Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
149 authors
- Agarwal, Madan Mohan
- Assess Learning Parameter of Learner and Classification of Course Content in E-learning System
- Agarwal, Sohit
- Enhanced Multimodal Recommendation System for Personalized Lifestyle Recommendations
- Ahmed, Athar
- Bridging the Gap Between Biological and Artificial Intelligence: A Review
- Ahsaan, Shafqat Ul
- An Optimized Extreme Gradient Boosting Regressor Approach Based Lung Cancer Detection
- Alam, Mohd Jubair
- American Sign Language (ASL) Recognition Using Convolutional Neural Network (CNN)
- Amilineni, Punith
- Analysis of Fruits and Vegetable Conditions Using Image Processing
- Arora, Titu Singh
- Meta-learning with Neural Architecture Search for Optimizing Medical Imaging Pipelines
- Arya, Mithlesh
- Performance Comparison of K-Means and t-SNE Data Compression for Intrusion Detection Using HIKARI-2021 Dataset
- Aswale, Pramod S.
- Cyber-Physical Systems Security Using AI: A Comprehensive Threat Analysis and Attack Modeling
- Awasthi, Shashank
- Machine Learning for Smarter Urban Planning: Transforming Society Through Technological Intervention
- Barot, Roma Vishal
- Optimizing Sepsis Care Through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and Management
- Bharal, Shivam
- AI Acts in Focus: Comparative Insights from the European Union and Canada for India’s Policy Evolution
- Bhatt, Vimal
- Parkinson’s Insight: Leveraging CNN and LSTM Networks for Enhanced Diagnostic Accuracy
- Bishnoi, Deepak
- Leveraging Artificial Intelligence for Multi-Modal Learning in Healthcare Applications
- Chatur, Megha
- NeuroVidX: Text-To-Video Diffusion Models with an Expert Transformer
- Chawla, Nipun
- Enhanced Prediction of Diabetes Outcomes Using Machine Learning Ensemble Modeling with Hyperparameter Tuning
- Choudhary, Ayush
- Analyzing Cryptographic Integrity and Security Challenges in WhatsApp, Telegram, and OpenSSL and Development of CipherX
- Choudhary, Chirag
- Analyzing Cryptographic Integrity and Security Challenges in WhatsApp, Telegram, and OpenSSL and Development of CipherX
- Choudhary, Nilam
- Advancements in IoT Anomaly Detection: Leveraging Machine Learning for Enhanced Security
- Dangat, Ganesh
- NeuroVidX: Text-To-Video Diffusion Models with an Expert Transformer
- Deep, Akash
- Unlocking Strategic Insights: Elevating Business Intelligence through Advanced Big Data Analytics Services
- Devi, M. N. Renuka
- Analysis of Fruits and Vegetable Conditions Using Image Processing
- Dhamodaran, Sasikala
- An Optimized Extreme Gradient Boosting Regressor Approach Based Lung Cancer Detection
- Digaswala, Frenisha Jaimish
- Optimizing Sepsis Care Through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and Management
- Doke, Kailas
- Unveiling Sociodemographic and Economic Drivers of Suicide Using Machine Learning: Toward Ethical and Effective Prevention Strategies
- Dubey, Aniket
- Heart Disease Prediction Based on Retinopathy Using Machine Learning: A Comprehensive Analytical Survey
- Dwivedi, Rakesh Kumar
- A 2D-CNN Based System for the Classification of Alzheimer’s Disease Using Brain MRI Scans
- Gadekar, Prasad
- Unveiling Sociodemographic and Economic Drivers of Suicide Using Machine Learning: Toward Ethical and Effective Prevention Strategies
- Gandhi, Vaibhav C.
- Parkinson’s Insight: Leveraging CNN and LSTM Networks for Enhanced Diagnostic Accuracy
- Gandhi, Vaibhav C.
- Optimizing Sepsis Care Through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and Management
- Gayathri, T.
