The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...
Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...
Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal behaviors in real time and immediately interact with the animals’ brain ...
Abstract: Aim: This study aims to compare Convolutional Neural Networks (CNN) and K-Nearest Neighbors (KNN) within the Floraspeak system in a bid to enhance the usability and accuracy of flower ...
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