Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
154 authors
- Agrawal, Shobit
- Bank Marketing Campaign Response Prediction in Digital ERA
- Amin, Meet
- Optimizing In-Database Analytics for Dynamic Data Exploration and Predictive Insights
- Amin, Meet
- Stochastic Graph-Augmented Recurrent Architectures for Predictive Logistics Network Balancing
- Arora, Abhinav
- Recent IOT-based Expert Systems and Deep Learning Methods in Smart Farming
- Arora, Neeti
- Cyber Security and Awareness in the Modern Digital World
- Ashish, Aditri
- Novel Hybrid Swing Transformer–BiLSTM Model for Accurate Identification of Pelvic Fractures
- Bansal, Anubhi
- MarineEye: A Comparative Study on Underwater image Quality
- Bhardwaj, Mukesh Kumar
- Design and Analysis of Explainable AI-Driven Epileptic Seizure Detection Using Machine Learning Models on the Bonn EEG Dataset
- Bhatia, Leena
- An AI-Enabled Edge-IoT Framework for Real-Time Air Quality Forecasting and Microclimate Zoning in Urban Smart Environments
- Bhatt, Chandradeep
- Essence of Deep Learning Techniques in Evolving Agriculture Technology Society
- Chauhan, Aman Singh
- SQL Injection Attack: Detection, Prioritization and Prevention
- Chauhan, Harsh
- Analysis of Different Frequency Band in EEG Signals for Cognitive Based Specific Emotions
- Chauhan Ravi, Vikas
- Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
- Choudhary, Vansh
- Explainable AI in Healthcare Predictions
- Chundi, Ramesh
- Cross-Domain Sentiment Analysis using Transfer Learning and Domain Tokens
- Devadiga, Spandhana K.
- Image-based News Aggregator Using OCR and NLP for Summarization
- Dhiman, Shubham
- Anomaly Detection in Network Traffic: A Scalable Solution for Real-World Security
- Dixit, Kumud
- Interpretable Deep Learning Framework for Chest X-Ray Classification of Pneumonia and Lung Abnormalities
- Dixit, Kumud
- Design and Analysis of Explainable AI-Driven Epileptic Seizure Detection Using Machine Learning Models on the Bonn EEG Dataset
- Dixit, Kumud
- Multi-Scale Attention Transformer Network for Robust Brain Tumor Segmentation across MRI Modalities
- Dixit, Kumud
- Novel Hybrid Swing Transformer–BiLSTM Model for Accurate Identification of Pelvic Fractures
- Dixit, Prashant
- Multi-Scale Attention Transformer Network for Robust Brain Tumor Segmentation across MRI Modalities
- Gill, Sandeep Kaur
- Explainable AI in Healthcare Predictions
- Gupta, Abhishek Kumar
- Multimodal Deep Learning Framework for Video Summarization Using TVSum and SumMe Datasets
- Gupta, Abhishek Kumar
- Digital Leadership and Employee Performance in the Age of AI: A Comparative Study of Indian Banking Employees Using Machine Learning Approaches
- Gupta, Anil Kumar
- Design and Analysis of Reinforcement-Learning and Graph- Based Curriculum Sequencing for Higher Education with OULAD and KDD Cup 2010 Datasets
- Gupta, Arav
- Explainable AI in Healthcare Predictions
- Gupta, Chhote Lal Prasad
- Recent IOT-based Expert Systems and Deep Learning Methods in Smart Farming
- Gupta, Chhote Lal Prasad
- Early Identification of Autism Spectrum Disorder in Children Aged 1 to 3 Years: Signs, Diagnosis, and Intervention Strategies
- Gupta, Chhote Lal Prasad
- Deep learning Scheme for Acquisition Errors Elimination in ECG Data by the Empirical Mode Values of Independent Components Associated Decomposition
- Gupta, Indra Pal
- Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
- Gupta, Nandini
- Bank Marketing Campaign Response Prediction in Digital ERA
- Gupta, Pragya
