A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Abstract: This paper proposes a frequent pattern data mining algorithm based on support vector machine (SVM), aiming to solve the performance bottleneck of traditional frequent pattern mining ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: Personal identification using gait sound has emerged as an intriguing and promising alternative to traditional authentication methods such as facial recognition and fingerprint scanning.