamaldeep Joshi, Vipin Kumar, Jyoti
54. Multilingual Text-to-Speech System for Programming Languages Using RAG and Neural Speech Synthesis
Aditya Nair, Isha Deo, Karan Sood and C. Sherin Shibia
55. Explainable Federated Deep Learning with Stacked Ensemble of Dual Pretrained Models and Visual Explanations on Enhanced Images for Privacy-Conscious Skin Lesion Diagnosis in Real-World Clinical Practice
Dr. K Sridhar, Dr. Balajee Maram
56. Cross-Institutional Generalization of Skin Cancer Detection Using Pretrained CNN Feature Extraction with Machine Learning and Explainable AI Frameworks
Dr. K Sridhar, Dr. Balajee Maram
57. IoT-based Smart Dustbin for Effective Waste Management
Manvender Singh, Mayank Bansal, Gaurav Kurai, Arman Khan, Anurag Mishra, Dr. Meeta Singh
58. AI Driven Emergency Detection using ECG and Voice
Jananee V, Snekha R,Sneha Sajeevan
59. Identifying High-Risk Subgroups for Depression through Lifestyle and Occupational Factors using Logistic Regression
Megha Agarwal, Vinodini Katiyar, Vandana Patel, Bineet Kumar Gupta,Mritunjay Rai, Nidhi Tiwari
60. ConselDesk: A Web-Based Legal Assistant Platform for Automated Legal Query Resolution
Pronika Chawla,Sankit Singhal,Sushil Gupta, Aayush Kukreja,Rahul Kumar Mandal
61. PEDMO: A Refined Model For The Emotion Detection Via Deep Learning
Shivali Pundir and Sumit Chaudhary
62. GRID SHIFT: An AI-Driven Smart Solar Management and Optimization Framework
Sumit Gupta, Agrim Gupta, Shelja Sharma, Gauri Shankar Mishra
63. Discriminative Approaches for Age Invariant Face Recognition: A Review
Rajesh Kumar Tripathi, Subhash Chand Agrawal,
64. Automated Multi-Phenomena Tuberculosis Detection in Chest Radiographs Using a Robust CNN Ensemble with Grad-CAM for Enhanced Visual Explainability and Interpretability
Dr. B. Gopal Samy, Ms. Sonam Sahu, Mr. Venkata Ramana Banka, Mr. Purav Anand
65. EnrolStack: A Stacking Ensemble with Feature Selection and UI/UX Simulation
Simple Sharma,Supriya P. Panda ,Seema Verma
66. Smart Interview Simulator: A Custom-made and Collaborative Approach to Upgrade Job Readiness
Tanish Tomar, Vishaka Malik, Tushar, Dr. Meeta Singh
67. Improving Face Recognition Performance on Low-Resolution Images Using Interpolation and Feature Extraction Techniques
Prachi Singh, Saurabh Mandloi, Neeraj Dwivedi
68. Survey of File Storage on Cloud with Auto-Scaling and Client Side Encryption
Pronika Chawla,Harshit Bawa,Pratyush Singhal,Arinjay Gaur,Manthan S.Prakash,Dhruv Dabral
69. Unsupervised dehazing methods: A Review
Subhash Chand Agrawal, Rajesh Kumar Tripathi
70. AI-POWERED MENTAL HEALTH ASSESSMENT USING NLP AND MACHINE LEARNING
Kaushal Kumar, Edubilli Sai Chakri, Bheemavarapu Srihari, Arigela Venkata Madhu
71. A Review on CNN based Unsupervised Dehazing Methods
Subhash Chand Agrawal, Rajesh Kumar Tripathi,
72. Flutter-Controlled Robotic Arm for E-Commerce Logistics Automation with Integrated Vision and PID Controller
C Shyamala Kumari, N. Malarvizhi, Bojja Gagan Raj, Varada Sandeep
73. Techniques for Fake News Detection: A Theoretical Synthesis and Research Agenda
Manisha Rani, Poonam Chahal, Charu Virmani
74. Beyond the Naked Eye: Leveraging AI and Image Recognition for Early Rice Disease Identification
Anup Singh Kushwaha, Dr. Prinima Gupta, Dr. Mahboob alam
75. Secure File Transfer System with end-to-end Encryption
Pronika Chawla,Shobha Tyagi, Atharv Dixit, Jit Roy Joty, Nanda kishore
76. Optimizing Energy-Efficient Cloud Computing for Sustainable Development
Tanvi Gupta, Supriya P. Panda, Neeru Singh
77. Deep Learning Approaches for Age Invariant Face Recognition: A Review
Rajesh Kumar Tripathi, Subhash Chand Agrawal
78. Emotionally Intelligent Chatbots: Leveraging AI for Predictive and Context-Aware Interactions
Ramesh Mehra, Prince Kumar, Ayush Singh, Priyanka Sharma
79. Smart Control of Utilities: An IoT-Based Adaptive Multi-Utility Management System
R. Sivasankari, Alan Bevis JP, Basheerah Batool M, Dr.N.Kanimozhi , Dr. S. Tamilselvi, Dr.R.Usharani
80. Patient Monitoring using Hand Gestures and Activity Recognition with Deep Learning
M.Vetripriya, R. Sivasankari, S.Amsavalli
B.S.Abdur Rahman Crescent , H.Kamarunnisha
B.S.Abdur Rahman Crescent , M.Vetri Selvan, S.Tamilselvi
81. Machine Learning- Driven Efficient Retrieval of Global Energy Data for Consumption Prediction