- Analysis of Different Frequency Band in EEG Signals for Cognitive Based Specific Emotions
- Gupta, Shilpa
- Interpretable Deep Learning Framework for Chest X-Ray Classification of Pneumonia and Lung Abnormalities
- Hazra, Dibyanarayan
- Bank Marketing Campaign Response Prediction in Digital ERA
- Husain, Mohammad Shahrookh
- Dual-Stream CNN with Graph Neural Network (GNN) Integration for Head and Neck Cancer Recurrence Prediction
- Husain, Mohammad Shahrookh
- Self-Supervised Attention Model for Breast Cancer Detection from Mammography
- Jha, Sonu Kumar
- Analysis of Different Frequency Band in EEG Signals for Cognitive Based Specific Emotions
- Johri, Methily
- Design and Analysis of Explainable AI-Driven Epileptic Seizure Detection Using Machine Learning Models on the Bonn EEG Dataset
- Johri, Methily
- Multimodal Deep Learning Framework for Video Summarization Using TVSum and SumMe Datasets
- Johri, Methly
- Multi-Scale Attention Transformer Network for Robust Brain Tumor Segmentation across MRI Modalities
- Johri, Prashant
- Peer-Review Statements
- Kapoor, Akanksha
- Interpretable Deep Learning Framework for Chest X-Ray Classification of Pneumonia and Lung Abnormalities
- Kathuria, Shubham
- Image Super Resolution Enhancement Using A Hybrid Model Framework
- Kaushal, Swapnil
- Image Super Resolution Enhancement Using A Hybrid Model Framework
- Kaushal, Swapnil
- SQL Injection Attack: Detection, Prioritization and Prevention
- Kharbanda, Sanjana
- Image Super Resolution Enhancement Using A Hybrid Model Framework
- Khatri, Gaurvi
- Design and Simulation of Automatic Cash Changing Vending Machine using HDL
- Kochar, Smarth
- MarineEye: A Comparative Study on Underwater image Quality
- Kumar, Anil
- Early Identification of Autism Spectrum Disorder in Children Aged 1 to 3 Years: Signs, Diagnosis, and Intervention Strategies
- Kumar, Dilip
- Design and Analysis of Reinforcement-Learning and Graph- Based Curriculum Sequencing for Higher Education with OULAD and KDD Cup 2010 Datasets
- Kumar, Hridyesh
- Multimodal Deep Learning Framework for Video Summarization Using TVSum and SumMe Datasets
- Kumar, Kavithaa Suresh
- Identifying Health Factors Leveraging Machine Learning to Uncover Stronger Predictors of Cardiovascular Disease: Clinical Metrics vs. Self-Reports
- Kumar, Krishna
- Explainable AI in Healthcare Predictions
- Kumar, Manoj
- A Review of CMOS based Differential Ring Voltage Controlled Oscillators
- Kumar, Rahul
- Self-Supervised Attention Model for Breast Cancer Detection from Mammography
- Kumar, Rohit
- Self-Supervised Attention Model for Breast Cancer Detection from Mammography
- Kumar, Santosh
- Novel Hybrid Swing Transformer–BiLSTM Model for Accurate Identification of Pelvic Fractures
- Kumar, Satyam
- SQL Injection Attack: Detection, Prioritization and Prevention
- Kumar, Shantnu
- Digital Twins (DT) and Artificial Intelligence (AI) Affect Sustainability Outcomes- Operational Performance- Waste Reduction, and Energy Efficiency
- Kumar, Shubham
- Dynamic Load Balancing in SDN Using Machine Learning
- Kumar, Sujeet
- Interpretable Deep Learning Framework for Chest X-Ray Classification of Pneumonia and Lung Abnormalities
- Kumar, Sujeet
- Multi-Scale Attention Transformer Network for Robust Brain Tumor Segmentation across MRI Modalities
- Kumar, Sujeet
- Cyber Security and Awareness in the Modern Digital World
- Mahajan, Kanika
- Image Super Resolution Enhancement Using A Hybrid Model Framework
- Mehta, Aditya S.
- Leveraging Weather Data and Machine Learning to Enhance Electricity Generation Efficiency
- Mehta, Aditya S.
