Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

Abstract: DC microgrids (DCMGs) are made up of a network of sources and loads that are connected by a number of power electronic converters (PECs). The increase in the number of these PECs instigates ...

Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

The firefly algorithm (FA) is a nature-inspired metaheuristic optimization algorithm developed by Xin-She Yang that is inspired by the flashing behavior of fireflies (Yang, 2008), originally designed ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

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Long-term motor recovery after musculoskeletal alteration relies on gradually developing novel compensatory movements to overcome the rigid, maladaptive timing of stable muscle synergies.

Ford rehired veteran engineers after AI quality systems fell short, showing why expert oversight still matters in high-stakes automation. If you can only read one tech story a day, this is it. We use ...

Background Congenital aortic stenosis (ConAoS) accounts for approximately 4%–8% of all congenital heart diseases. Chronic ...

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