E-raamat: Computing, Communication and Learning: Third International Conference, CoCoLe 2024, Warangal, India, September 13-15, 2024, Revised Selected Papers

.- 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.