A machine learning model predicts progression independent of relapse activity (PIRA) in early multiple sclerosis. Key ...
Water leaves a memory in the land. Even after thousands of years, it lingers as faint ridges and subtle curves that only ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Researchers at Beijing Normal University used advanced machine learning and satellite imagery to map forest management ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
Abstract: This paper introduces a novel approach for enhancing haptic feedback performance in a mobile robot (MR) controller. The system measures the MR's surroundings using a LiDAR sensor. It ...
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