
Narayan Vyas, an academician at Vivekananda Global University, specializes in computer science, focusing on IoT and Mobile App Development. He has trained over 1000 students globally and published extensively in Scopus journals. An active IEEE member, his research interests include Remote Sensing, Machine Learning, and Computer Vision.

Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Price: Free | Publisher: Atlantis Press
Editors: Narayan Vyas, Amit Sharma, Anand Nayyar, Manish Shrivastava, Dankan Dowda V
Release Date: 19 April 2025 | Copyright: © 2025 Atlantis Press | Language: English | Categories: Computer Science, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science
ISBN: 978-94-6463-700-7 | DOI: 10.2991/978-94-6463-700-7
Welcome to the proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025). This peer-reviewed collection showcases cutting-edge research presented by academics, scholars, and industry experts on a broad spectrum of computing and AI topics.
Held on February 21–22, 2025, at Vivekananda Global University, Jaipur, India, the conference fosters global knowledge exchange and collaboration. This volume, part of the Advances in Intelligent Systems Research (AISR) series, includes significant contributions on deep learning, cybersecurity, IoT, medical AI, NLP, and computer vision among others.
Buy NowChapter 1: Peer-Review Statements
Authors: Narayan Vyas, Amit Sharma, Anand Nayyar, Manish Shrivastava, Dankan Gowda V
Chapter 2: A 2D-CNN Based System for the Classification of Alzheimer’s Disease Using Brain MRI Scans
Authors: Atul Mathur, Rakesh Kumar Dwivedi, Rajul Rastogi
Chapter 3: NeuroVidX: Text-To-Video Diffusion Models with an Expert Transformer
Authors: Shruti Sawant, Sejal Pandit, Megha Chatur, Aditya Shinde, Ganesh Dangat
Chapter 4: Study of Land Use and Land Cover Change Detection Using Machine Learning on GEE of Chandigarh, India
Authors: Amandeep Kaur, Gurwinder Singh, Amit Jain, Beena Kapadia
Chapter 5: Enhanced Multimodal Recommendation System for Personalized Lifestyle Recommendations
Authors: Mahima Kansal, Sohit Agarwal
Chapter 6: Exploring Machine Learning and Ensemble Methods for Crop Yield Prediction: A Review
Authors: Bhumika Tiwari, Navneet Kaur, Paurav Goel
Chapter 7: Transforming Sentiment Analysis Using Deep Learning Approaches: A Review
Authors: Ronit Raj, Navneet Kaur, Paurav Goel
Chapter 8: Cyber-Physical Systems Security Using AI: A Comprehensive Threat Analysis and Attack Modeling
Authors: Pramod S. Aswale, Dipak P. Patil
Chapter 9: Development of a Predictive Model for Analyzing Crop Losses Due to Natural Disasters
Authors: Saurabh Shandilya, Rohit Singh Rajpoot, Devendar Nath Pathak, Sachin Jain, Shalini Singhal, Priyanka Sharma
Chapter 10: Optimized Image Encryption Model based on Hybridization of Chaotic Maps with Metaheuristic OOBO Algorithm
Authors: Abhinaya Srivastava, Shano Solanki
Chapter 11: Comprehensive Analysis of Prevailing Internet of Things (IoT) and Machine Learning (ML) Based Techniques for Cow Disease Detection
Authors: Devinder Kaur, Amandeep Kaur Virk
Chapter 12: Machine Learning for Smarter Urban Planning: Transforming Society Through Technological Intervention
Authors: Rakesh Kumar, Deepak Kumar, Purnendu Shekhar Pandey, Shashank Awasthi
Chapter 13: Unlocking Strategic Insights: Elevating Business Intelligence through Advanced Big Data Analytics Services
Authors: Rakesh Kumar, Deepak Kumar, Purnendu Shekhar Pandey, Akash Deep
Chapter 14: Parkinson’s Insight: Leveraging CNN and LSTM Networks for Enhanced Diagnostic Accuracy
Authors: Nirav Patel, R. Srividhya, P. Edith Linda, Sudha Rajesh, Vaibhav C. Gandhi, Vimal Bhatt
Chapter 15: American Sign Language (ASL) Recognition Using Convolutional Neural Network (CNN)
Authors: Gurleen Kaur, Harshit Saini, Mohd Jubair Alam
Chapter 16: Optimizing Sepsis Care Through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and Management
Authors: Vaibhav C. Gandhi, Jaina Patel, Bhumika Prajapati, Frenisha Jaimish Digaswala, Roma Vishal Barot, Nirav Patel
Chapter 17: UAV Detection and Identification: A Comparative Review of Current Methods and Future Directions
