IIETA | Advancing the World of Information and Engineering

EEGNet: Detection and Diagnosis of EEG Signals for Epilepsy Disease Using Weighted Empirical Mode Decomposition and EEGNet Architecture

A Novel Activity Pattern Recognition via Convolutional Neural Networks and Advanced Skeleton Models

Analysis of Face Emotion Identification and Recognition Using State-of-the-Art Deep Learning Models

Enhanced Signal Processing-Based Load Forecasting in Smart Grids Using Artificial Neural Networks and Heuristic Optimization

Determination of Inter-Channel Interactions in EEG Sub-Frequency Bands Based on Coherence Analysis and Neural Networks During the Audiological Test Process

A Hybrid Clustering Approach: Segmentation and Classification of Brain Tumour Utilizing SVM and CNN Methods

Privacy Preservation of Medical Images Through Synthesized Federated Learning Framework in Healthcare

MRI Image Linked Pixel Edge Segmentation with Least Correlated Weight Factor for Lung Tumor Identification Using Machine Learning Technique

Enhancing Brain Anomaly Pre-Diagnosis with Traditional Artificial Intelligence and Popular Deep Learning Models: A Comparative Analysis

Signal Detection in Non-Cooperative Communications Using Federated Deep Learning

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