- Intelligent Power Monitoring and Adaptive Control System for Energy-Efficient Smart Homes
- Mehta, Aditya S.
- Optimizing Distribution Networks for Cost Minimization
- Mishra, Harsh
- Bank Marketing Campaign Response Prediction in Digital ERA
- Mishra, Mukesh
- Peer-Review Statements
- Mohane, Praveen Kumar
- Brain Tumor Classification from MRI Images: A Hybrid Approach with Pre-processing and Feature Extraction
- Mohd, Noor
- Essence of Deep Learning Techniques in Evolving Agriculture Technology Society
- Muppuri, Priyanka
- Resilient Portfolio Strategies and Risk Dynamics in Digital Financial Markets During Global Uncertainty
- Nagarkoti, Gaurav
- Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
- Nagpal, Jyoti
- Federated Cognitive IoT Framework for Enhancing Sustainable Urban Mobility and Advancing Circular Economy Paradigms in Smart Cities
- Nitika
- Design and Simulation of Automatic Cash Changing Vending Machine using HDL
- Ojha, Sanjeev Kumar
- Dual-Stream CNN with Graph Neural Network (GNN) Integration for Head and Neck Cancer Recurrence Prediction
- Pandey, Amit Kumar
- Deep learning Scheme for Acquisition Errors Elimination in ECG Data by the Empirical Mode Values of Independent Components Associated Decomposition
- Pandey, Arpit
- Novel Hybrid Swing Transformer–BiLSTM Model for Accurate Identification of Pelvic Fractures
- Pandey, Ashutosh
- MarineEye: A Comparative Study on Underwater image Quality
- Pathak, Dhiresh Kumar
- Dual-Stream CNN with Graph Neural Network (GNN) Integration for Head and Neck Cancer Recurrence Prediction
- Pathekar, Vanshika
- Cyber Security and Awareness in the Modern Digital World
- Prasad, Shivakar
- Recent IOT-based Expert Systems and Deep Learning Methods in Smart Farming
- Priyadarshi, Abhishek
- Digital Twins (DT) and Artificial Intelligence (AI) Affect Sustainability Outcomes- Operational Performance- Waste Reduction, and Energy Efficiency
- Rai, Divyarth
- An Integrated Hybridization Framework of Machine Learning and Deep Neural Architectures for Robust Textual Sentiment Classification in Movie Review Analytics
- Rai, Divyarth
- A Hybrid Machine Learning and Deep Learning-Based System for Text Sentiment Analysis of Movie Review Classification
- Rai, Priti
- Digital Twins (DT) and Artificial Intelligence (AI) Affect Sustainability Outcomes- Operational Performance- Waste Reduction, and Energy Efficiency
- Rai, Priti
- Cyber Security and Awareness in the Modern Digital World
- Raj, Manish
- Bank Marketing Campaign Response Prediction in Digital ERA
- Rani, B. Tanisha
- Waste Segregation Software
- Rathod, Bhargava
- Deep Learning Enhances Variant Calling Accuracy in Genomic Data
- Rayat, Simar Singh
- Essence of Deep Learning Techniques in Evolving Agriculture Technology Society
- Reddy, P. Santosh
- Image-based News Aggregator Using OCR and NLP for Summarization
- Reddy, Santosh
- Waste Segregation Software
- Sahani, Sujeet Kumar
- Dual-Stream CNN with Graph Neural Network (GNN) Integration for Head and Neck Cancer Recurrence Prediction
- Sahani, Sujeet Kumar
- Self-Supervised Attention Model for Breast Cancer Detection from Mammography
- Sanjan, S. S.
- Image-based News Aggregator Using OCR and NLP for Summarization
- Sasikumar, Sandhya Dharshini
- Identifying Health Factors Leveraging Machine Learning to Uncover Stronger Predictors of Cardiovascular Disease: Clinical Metrics vs. Self-Reports
- Satish, Satish
- A Review of CMOS based Differential Ring Voltage Controlled Oscillators
- Saxena, Akash
- Peer-Review Statements