.- Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains.
.- Crude Oil Price Forecasting using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models.
.- Adam Lyrebird Optimization-based DLSTM for Solar Irradiance Prediction using Time Series Data.
.- Code Smell Detection using Deep Learning Models to Enhance the Software Quality.
.- Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep Learning with Mobile App Technology for Plant Leaf Disease Detection.
.- Air Quality Prediction using Ensemble Learning.
.- Real-Time Highway Accident Detection and Response with Deep Learning and Edge Caching.
.- Detection of Yoga Poses Using CNN and LSTM Models.
.- Enhancing Rhetorical Role Identification in Legal Documents using Large Language Models and IN_place Data Augmentation.
.- Persona-Driven Dialog Generation: Enhancing User Engagement Through Linguistic Proficiency and Personalization.
.- Design and Development of a Working Tool for Visual Speech and Speaker Recognition for Marathi and Gujarati Languages.
.- Analysis of Tracking Algorithms for Multi-Person Tracking.
.- Personalized Human Activity Recognition Using Smartphone Technology.
.- Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing.
.- A Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis.
.- Performance Improvement of Machine Learning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction.
.- Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features.
.- Deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images.
.- Pneumonia Detection from X-ray Images using Deep Transfer Learning.
.- Crop Identification by using Machine Learning Classification Algorithm.
.- Biotic Stress Classification of Pear Leaves Diseases using Stacking Ensemble Approaches.
.- Unveiling Emotions from Audio: A Multi-Model Exploration Leveraging Diverse Datasets.
.- A Contrastive Meta-Learning Approach with Isotropic Sparse Decomposition for Scalable Audio-Visual Learning.
.- Audio-Based Video Segmentation for Long Duration Videos using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics.
.- Video Content Moderation in Instagram.
.- An Effective Deep Learning Model for Air-Scripted Alphabet Recognition System.
.- Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing.
.- Privacy-Preservation for Federated Learning: Survey and Future Directions.
.- Decentralized Health: Federated Deep Learning for Cervical Cytology Image Segmentation.
.- Malicious URL Detection using Artificial Intelligence Techniques.
.- Deep Forest-based Intrusion Detection System for Edge Intelligence Assisted Smart Homes.
.- Statistical Modeling of Temperature Prediction Using Residual Network.
.- Investigating Salient Object Detection Methods Tailored for Edge Computing Infrastructure.
.- A Novel and Scalable Framework for Analyzing Building Energy Efficiency.
.- Assessment on Significant SVM and MLP-Based Optimized Resource Allocation for Load Balancing.
.- An Improved and More Effective FSPC-Based Cloud Consumer Legality Process for Protected Data.
.- A Review on QoS Aware Approaches in Edge-Fog Computing Environment.
