Proceedings of the International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)

International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)

📍Jaipur, India🗓️ 23-24 March 2026
206 authors
Abubakar, Ismail Dauda
Land Use and Land Cover Classification in Google Earth Engine Using Sentinel-2 Based Random Forest: A Case Study of Katsina State, Nigeria
Adharsh, Chinchilapu
MobileNetV2-Based Approaches for Plant Disease Detection: A Systematic Review
Adhikari, Pradeep Shree
DCGAN-Based Data Augmentation and GridSearch-Optimized CNN for Imbalanced Brain Tumor MRI Classification
Adhikari, Sanchita
Hybrid Uncertainty Aware Model for Precision Crop Recommendation System Using Machine Learning
Agarwal, Yash
A Hybrid Static–Dynamic Deep Learning Approach for Malware Classification
Agrawal, Tarun Kumar
A Hybrid CNN-Random Forest Framework for Interpretable ECG Arrhythmia Detection
Ajeeth, S.
Optimized EEG Channel Selection Using Power-Based Ranking and PSD Feature Modelling for EEG Signal Analysis
Alagammal, S.
Digital Twin-Driven Crop Growth Monitoring System Integrated with Deep Learning-Based Disease and Quality Assessment
Amarnadh, B.
Drug Recommendation System Based on Using NLP Algorithms to Perform Sentiment Analysis of User Reviews
Anoushka
Leakage-Free Multimodal Fusion of Radiomics and 3D Deep Learning for CT-Based PDAC Classification
Anupma
An Intelligent Customer Analytics Framework Using RFM Segmentation and Hybrid Recommendation Systems
Anurada, T.
ResQNet - Concurrent Protection to Living Things to Connect Public with NGOs
Anushwer, P.
ResQNet - Concurrent Protection to Living Things to Connect Public with NGOs
Aparna, Pasam
Brain Tumor Detection and Classification from MRI Scans Using Deep Convolutional Neural Networks
Bai, R. Leelavathi
A Deep Learning Framework for Skeletal Maturity Evaluation
Bala, P. Shanthi
Optimized EEG Channel Selection Using Power-Based Ranking and PSD Feature Modelling for EEG Signal Analysis
Bandekar, Atharv
ReviewGuard: Real-Time Detection of Fake Online Reviews
Bano, Shabanam
Beyond Basic Emotions: Deep Neural Networks for Compound Facial Expression Detection
Banu, A. R. Fouzia
SmartLife Guardian: An AI-Driven Multimodal Health Monitoring System for Elderly Care
Barak, Rishu
AI-Driven Multi-Source Disaster Response System Using Machine Learning
Behera, Ritisa
A Simulation Framework for AI-Driven, Software Defined Network-Powered, Self-Healing 5G Security with Slice Isolation
Bhambu, Pawan
Beyond Basic Emotions: Deep Neural Networks for Compound Facial Expression Detection
Bhambu, Pawan
Wireless Sensor Networks: A Survey of Design Challenges, Routing Protocols, and Emerging Applications
Bharath, Kodidala
Smart AgriTech: An IoT and Machine Learning-Based Crop Recommendation and Soil Monitoring System with Telugu Chatbot Support
Bharath, R.
ResQNet - Concurrent Protection to Living Things to Connect Public with NGOs
Bhuvanesh, S.
Microbial Soil Health Restoration
Bichi, Abdulkadir Shehu
HQIAT-ML: Hybrid Quantum-Inspired Adaptive Transformer with Meta-Learning for Student Dropout Prediction Risk Explanation
Bino, Dhivya
Dataset-Aware Automated Model Selection for Abstractive Summarization: A Meta-Learning Approach
Chandraleka, M.
