Citation: Ha NT, Manley-Harris M, Pham TD, Hawes I. A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga ...
Researchers at Purdue University have developed a system for efficient, low-cost monitoring for machine health with audio-based artificial intelligence technology. (Stock photo) Researchers at Purdue ...
Insulation condition monitoring in electrical machines is a critical component of predictive maintenance and operational reliability. With the increasing integration of advanced power electronic ...
Nothing runs as smooth as a new machine. After time, as components wear, the hum of productivity becomes the whine of a tired collection Ming Xu, Ph.D., Rockwell Automation, Integrated Condition ...
Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous metal substrates. Details of the method, developed ...
Ali Abedi (center) and the wireless soil moisture sensor with graduate student Kenneth Bundy (left) and local high school teacher Ed Lindsey (right). Monitoring soil moisture is an important component ...
Trajectories of the vehicle-borne experiment on Google earth. Panel a Presents the overall bird’s eye view of the experiment, while panels b and c are the snapshots of the vehicle starting and driving ...
Conservationists can now monitor climate impacts to expansive marine ecosystems over extended periods of time, a task that used to be impossible, using a tool developed by scientists in the U.S. The ...
Software Experts has published a comprehensive new report detailing how Avast deploys artificial intelligence and machine learning to strengthen digital security worldwide. The report outlines the ...
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