Mamta Arora, Priya Garg, Surya Sharma
82. Optimized EfficientNet for Robust Thoracic Disease Classification under Class Imbalance
Kesanakurthi Likhitha Devi, Molugu Vishruth, Lokaiahgari Sai Bhargav, Neelu Chaudhary
83. AI-Driven Approaches for Lung Cancer Detection and Classification: A Comprehensive Review with Prospects for YOLOv8-based Real-Time Detection
Prince Kumar Yadav, Mohammad Ashif Iqbal, Wasiullah Aman, Javed Ahmad
84. The Integration of AI-Powered Tools in Sub-Junior Badminton Training-
A Comprehensive Review
K.Deepa D.Devasena
85. Assistive Technologies for Visually Impaired Using Arduino: A Conceptual Study
Shashank Singh, Niharika Thakur, Gaurvi Khatri, Meenakshi Gupta, Gianender Kajal, Sandeep Gupta
86. Real Time Hand Gesture Recognition to Aid Mute Individuals
Mamta Arora, Sumit Yadav, Kajal Puniya
87. Air Quality Index (AQI)-Aware Navigation: A State-of-the-Art on Pollution-Conscious Route Optimization
Shilpi Gupta, N.Deep, Kritika Garg, Anubhav Mishra
88. Analyzing Factors of Artificial Intelligence Adoption for Sustainable Education in Higher Education
Simran Kaur, Nidhi Tandon, Priyanka Dagar
89. A Novel Behavioural Fraud Ensemble Model for Click Fraud Detection in Online Advertising
Piyush Gupta, Komal Kumar Bhatia, Neelam Duhan
90. Smart Seat Belt Detection: A New Approach for Leveraging Image Recognition for Enhanced Safety
Harshil Aron, Meenakshi Gupta, Lovanya
91. Human Scream Detection and Analysis for Controlling Crime Rate
Neha Gupta, Meenakshi Gupta, Niharika Thakur, Sarita Yadav, Nitin Pandey, Harsh Malik
92. Toxic Comment Classification using Machine
Learning
Dr. Neha Garg, Sneha Vishwakarma, Harshita Khanijo, Tulsi Bisht, Sneha Saini
93. Next-Gen Waste Management With Ecobinova Using AI, IoT And Sustainable Innovation
Dr. W.Aisha Banu, Dr.N.Sabiyath Fatima, R.Sivasankari,C.K.Rathna, S.Moheshwar, D.Magdalina Pearlin
94. Review on Anomaly Detection in Autonomous Electric Vehicles Using Artificial Intelligence Technique
Richa Adlakha, Kavita Singh, Ashish Grover
95. Transformative Role of Artificial Intelligence (AI) In Shaping Consumer Buying Behaviour
Dr. Nidhi Tandon, Dr. Simran Kaur, Dr. Arun Vashista, Ms. Bhawna
96. Revolutionizing Agriculture by Integrating AI, block chain, IOT and cloud for precision & Sustainable farming
Arya Singh, Arpita Singh, Getaansha Dheer, Nirman Kapoor, Anupama Rajput
97. AI-Powered Plant Disease Detection and smart Treatment Recommendations through a Web Application
Ujjval Kumar, Rishi Raj Gautam, Er. Avneet Kaur, Priyanshu Tak, Rahul Prakash
98. Integrating CNN and LSTM for Natural Language Descriptions of Images
Utkarsh Prakhar, Varun Shukla, Shreyansh Shukla, Er. B.K Mishra
99. Analysis of Energy Efficient Schemes for Smart Agriculture IoT Network
Bindu Rani, Anju Sangwan
100. A Study on YOLOv11-Based Traffic Monitoring Systems
Yashika Chauhan, Neha Kaushish, Brijesh Kumar
101. A proposed framework to develop a hybrid secure encrypted data cloud model using O-SHAECC with data deduplication architecture in cloud environment
Bharti Duhan,Anju Sangwan
102.AI Integration in Learning Management System
Aryaman, Pushp Prakash Tandon, Gaurav Joshi, Snehaal Mukherjee, Ramesh Chandra Sahoo
Biography
Poonam Nandal is a professor at Department of Computer Science & Engineering, School of Engineering & Technology, Manav Rachna International Institute of Research and Studies (Deemed to be University), she is an esteemed academic and researcher with an impressive career spanning over 18 years. Her academic journey reached its pinnacle with a Ph.D. in Computer Science & Engineering from YMCA University of Science & Technology in 2017. Complementing this, she holds a master’s degree in computer engineering from Maharishi Dayanand University, Rohtak, showcasing a comprehensive educational background. Dr. Nandal scholarly impact is evidenced by her substantial contributions, including six patents and more than 50 research papers published in esteemed conferences and peer-reviewed journals. These publications are indexed in renowned databases such as Scopus, WoS, EBSCO, and UGC Care, underscoring her dedication to advancing knowledge in her field. Beyond her research, she actively participates in advisory and editorial capacities for respected peer-reviewed journals.
