LLMs can identify major depressive disorder via voice note recordings

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
IEEE

Machine Learning Algorithm for Predicting Crime Type and Occurrence

Abstract: Crime is a widespread problem that upsets social harmony and presents serious difficulties for law enforcement. Effective crime prevention and resource allocation depend on an understanding ...
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Medical LLMs may show real-world potential in identifying individuals with major depressive disorder using WhatsApp voice note recordings

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...
IEEE

Robotic Grasp Detection via Residual Efficient Channel Attention and Multiscale Feature Learning

Abstract: Current robotic grasp detection methods frequently exhibit limited accuracy due to inadequate attention to critical object features and inefficient utilization of multiscale object ...