Some IVF clinics are using AI to perform tasks such as sperm and embryo selection, but some fertility experts question ...
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: The Visual Sensor Healthcare Internet of Things (VSH-IoT) enables intelligent, real-time medical analytics by integrating AI-driven image processing with distributed sensor networks. This ...
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 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...
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 ...
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