IEEE

Optimizing MEMS Optical Arrays with Silicon Micro Mirrors using Machine Learning Techniques

Abstract: In the rapidly evolving landscape of optical microsystems, the infusion of Machine Learning (ML) techniques stands out as a catalyst for unprecedented progress. This research paper delves ...
IEEE

Optical Frequency Comb-Based Aerostatic Micro Pressure Sensor Aided by Machine Learning

Abstract: Although the whispering gallery mode (WGM) microcavity sensor is known for its high sensitivity, conventional monitoring using single-mode methods poses challenges in detecting very low ...
Frontiers

Early risk detection of metabolic syndrome using sex-specific machine learning models in military personnel

Metabolic syndrome is a critical predictor of future cardiometabolic disease and an emerging public health concern, particularly in high-demand populations such as military personnel. This study aimed ...
Microgrid Knowledge

Squeezing Water from Air? New Collaboration Looks to Generate Clean Water for America’s Military

The U.S. Army Research and Development Center (ERDC) announced a three-year Cooperative Research and Development Agreement (CRADA) with AirJoule Technologies to develop a reliable and resilient water ...