The research identifies a key gap in current practice: the lack of integration between AI-driven operational control and ...
Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...
7don MSN
Electrohydrodynamics pump and machine learning enable portable high-performance excimer laser
According to a recent study published in APL Photonics, a research team led by Prof. Liang Xu from the Hefei Institutes of ...
Hosted on MSN
Tracking your EV, solar, and energy use with machine learning - Sense smart home interview
In this interview with Mike Phillips, CEO of Sense, learn how machine learning is utilized to track electric vehicle (EV) usage, solar energy, and overall energy consumption. Discover how this ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Through IIoT-powered insights and Hindustan Zinc’s Collaboration Centre, the company achieves record fleet uptime and energy ...
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