The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...

A hybrid geothermal-biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization. Using exergy analysis and particle swarm optimization, the ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

Researchers in China have developed a reconfigurable intelligent surface (RIS) that harvests energy from enemy radar.

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

What if urban air taxis could, like birds, vary the configuration of their wings in flight? The answer to such questions could soon become reality through morphing wing technology assisted by ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

In the race against the "Carbon Cliff", AI is becoming an essential tool for balancing the economic equation. AI integration ...

China's manufacturing upgrade plan 2026 outlines MIIT’s roadmap for smarter digitalized production. Explore key features and ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...