Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...
This reflects a shift from earlier phases of the AI boom, when advances in conversational models and features like voice ...
Abstract: This study explores a machine learning approach for detecting and classifying fetal health which is a crucial aspect in ensuring proper care and wellbeing of both fetus and the mother. The ...
This article explores how AI tools are helping researchers reduce waste, optimize experiments, and accelerate discoveries, ...
Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...
Abstract: Spaceborne GNSS reflectometry (GNSS-R) missions have been successfully launched in recent years, such as Technology Demonstration Satellite (TDS-1) in 2014, Cyclone Global Navigation ...
The two-stage AI framework for geopolymer concrete mix design significantly improves predictive accuracy, facilitating the ...
Addressing offshore construction challenges requires a multidisciplinary approach, combining pipeline engineering, ...
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 ...
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