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This proceedings book offers a refined and comprehensive exploration of cutting-edge advancements in communication networks, computational intelligence, and smart applications, seamlessly blending theoretical insights with practical solutions.
.- 1 Enhancing the Prediction and Classification Performance of Alzheimer Diseases using Voting Rule of Ensemble Learning.- 2 Deep Learning based AI Diagnostic Open API Architecture for Healthcare Applications.- 3 Mathematical Model-Driven Multi-Channel Matrix-based ECG Signal Features Transformation: Impact on Deep Learning Classification of Cardiac Arrhythmia.- 4 Enhancing Lung Disease Detection using DCGAN-Augmented Chest X-Ray Images for CNN Training.- 5 Transforming Multi-Lead ECG Signals into Gramian Angular Field Images for Enhanced Cardiovascular Disease Classification with Hybrid Deep Learning Models: A Case Study on Arrhythmia, etc.