Sometime that fastest way to watch a long video is to not watch it but let AI help you read or summarize what it has to say.
Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
ABSTRACT: Acute Lymphoblastic Leukemia (ALL), a highly aggressive subtype of blood cancer, demands early and accurate diagnosis to improve patient outcomes. Traditional diagnostic methods relying on ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...
SALT LAKE CITY — A pair of Utah lawmakers in Washington are pushing to amend a nearly 30-year-old law governing online communications to hold technology companies accountable for harms caused by ...
Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...
Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...
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