A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
A new technical paper titled “Aging Aware Steepening of the Fault Coverage Curve of a Scan Based Transition Fault Test Set” ...
A team from the Universitat Politècnica de València (UPV) has led the development of a new sensor capable of quickly and ...
Morning Overview on MSN
Nuclear weapons tests: The physics that makes them so hard to hide
Nuclear weapons tests are among the most violent events humans can trigger, and that violence leaves fingerprints in the ...
Motive, the AI platform for physical operations, today launched AI Dashcam Plus, a first-of-its-kind dash cam that brings ...
Saeed Mohammed Al Tayer, MD and CEO of Dubai Electricity and Water Authority (DEWA), announced that DEWA’s Research and ...
For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...
Abstract: Fault detection in distributed parameter systems (DPSs) is crucial for ensuring the reliability and safety of industrial processes. However, DPSs are governed by complex nonlinear partial ...
Abstract: Predictive maintenance is essential for ensuring the reliability and efficiency of wind energy systems. Traditional deep learning models for sensor fault detection rely solely on data-driven ...
Fix It Homestead on MSN
How to tell if your smoke detector is past its real lifespan even if it still beeps
Your smoke alarm’s chirp can be oddly reassuring, a small sound that suggests everything is still working. Yet the device ...
Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive maintenance.
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