Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
Abstract: Frequency domain spectroscopy (FDS) is widely applied in the insulation condition assessment of high-voltage generator stators. The evaluation process requires frequency–temperature ...
Most of the models are completed in a single file and implemented in a simple way. The machine learning part of the code does not use any external libraries, except for the loading part of the ONNX ...
cAustralian Red Cross Lifeblood Research and Development, Brisbane, Queensland, Australia dResearch and Development, Australian Red Cross Blood Service, Sydney, New South Wales, Australia eOffice of ...
A new AI-driven system designed to optimize energy use and resource allocation in smart agriculture has demonstrated superior performance over conventional machine learning models, according to a 2025 ...
aDepartment of Pathology & Immunology, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, Campus Box 8118, Saint Louis, MO, 63110, United States bThe F. Widjaja ...
Attention Deficit Hyperactivity Disorder (ADHD), is characterized by abnormalities in brain structure and function, particularly in the prefrontal cortex, which is associated with attention, executive ...
Abstract: The recent development of artificial intelligence (AI) has opened new avenues in processing parts per million (ppm) for fault detection through dissolved gas analysis (DGA). According to the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results