Tapas Kumar is an accomplished academic and researcher with a passion for advancing the field of computer science and engineering. His journey began with a Ph.D. from the Birla Institute of Technology, Mesra, where he focused on the innovative application of Cellular Automata in Image Processing. He holds a master’s degree in Computer Science from Guru Jambeshwar University and a B.E. from Amravati University. With over a decade of experience, he has supervised ten M.Tech thesis and guided more than 200 B.E./B. Tech students in their research and application-based projects. His commitment to mentorship has also led to the successful guidance of six Ph.D. scholars, with two current research scholars having submitted their thesis and four under his supervision making satisfactory progress. He has published 72 research articles, with 51 in refereed international journals and 15 presented at various conferences. His work has garnered 696 citations and an h-index of 11, reflecting my contributions to the academic community. He is passionate about fostering innovation and collaboration in research, and always eager to connect with like-minded professionals and explore new opportunities in the realm of computer science and engineering.
Meeta Singh is a Professor at the Department of Computer Science & Engineering, School of Engineering & Technology, Manav Rachna International Institute of Research and Studies (Deemed to be University), she is a distinguished academician and researcher with over 22 years of experience in the field of Computer Science & Engineering. She earned her Ph.D. in Computer Science & Engineering from Bhagwant University, Ajmer, in 2015. Her academic portfolio also includes an M.Tech in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi (2007), and an M.Sc in Electronics from Banasthali Vidyapeeth, Rajasthan (1999), demonstrating a robust and multidisciplinary educational foundation. Dr. Singh has made significant contributions to her field, holding six patents and publishing more than 40 research papers in esteemed conferences and peer-reviewed journals. Many of these works are indexed in Scopus, WoS, EBSCO, and UGC Care, underscoring her commitment to advancing research and innovation. She also serves in advisory and editorial capacities for prominent academic journals.
Mamta Dahiya has over 23 years of experience in academia, industry, and research. She was closely associated with research and development in the field of spatial data analytics, retrieval, Pattern Recognition, Data Science, Machine Learning, and Information Security, focusing on multiple aspects of societal problems. She has completed her Doctorate in Computer Science and Engineering from Deenbandhu Chotu Ram University of Science and Technology, Murthal. She has a Masters in Technology in Computer Science & Engineering with a Gold Medal. She has almost 85 research publications in various international and national journals of repute and conferences. She has 20 Indian and international patents granted and published. She has authored and edited multiple books with international publishers. She holds professional memberships in societies like IEEE, LMCSI, IJHEPS, and LMSGSD. She has completed eight research projects funded by national and international funding agencies. She has recently completed the Consultancy on “Asian Metropolis” services to carry out the full process of research, analysis, and elaboration of the contents of the publication “Asian Metropolitan Report” with Metropolis, Barcelona, Spain, and “Technology Implementation for Water Management System in Gurugram” a Department of Science Technology sponsored project. She has held various esteemed positions throughout her career, including Dean of the Faculty of Engineering & Technology, Research Track Professor, Program Director, Board of Studies (BOS)/DRC Member, Research and Development (R&D) Chair, ICC Chairperson, etc. Her unwavering commitment to academic excellence, innovation, and integrity has driven her efforts in each role, impacting the institution, faculty, and students she has served.
