Abstract: With the advent of modernization, it is inevitable from various sources that there is a significant increase in the energy demand. In order to efficiently meet this demand, we need to ensure ...
WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...
Abstract: Condition monitoring and fault detection of machine-level motors are critical in industrial environments. Traditional supervised approaches, which rely on extensive labeled fault data, are ...
HEADQUARTERS IN TOWSON. WE’VE LEARNED HUMAN ERROR, SPECIFICALLY A LACK OF COMMUNICATION IS RESPONSIBLE FOR THE POLICE RESPONSE AND NOT THE AI GUN DETECTION SYSTEM. COUNCILMAN JULIAN JONES AND IZZY ...
A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...
A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...
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