IIETA | Advancing the World of Information and Engineering

Improving Predictions of Renewable Energy Systems with the Application of Machine Learning Integrated with Explainable AI

Combustion of Granulated Solid Fuels and Wood and Domestic Waste Processing: A Comprehensive Review

Leveraging Machine Learning Models for Accurate Global Solar Irradiance Prediction in Jerusalem, Palestine

Optimization of Bioethanol Production from Unripe Jackfruit (Artocarpus heterophyllus Lam.) Pulp Starch Using Response Surface Methodology

Hybrid Community-Driven Influence Maximization in Large Social Networks

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

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