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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.

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Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

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.

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  • Chapter 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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