Low-Latency Sentiment and Emotion Mining from Streaming Voice Transcriptions
Chaudhari, Siddhesh
Rakshak: A Multi-Layered Intelligent Framework for Offline-Capable Proactive Emergency Response in Women’s Safety Systems
Chaudhary, Kajal
An Intelligent Customer Analytics Framework Using RFM Segmentation and Hybrid Recommendation Systems
Chauhan, Parth
AI-Driven Multi-Source Disaster Response System Using Machine Learning
Cheng, Chin-Hwa
Eliminating the Interference of the Windshield Wipers on Lane Detection
Chennarao, Pamarthi
Machine Learning Based Decadal Land Use Land Cover Analysis of Karnataka
Dadhich, Priyanka
An Impact of Cloud Technology on Education, HealthCare, Cybersecurity and Agriculture: A comprehensive Literature Review
Dagar, Aman
AI-Driven Multi-Source Disaster Response System Using Machine Learning
Deshmukh, Karansinh
Rakshak: A Multi-Layered Intelligent Framework for Offline-Capable Proactive Emergency Response in Women’s Safety Systems
Dhakshnamoorthy, Kalpanapriya
Hybrid Deep Intelligence for Aircraft Engine Remaining Useful Life Prediction
Dhiman, Hardik
Design and Implementation of PID Control System for Beam Balancing using BLDC Motors
Dua, Surendra Singh
An On-Off Attack Resilient Trust Framework for IoT
Duodu, Nana Yaw
Sanskrit-to-Hindi Translation of Bhagavad Gita Verses Using a Deep Learning–Based Sequence-to-Sequence Model
Eri, Ramesh
Blockchain-Enabled Federated Learning for Privacy-Preserving Cryptocurrency Fraud Detection
Fasith, J. Jalil
Autonomous Car Parking Assistant Using YOLOv11 and Route Optimization with Streamlit Interface
Garg, Balendra Kumar
An Optimized Ensemble-Based Machine Learning Model for an Intrusion Detection System to Secure IoT Devices
Gawade, Sayali Subhash
DMorphNet: Face Morphing Detection Using Generative Adversarial Networks and EfficientNet-B6
Geetha, R.
ResQNet - Concurrent Protection to Living Things to Connect Public with NGOs
Giriprasath, K.
ReviewGuard: Real-Time Detection of Fake Online Reviews
Gogoi, Abhikshit
Ransomware Resilience: An Integrated Framework for Mitigation, Recovery, and Best Practices using SIEM and Machine Learning
Govekar, Shubham
ReviewGuard: Real-Time Detection of Fake Online Reviews
Gujar, Anushka Vijay
DMorphNet: Face Morphing Detection Using Generative Adversarial Networks and EfficientNet-B6
Gupta, Priyanka
Deep Learning-Based Crop Disease Detection: A Comprehensive Review of ResNet Architectures
Gupta, Priyanka
A Review on AI-Driven Smart Crop Advisory Systems for Small and Marginal Farmers
Gupta, Priyanka
MobileNetV2-Based Approaches for Plant Disease Detection: A Systematic Review
Gupta, Shiva
A Blockchain-Based Framework for Transparent and Accountable Management of Medical Supply Chains Using Smart Contracts
Harekar, Akshata Ramesh
DMorphNet: Face Morphing Detection Using Generative Adversarial Networks and EfficientNet-B6
Harshitha, Vemuri Hema
A Student - Alumni Networking and Career Development Platform
Heeranya, R.
Microbial Soil Health Restoration
Jadhav, Anushka Sanjay
DMorphNet: Face Morphing Detection Using Generative Adversarial Networks and EfficientNet-B6
Jain, Mohit Kumar
An On-Off Attack Resilient Trust Framework for IoT
Jain, Sanket
A Hybrid Static–Dynamic Deep Learning Approach for Malware Classification
Janani, M.
Microbial Soil Health Restoration
Jayaprakash, B.
