The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...
A team of international researchers, including an Aston University researcher, has cracked the code on how "breather" laser ...
The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion ...
Integrating MCDA, CE, LCA, and ANN, this research evaluates bio-based retrofitting approaches, promoting sustainability in ...
Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in Precision Lens Manufacturing. World Journal of Engineering and Technology, ...
Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty. Hybrid; Amsterdam , Noord-Holland , Netherlands; Aerosp ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...
The 100% online Graduate Certificate in Systems equips professionals with essential skills to analyze and solve complex problems using systems thinking. Across industries such as engineering, ...
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