A physics-informed spatiotemporal graph neural network for photovoltaic power forecasting and micro-anomaly localization

DMTC-Net: Deep Multi-Task Restoration Network for Fundus Image Enhancement and Scatter Estimation

A Physics-Informed Neural Network Framework for Modeling and Optimization of Biomass–Plastic Co-Pyrolysis Systems

Multi-Objective Optimization of Hybrid MSF–RO Desalination Systems under Dynamic Operating Conditions Using Thermodynamics-Guided Surrogate-Assisted Reinforcement Learning

Ai-augmented prediction and optimization of thermal performance in PCM-integrated concrete roofs for desert buildings

AI-Assisted Optimization of a Hybrid Renewable Energy System for Semi-Arid Regions Using Multi-Source Engineering Data