Deep Feature Extraction with SVM Classification: A Robust Framework for Lung Cancer Detection in Histological Images
Joshi, Deeya
AI-Driven Multi-Source Disaster Response System Using Machine Learning
Kalam, Mulinti
Rainfall Crop Advisory (Location-Based) System Using Machine Learning
Kanawade, Sneha
Rakshak: A Multi-Layered Intelligent Framework for Offline-Capable Proactive Emergency Response in Women’s Safety Systems
Kannan, Vigneshwaran
ResQNet - Concurrent Protection to Living Things to Connect Public with NGOs
Karnawat, Yashwant
Rakshak: A Multi-Layered Intelligent Framework for Offline-Capable Proactive Emergency Response in Women’s Safety Systems
Karodpati, Chinmay
Rakshak: A Multi-Layered Intelligent Framework for Offline-Capable Proactive Emergency Response in Women’s Safety Systems
Kaur, Amandeep
An Impact of Cloud Technology on Education, HealthCare, Cybersecurity and Agriculture: A comprehensive Literature Review
Kaur, Roopmeet
Design and Implementation of PID Control System for Beam Balancing using BLDC Motors
Kaur, Roopmeet
Eliminating the Interference of the Windshield Wipers on Lane Detection
Kavanthankar, Tejas
ReviewGuard: Real-Time Detection of Fake Online Reviews
Kavitha, R.
Real-Time Human Action Recognition and Alert System
Kaviyazhiny, C.
Optimized EEG Channel Selection Using Power-Based Ranking and PSD Feature Modelling for EEG Signal Analysis
Khagesh, Pirla
MobileNetV2-Based Approaches for Plant Disease Detection: A Systematic Review
Khakhil, Sanjay
A Hybrid Static–Dynamic Deep Learning Approach for Malware Classification
Khari, Manju
Peer-Review Statements
Khot, Anushka
Veritas Ledger: A Blockchain-Based, Heuristic-driven NLP LegalTech Web Platform for Secure Document Verification
Krishna, Arla Gopala
Feature Reliability and Uncertainty-Aware Fuzzy Learning for COVID-19 Lesion Segmentation
Kulbhushan, Kotagiri
A Review on AI-Driven Smart Crop Advisory Systems for Small and Marginal Farmers
Kulkarni, Ananya
Veritas Ledger: A Blockchain-Based, Heuristic-driven NLP LegalTech Web Platform for Secure Document Verification
Kumar, Aniket
Next-Generation AI-Assisted Bug Tracking and Automated Code Analysis System
Kumar, Aryan
Real-Time Human Action Recognition and Alert System
Kumar, Atul
Hybrid Uncertainty Aware Model for Precision Crop Recommendation System Using Machine Learning
Kumar, Harsh
LLM Suggester: An AI-Driven Model Recommendation System for Task-Specific Large Language Model Selection
Kumar, Jayant
Hybrid Uncertainty Aware Model for Precision Crop Recommendation System Using Machine Learning
Kumar, Jitendra
Hybrid Uncertainty Aware Model for Precision Crop Recommendation System Using Machine Learning
Kumar, P. Rajat
A Deep Learning Framework for Skeletal Maturity Evaluation
Kumar, Raj
An Impact of Cloud Technology on Education, HealthCare, Cybersecurity and Agriculture: A comprehensive Literature Review
Kumar, Sanjay
An Intelligent Customer Analytics Framework Using RFM Segmentation and Hybrid Recommendation Systems
Kumar, V. Prashanth
A Deep Learning Framework for Skeletal Maturity Evaluation
Kumari, Shruti
Next-Generation AI-Assisted Bug Tracking and Automated Code Analysis System
Kumbhar, R. D.
An Optimized Ensemble-Based Machine Learning Model for an Intrusion Detection System to Secure IoT Devices
Kushwaha, Sunita
An Optimized Ensemble-Based Machine Learning Model for an Intrusion Detection System to Secure IoT Devices
Kushwaha, Vipin Kr.
A Blockchain-Based Framework for Transparent and Accountable Management of Medical Supply Chains Using Smart Contracts
Lahari, Rachabattula
A Student - Alumni Networking and Career Development Platform
Lakshmi, Papani Sri
Brain Tumor Detection and Classification from MRI Scans Using Deep Convolutional Neural Networks
Lakshmi, Thammisetty Siva Naga
A Student - Alumni Networking and Career Development Platform
Latha, Pandala Madhavi
Machine Learning Based Decadal Land Use Land Cover Analysis of Karnataka
Leeladhar, G.
Drug Recommendation System Based on Using NLP Algorithms to Perform Sentiment Analysis of User Reviews