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 ...
Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Abstract: Effective earthquake early warning (EEW) relies on accurate and rapid signal detection. This letter presents PWaveSense- a real-time earthquake detection framework using distributed acoustic ...
A production-ready machine learning service for intent classification built with Python Flask and deployed on Amazon EKS (Elastic Kubernetes Service). This project demonstrates best practices for ...
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