- A Deep Learning-Based System to Detect Triple Riding and Helmet Violations Through CCTV Webcam
- Goel, Paurav
- Exploring Machine Learning and Ensemble Methods for Crop Yield Prediction: A Review
- Goel, Paurav
- Transforming Sentiment Analysis Using Deep Learning Approaches: A Review
- Gowda V, Dankan
- Peer-Review Statements
- Harsh, Kumar
- AI-Driven Intrusion Detection in IoT Networks: Enhancing Security through Machine Learning and Feature Selection Techniques
- Harshitha, L.
- A Deep Learning-Based System to Detect Triple Riding and Helmet Violations Through CCTV Webcam
- Jaber, Mohammed Nasser
- Named Entity Recognition in NLP For Hindi and Arabic: A Comparative Study
- Jahnavi, Talupula
- Analysis of Fruits and Vegetable Conditions Using Image Processing
- Jain, Amit
- Study of Land Use and Land Cover Change Detection Using Machine Learning on GEE of Chandigarh, India
- Jain, Sachin
- Development of a Predictive Model for Analyzing Crop Losses Due to Natural Disasters
- Jain, Sachin
- Threats and Vulnerabilities in Social Media: A Review of Cyber Security Perspectives
- Jaiswal, Shraddha
- An Optimized Extreme Gradient Boosting Regressor Approach Based Lung Cancer Detection
- Kansal, Mahima
- Enhanced Multimodal Recommendation System for Personalized Lifestyle Recommendations
- Kapadia, Beena
- Study of Land Use and Land Cover Change Detection Using Machine Learning on GEE of Chandigarh, India
- Karthik, Javvadi
- Empowering Women’s Safety: Deep Learning Approaches to Combat Violence
- Kaur, Amandeep
- Study of Land Use and Land Cover Change Detection Using Machine Learning on GEE of Chandigarh, India
- Kaur, Devinder
- Comprehensive Analysis of Prevailing Internet of Things (IoT) and Machine Learning (ML) Based Techniques for Cow Disease Detection
- Kaur, Gurleen
- American Sign Language (ASL) Recognition Using Convolutional Neural Network (CNN)
- Kaur, Navneet
- Exploring Machine Learning and Ensemble Methods for Crop Yield Prediction: A Review
- Kaur, Navneet
- Transforming Sentiment Analysis Using Deep Learning Approaches: A Review
- Kavya, M.
- A Deep Learning-Based System to Detect Triple Riding and Helmet Violations Through CCTV Webcam
- Kharinta, Karamvir
- AI-Driven Intrusion Detection in IoT Networks: Enhancing Security through Machine Learning and Feature Selection Techniques
- Khemnani, Jyoti
- Analyzing Cryptographic Integrity and Security Challenges in WhatsApp, Telegram, and OpenSSL and Development of CipherX
- Kotha, J. Vinay Siva Subhash
- Empowering Women’s Safety: Deep Learning Approaches to Combat Violence
- Kumar, Deepak
- Machine Learning for Smarter Urban Planning: Transforming Society Through Technological Intervention
- Kumar, Deepak
- Unlocking Strategic Insights: Elevating Business Intelligence through Advanced Big Data Analytics Services
- Kumar, Gandam Vijay
- Meta-learning with Neural Architecture Search for Optimizing Medical Imaging Pipelines
- Kumar, Jagana Deepak
- Empowering Women’s Safety: Deep Learning Approaches to Combat Violence
- Kumar, Rakesh
- Machine Learning for Smarter Urban Planning: Transforming Society Through Technological Intervention
- Kumar, Rakesh
- Unlocking Strategic Insights: Elevating Business Intelligence through Advanced Big Data Analytics Services
- Kumar, Ritik
- Enhanced Prediction of Diabetes Outcomes Using Machine Learning Ensemble Modeling with Hyperparameter Tuning
- Kumar, Sangeeth S.
