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 ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
In the race against the "Carbon Cliff", AI is becoming an essential tool for balancing the economic equation. AI integration ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...
Revvity, Inc. (NYSE: RVTY) today announced the introduction of its forthcoming Signals Xynthetica™ Models-as-a Service (MaaS) ...
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 ...
What will truly shape the industry's landscape over the next five to ten years is not who moves the fastest, but who can move more steadily and endure longer in an increasingly complex environment.