Proceedings of the International Conference on Emerging Trends and Technologies in Applications of Computer Science (ICETTACS 2026)
International Conference on Emerging Trends and Technologies in Applications of Computer Science (ICETTACS 2026)
📍Ranchi, India🗓️ 9-10 July 2026
58 authors
- Abhishek, Abhishek
- QDAR: Query-Guided Distribution-Aware Recommendation for Efficient Intent-Centric Modeling
- Adhikary, Arnab
- An AI Framework for Brain Tumor Classification, Localization, and Clinical Assistance
- Alam, Afrin
- Hierarchical Convolutional Spectral Feature Learning for Multi-Class Disfluency Classification in the SEP-28k Stuttering Speech Corpus
- Amritanjali, Amritanjali
- Hierarchical Convolutional Spectral Feature Learning for Multi-Class Disfluency Classification in the SEP-28k Stuttering Speech Corpus
- Banerjee, Mahua
- AI-Driven 3D Liver Segmentation Using Deep Learning and MONAI
- Banerjee, Mahua
- Machine Learning–Based Terrorism Forecasting Using XGBoost on Large-Scale Global Data
- Banerji, Nandan
- Peer-Review Statements
- Bhattacharjee, V.
- QDAR: Query-Guided Distribution-Aware Recommendation for Efficient Intent-Centric Modeling
- Bishnu, P. S.
- QDAR: Query-Guided Distribution-Aware Recommendation for Efficient Intent-Centric Modeling
- Bishnu, Partha Sarathi
- Peer-Review Statements
- Bishnu, Partha Sarathi
- Machine Learning and Deep Learning Approaches for Global Electric Vehicle Sales Forecasting Under Low-Resolution Data Constraints
- Bonam, Jithendra Venkata Sai
- Opportunities and Challenges of Intelligent Quantum Image Processing with Deep Learning
- Chakarvarty, Soumitro
- AI-Driven 3D Liver Segmentation Using Deep Learning and MONAI
- Chakarvarty, Soumitro
- Machine Learning–Based Terrorism Forecasting Using XGBoost on Large-Scale Global Data
- Choudhary, Rishi Raj
- AI-Driven 3D Liver Segmentation Using Deep Learning and MONAI
- Choudhary, Rishi Raj
- Machine Learning–Based Terrorism Forecasting Using XGBoost on Large-Scale Global Data
- Das, Parthib
- An AI Framework for Brain Tumor Classification, Localization, and Clinical Assistance
- Das, Rupak
- An AI Framework for Brain Tumor Classification, Localization, and Clinical Assistance
- Diasi, Astarag
- An AI Framework for Brain Tumor Classification, Localization, and Clinical Assistance
- Hemalatha, Raavi
- Opportunities and Challenges of Intelligent Quantum Image Processing with Deep Learning
- Jha, Ritesh
- Machine Learning-Based Intrusion Detection for Malicious Email Attachments
- Jha, Vijay Kumar
- Machine Learning-Based Intrusion Detection for Malicious Email Attachments
- Kumar, Abhishek
- Machine Learning and Deep Learning Approaches for Global Electric Vehicle Sales Forecasting Under Low-Resolution Data Constraints
- Kumar, Mirtunjay
- Wireless Communication Enabled Interactive Robot with Embedded Voice Assistance and Health Monitoring
- Kumar, Satyam
- AI-Driven 3D Liver Segmentation Using Deep Learning and MONAI
- Kumar, Satyam
- Machine Learning–Based Terrorism Forecasting Using XGBoost on Large-Scale Global Data
- Kumar, Umesh
- Wireless Communication Enabled Interactive Robot with Embedded Voice Assistance and Health Monitoring
- Kumari, Priyanka
- An AI Framework for Brain Tumor Classification, Localization, and Clinical Assistance
- Lata, Kanak
- Machine Learning-Based Intrusion Detection for Malicious Email Attachments