- An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation
- Kumar, Santosh
- Assess Learning Parameter of Learner and Classification of Course Content in E-learning System
- Linda, P. Edith
- Parkinson’s Insight: Leveraging CNN and LSTM Networks for Enhanced Diagnostic Accuracy
- Lowry, Sonam
- Performance Comparison of K-Means and t-SNE Data Compression for Intrusion Detection Using HIKARI-2021 Dataset
- Mandal, Rahul
- Unveiling Sociodemographic and Economic Drivers of Suicide Using Machine Learning: Toward Ethical and Effective Prevention Strategies
- Mathur, Atul
- A 2D-CNN Based System for the Classification of Alzheimer’s Disease Using Brain MRI Scans
- Mishra, Pradeep Kumar
- Unveiling Sociodemographic and Economic Drivers of Suicide Using Machine Learning: Toward Ethical and Effective Prevention Strategies
- Naruka, Sarita
- A Hybrid Framework for Performance Optimization: Comparative Analysis of Machine Learning Algorithms in Data Mining
- Nayyar, Anand
- Peer-Review Statements
- Neela, K.
- An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation
- Pal, Arvind
- Analyzing Cryptographic Integrity and Security Challenges in WhatsApp, Telegram, and OpenSSL and Development of CipherX
- Pandey, Purnendu Shekhar
- Machine Learning for Smarter Urban Planning: Transforming Society Through Technological Intervention
- Pandey, Purnendu Shekhar
- Unlocking Strategic Insights: Elevating Business Intelligence through Advanced Big Data Analytics Services
- Pandey, Saket
- Enhanced Prediction of Diabetes Outcomes Using Machine Learning Ensemble Modeling with Hyperparameter Tuning
- Pandit, Sejal
- NeuroVidX: Text-To-Video Diffusion Models with an Expert Transformer
- Paramhans, Deepak
- AI-Driven Intrusion Detection in IoT Networks: Enhancing Security through Machine Learning and Feature Selection Techniques
- Parashar, Paras
- Machine Learning Techniques for Understanding and Enhancing Student Adaptation in the Post-Pandemic Online Learning Environment
- Patel, Jaina
- Optimizing Sepsis Care Through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and Management
- Patel, Nirav
- Parkinson’s Insight: Leveraging CNN and LSTM Networks for Enhanced Diagnostic Accuracy
- Patel, Nirav
- Optimizing Sepsis Care Through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and Management
- Pathak, Devendar Nath
- Development of a Predictive Model for Analyzing Crop Losses Due to Natural Disasters
- Pathak, Devendar Nath
- Threats and Vulnerabilities in Social Media: A Review of Cyber Security Perspectives
- Patil, Dipak P.
- Cyber-Physical Systems Security Using AI: A Comprehensive Threat Analysis and Attack Modeling
- Patil, Yogesh Tarachand
- Leveraging Artificial Intelligence for Multi-Modal Learning in Healthcare Applications
- Prajapati, Bhumika
- Optimizing Sepsis Care Through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and Management
- Purohit, Amol
- UAV Detection and Identification: A Comparative Review of Current Methods and Future Directions
- Qureshi, Mohammed Abbas
- Meta-learning with Neural Architecture Search for Optimizing Medical Imaging Pipelines
- Raj, Ronit
- Transforming Sentiment Analysis Using Deep Learning Approaches: A Review
- Rajaan, Rajesh
- Advancements in IoT Anomaly Detection: Leveraging Machine Learning for Enhanced Security
- Rajesh, Sudha
- Parkinson’s Insight: Leveraging CNN and LSTM Networks for Enhanced Diagnostic Accuracy
- Rajeshwari, G. B.
- An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation
- Rajpoot, Rohit Singh
- Development of a Predictive Model for Analyzing Crop Losses Due to Natural Disasters
- Ranjan, Mritunjay K.
- Unveiling Sociodemographic and Economic Drivers of Suicide Using Machine Learning: Toward Ethical and Effective Prevention Strategies
- Rastogi, Rajul
- A 2D-CNN Based System for the Classification of Alzheimer’s Disease Using Brain MRI Scans
- Rathore, Khushboo
- Unveiling Sociodemographic and Economic Drivers of Suicide Using Machine Learning: Toward Ethical and Effective Prevention Strategies
- Reethu, P.
- An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation
- Rekha, M.
- An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation
- Rose, K. Charmy
- Deep Learning Note-Taking App with CNN and NLP for Handwritten and Voice Notes
- Sahithi, K. Sai Venkata
- A Deep Learning-Based System to Detect Triple Riding and Helmet Violations Through CCTV Webcam