Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)

154 authors
Senthil, S.
Cross-Domain Sentiment Analysis using Transfer Learning and Domain Tokens
Sharma, Ashish
Multimodal Deep Learning Framework for Video Summarization Using TVSum and SumMe Datasets
Sharma, Ashish
Digital Leadership and Employee Performance in the Age of AI: A Comparative Study of Indian Banking Employees Using Machine Learning Approaches
Sharma, Karishma
Federated Cognitive IoT Framework for Enhancing Sustainable Urban Mobility and Advancing Circular Economy Paradigms in Smart Cities
Sharma, Mudit
Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
Sharma, Praveen
An Integrated Hybridization Framework of Machine Learning and Deep Neural Architectures for Robust Textual Sentiment Classification in Movie Review Analytics
Sharma, Praveen
A Hybrid Machine Learning and Deep Learning-Based System for Text Sentiment Analysis of Movie Review Classification
Sharma, Radhika
Design and Analysis of Explainable AI-Driven Epileptic Seizure Detection Using Machine Learning Models on the Bonn EEG Dataset
Sharma, Satyam Kumar
Digital Leadership and Employee Performance in the Age of AI: A Comparative Study of Indian Banking Employees Using Machine Learning Approaches
Sharma, Sonam
Dynamic Load Balancing in SDN Using Machine Learning
Sharma, Sonam
Anomaly Detection in Network Traffic: A Scalable Solution for Real-World Security
Sharma, Uday
Image Super Resolution Enhancement Using A Hybrid Model Framework
Shukla, Avnish
Design and Analysis of Explainable AI-Driven Epileptic Seizure Detection Using Machine Learning Models on the Bonn EEG Dataset
Shukla, Jai Narayan
Digital Leadership and Employee Performance in the Age of AI: A Comparative Study of Indian Banking Employees Using Machine Learning Approaches
Shukla, Maharshi
Optimizing In-Database Analytics for Dynamic Data Exploration and Predictive Insights
Shukla, Maharshi
Stochastic Graph-Augmented Recurrent Architectures for Predictive Logistics Network Balancing
Shukla, Somendra
Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
Simic, Milan
Peer-Review Statements
Sindhu, Siva Sivatha
Identifying Health Factors Leveraging Machine Learning to Uncover Stronger Predictors of Cardiovascular Disease: Clinical Metrics vs. Self-Reports
Singh, Akanksha
Cyber Security and Awareness in the Modern Digital World
Singh, Anjul
Interpretable Deep Learning Framework for Chest X-Ray Classification of Pneumonia and Lung Abnormalities
Singh, Anshu
Cyber Security and Awareness in the Modern Digital World
Singh, Gagandeep
Dynamic Load Balancing in SDN Using Machine Learning
Singh, Gyanendra Veer
Design and Analysis of Reinforcement-Learning and Graph- Based Curriculum Sequencing for Higher Education with OULAD and KDD Cup 2010 Datasets
Singh, Mohit
Cross-Domain Sentiment Analysis using Transfer Learning and Domain Tokens
Singh, Neelam
Dual-Stream CNN with Graph Neural Network (GNN) Integration for Head and Neck Cancer Recurrence Prediction
Singh, Ranjan Kumar
Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
Singh, Satyam
Brain Tumor Classification from MRI Images: A Hybrid Approach with Pre-processing and Feature Extraction
Singh, Shashank
Design and Simulation of Automatic Cash Changing Vending Machine using HDL
Soni, Ankit Kumar
Explainable AI in Healthcare Predictions
Srivastava, Adarsh Vardhan
Recent IOT-based Expert Systems and Deep Learning Methods in Smart Farming
Srivastava, Adarsh Vardhan
Early Identification of Autism Spectrum Disorder in Children Aged 1 to 3 Years: Signs, Diagnosis, and Intervention Strategies
Thakkar, Vinati
Image-based News Aggregator Using OCR and NLP for Summarization
Thapa, Sujal
Essence of Deep Learning Techniques in Evolving Agriculture Technology Society
Tiwari, Gaurav
SQL Injection Attack: Detection, Prioritization and Prevention
Tripathi, Divyanshu
SQL Injection Attack: Detection, Prioritization and Prevention
Tripathi, Rishi
MarineEye: A Comparative Study on Underwater image Quality
Tutoo, Anshika
Anomaly Detection in Network Traffic: A Scalable Solution for Real-World Security
Upadhyay, Ankit
Multi-Scale Attention Transformer Network for Robust Brain Tumor Segmentation across MRI Modalities
Upadhyay, Ankit
Multimodal Deep Learning Framework for Video Summarization Using TVSum and SumMe Datasets
Upadhyay, Ankit
Digital Leadership and Employee Performance in the Age of AI: A Comparative Study of Indian Banking Employees Using Machine Learning Approaches
Varshini, K.
Waste Segregation Software
Varshney, Abhishek
Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
Varshney, Abhishek
Multi-Scale Attention Transformer Network for Robust Brain Tumor Segmentation across MRI Modalities
Varshney, Abhishek
Dual-Stream CNN with Graph Neural Network (GNN) Integration for Head and Neck Cancer Recurrence Prediction
Varshney, Abhishek
Self-Supervised Attention Model for Breast Cancer Detection from Mammography
Vats, Vani
MarineEye: A Comparative Study on Underwater image Quality
Verma, Apoorva
An AI-Enabled Edge-IoT Framework for Real-Time Air Quality Forecasting and Microclimate Zoning in Urban Smart Environments
Verma, Chandra Shekhar
Design and Analysis of Reinforcement-Learning and Graph- Based Curriculum Sequencing for Higher Education with OULAD and KDD Cup 2010 Datasets
Verma, Ramesh Kumar
Recent IOT-based Expert Systems and Deep Learning Methods in Smart Farming
Verma, Sachin Kumar
Design and Analysis of Reinforcement-Learning and Graph- Based Curriculum Sequencing for Higher Education with OULAD and KDD Cup 2010 Datasets
Vishnoi, Deepali
Federated Cognitive IoT Framework for Enhancing Sustainable Urban Mobility and Advancing Circular Economy Paradigms in Smart Cities
Yadav, Dhirendra
Cross-Domain Sentiment Analysis using Transfer Learning and Domain Tokens
Yadav, Shilpi
Bank Marketing Campaign Response Prediction in Digital ERA