IIETA | Advancing the World of Information and Engineering

AI-Powered Multi-Class Brain Tumor Classification Using PSO-Optimized Deep Learning

Shape-Guided Kidney Extraction Using Shape-Oriented Convolutional Auto-Encoder-Enhanced U-Net: A Deep Learning Benchmark Study

Cost–Reliability-Aware Multi-Workflow Scheduling Using Multi-Agent Deep Reinforcement Learning in Edge–Cloud Systems

Retinal Image-Based Prediction of Chronic Kidney Disease Using a Hybrid Multimodal Deep Learning Framework

Integrated Seismic Risk Modelling and Parametric Disaster Financing in Indonesia Using Probabilistic Hazard Analysis, Machine Learning, and Actuarial Simulation

A Hybrid CNN–LSTM Framework for Spatiotemporal Modeling of EEG Signals in Epileptic Seizure Prediction

An Explainable Hybrid Long Short-Term Memory and Extreme Gradient Boosting Framework for Daily Stock Price Forecasting with Contextual Latent Features

A Structurally Interpretable Hybrid Multi-Head TD3 Framework for Stable and Adaptive Traffic Signal Control

Enhancement of Robotics Networks Cooperative Based on Route Planning and Target Detection for Unmanned Aerial Vehicles and Autonomous Surface Vehicles

A Non-Homogeneous Poisson Process Software Reliability Growth Model with Imperfect Debugging via Hybrid Neural Network–Crow Optimization Parameter Estimation

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