Authors: Bharti Sharma, Amol Purohit
Chapter 18: Unveiling Sociodemographic and Economic Drivers of Suicide Using Machine Learning: Toward Ethical and Effective Prevention Strategies
Authors: Khushboo Rathore, Pradeep Kumar Mishra, Mritunjay K. Ranjan, Prasad Gadekar, Rahul Mandal, Kailas Doke
Chapter 19: Threats and Vulnerabilities in Social Media: A Review of Cyber Security Perspectives
Authors: Saurabh Shandilya, Sachin Jain, Gaurav Sharma, Devendar Nath Pathak, Shalini Singhal, Priyanka Sharma
Chapter 20: AI Acts in Focus: Comparative Insights from the European Union and Canada for India’s Policy Evolution
Authors: Shivam Bharal, Ritu Sharma
Chapter 21: Analysis of Fruits and Vegetable Conditions Using Image Processing
Authors: Talupula Jahnavi, M. N. Renuka Devi, Punith Amilineni
Chapter 22: Empowering Women’s Safety: Deep Learning Approaches to Combat Violence
Authors: B. Ch. S. N. L. S. Sai Baba, Jagana Deepak Kumar, J. Vinay Siva Subhash Kotha, Javvadi Karthik, Jamula Subhashini
Chapter 23: Deep Learning Note-Taking App with CNN and NLP for Handwritten and Voice Notes
Authors: G. R. L. M. Tayaru, K. Raja Sekhar, R. Sravani, P. Saranya, R. Satya Vani, K. Sathvika, K. Charmy Rose
Chapter 24: Meta-learning with Neural Architecture Search for Optimizing Medical Imaging Pipelines
Authors: Titu Singh Arora, Mohammed Abbas Qureshi, Gandam Vijay Kumar
Chapter 25: Leveraging Artificial Intelligence for Multi-Modal Learning in Healthcare Applications
Authors: Yogesh Tarachand Patil, Pallavi Soni, Vivek Verma, Deepak Bishnoi
Chapter 26: An Optimized Extreme Gradient Boosting Regressor Approach Based Lung Cancer Detection
Authors: Sasikala Dhamodaran, Shafqat Ul Ahsaan, Naheeda Zaib, Shraddha Jaiswal
Chapter 27: A Deep Learning-Based System to Detect Triple Riding and Helmet Violations Through CCTV Webcam
Authors: T. Gayathri, M. Kavya, M. Hema Sri, L. Harshitha, K. Sai Venkata Sahithi, M. Tejaswi
Chapter 28: Performance Comparison of K-Means and t-SNE Data Compression for Intrusion Detection Using HIKARI-2021 Dataset
Authors: Sonam Lowry, Mithlesh Arya, Surendra Yadav
Chapter 29: Enhanced Prediction of Diabetes Outcomes Using Machine Learning Ensemble Modeling with Hyperparameter Tuning
Authors: Ritik Kumar, Nipun Chawla, Saket Pandey, Shaifali Sharma
Chapter 30: Advancements in IoT Anomaly Detection: Leveraging Machine Learning for Enhanced Security
Authors: Rajesh Rajaan, Baldev Singh, Nilam Choudhary
Chapter 31: AI-Driven Intrusion Detection in IoT Networks: Enhancing Security through Machine Learning and Feature Selection Techniques
Authors: Karamvir Kharinta, Kumar Harsh, Deepak Paramhans
Chapter 32: Assess Learning Parameter of Learner and Classification of Course Content in E-learning System
Authors: Santosh Kumar, Baldev Singh, Madan Mohan Agarwal
Chapter 33: Heart Disease Prediction Based on Retinopathy Using Machine Learning: A Comprehensive Analytical Survey
Authors: Aniket Dubey, Amarsinh Vidhate
Chapter 34: Named Entity Recognition in NLP For Hindi and Arabic: A Comparative Study
Authors: Mohammed Nasser Jaber
Chapter 35: An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation
Authors: M. Rekha, K. Neela, P. Reethu, G. B. Rajeshwari, U. S. Yadhu Krishna, Sangeeth S. Kumar
Chapter 36: Machine Learning based Security Solutions against DDoS Attacks in Software Defined Networks
Authors: Sanjay Vidhani, Amarsinh Vidhate
Chapter 37: A Hybrid Framework for Performance Optimization: Comparative Analysis of Machine Learning Algorithms in Data Mining
Authors: Sarita Naruka, Arvind Kumar Sharma, Amit Sharma
Chapter 38: Analyzing Cryptographic Integrity and Security Challenges in WhatsApp, Telegram, and OpenSSL and Development of CipherX
Authors: Arjun Verma, Falguni Sharma, Prashant Sharma, Ayush Choudhary, Jyoti Khemnani, Chirag Choudhary, Arvind Pal
Chapter 39: Machine Learning Techniques for Understanding and Enhancing Student Adaptation in the Post-Pandemic Online Learning Environment
Authors: Paras Parashar, Randeep Singh, Deepak Chandra Uprety
Chapter 40: Bridging the Gap Between Biological and Artificial Intelligence: A Review
Authors: Athar Ahmed
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