IIETA | Advancing the World of Information and Engineering

EEG Signal Classification for Neurological Disorders Using Attention-Enhanced 1D CNN

A Machine Learning Framework for Predicting Student Placement Outcomes

EfficientNet-KNN for Real-Time Driver Drowsiness Detection via Sequential Image Processing

Blockchain-Driven Predictive Analytics for Diabetes and Cardiovascular Disease Management

Lung Mass Identification Using Tiny Deep Learning Based on Lightweight MobileNet and Raspberry Pi 5 for Low Source Medical Diagnostic

Design and Development of Automated Student Attendance Framework in Fusion of CNN, HAAR, and ResNet

EEG Signal Classification in BCI Using New Evolutionary Optimization of Instantaneous Frequency Features

Transforming Forensic Psychology and Mental Health with Neural Network-Based Emotion Recognition

Day-Ahead Solar Irradiance Forecasting Using CEEMDAN-PCC-BiLSTM Hybrid Model

AI-Driven IoT Framework for Advanced Cardiac Monitoring and Analysis

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