Abstract: The flexible soft open point (SOP) connected to active distribution networks (ADNs) offers a promising manner of improving voltage and VAR control (VVC) by providing flexible power ...

Abstract: The path planning of mobile robots is an optimization problem that is difficult to solve directly owing to its nonlinear characteristics. This letter proposes the “global–local” Coupling Two ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

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Kpower servo has officially obtained an invention patent for a side-out robot servo and its assembly method granted by the National Intellectual Property Administration of China. Addressing the ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Electric vehicle adoption continues to rise, yet the technology’s competitiveness against internal combustion engine ...

Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Researchers from Chongqing University and PowerChina developed a two-parallel cable-truss CSPS to improve torsional ...

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.