- Mishra, Swastik
- Wireless Communication Enabled Interactive Robot with Embedded Voice Assistance and Health Monitoring
- Misra, Sneha
- An AI Framework for Brain Tumor Classification, Localization, and Clinical Assistance
- Pagidipally, Amrut
- A Metadata-Driven Deployment Risk Scoring Framework for Enterprise Salesforce CI/CD Pipelines
- Pal, Jaya
- A Study and Analysis of Plant Leaf Disease Prediction using Deep Learning Techniques
- Patel, Mayank
- Causal and Counterfactual Explainable AI in Breast Cancer Imaging: A Clinically-Constrained Review Toward Trustworthy Diagnosis
- Patel, Mayank
- An Explainable Dual-Stream Center-Weighted Smart Zoom Architecture for Robust Potato Leaf Disease Classification
- Prasad, Umesh
- AI-Driven 3D Liver Segmentation Using Deep Learning and MONAI
- Prasad, Umesh
- Machine Learning–Based Terrorism Forecasting Using XGBoost on Large-Scale Global Data
- Priyam, Amrita
- AI-Driven 3D Liver Segmentation Using Deep Learning and MONAI
- Priyam, Amrita
- Machine Learning–Based Terrorism Forecasting Using XGBoost on Large-Scale Global Data
- Rajak, Priyanshu
- Wireless Communication Enabled Interactive Robot with Embedded Voice Assistance and Health Monitoring
- Ranjan, Tanisha
- A Study and Analysis of Plant Leaf Disease Prediction using Deep Learning Techniques
- Raundale, Pooja
- Plant Disease Classification with Vision Transformers and a CNN–Transformer Score Ensemble
- Seelam, Murali Mohan Reddy
- A Metadata-Driven Deployment Risk Scoring Framework for Enterprise Salesforce CI/CD Pipelines
- Shah, Divyesh
- Plant Disease Classification with Vision Transformers and a CNN–Transformer Score Ensemble
- Sharma, Ajay Kumar
- Causal and Counterfactual Explainable AI in Breast Cancer Imaging: A Clinically-Constrained Review Toward Trustworthy Diagnosis
- Sharma, Ajay Kumar
- An Explainable Dual-Stream Center-Weighted Smart Zoom Architecture for Robust Potato Leaf Disease Classification
- Sharma, Ravi
- Explainable AI Based Credit Risk Prediction for Loan Approval using CIBIL Score
- Singh, Hitendra
- An Explainable Dual-Stream Center-Weighted Smart Zoom Architecture for Robust Potato Leaf Disease Classification
- Subia, Subia
- Wireless Communication Enabled Interactive Robot with Embedded Voice Assistance and Health Monitoring
- Thanneeru, Vyshnavi
- A Metadata-Driven Deployment Risk Scoring Framework for Enterprise Salesforce CI/CD Pipelines
- Tigga, Onima
- A Study and Analysis of Plant Leaf Disease Prediction using Deep Learning Techniques
- Upadhyay, Avnish
- Wireless Communication Enabled Interactive Robot with Embedded Voice Assistance and Health Monitoring
- Upadhyay, Devesh Kumar
- Peer-Review Statements
- Upadhyay, Devesh Kumar
- Explainable AI Based Credit Risk Prediction for Loan Approval using CIBIL Score
- Upadhyay, Devesh Kumar
- Machine Learning and Deep Learning Approaches for Global Electric Vehicle Sales Forecasting Under Low-Resolution Data Constraints
- Vhatkar, Akshay
- Plant Disease Classification with Vision Transformers and a CNN–Transformer Score Ensemble
- Warrier, Arun
- Plant Disease Classification with Vision Transformers and a CNN–Transformer Score Ensemble
- Yadav, Yashika
- Causal and Counterfactual Explainable AI in Breast Cancer Imaging: A Clinically-Constrained Review Toward Trustworthy Diagnosis