Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...

These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

This webinar provides insights from Pepperl+Fuchs expert who understands both the technical capabilities and business ...

You will be redirected to our submission process. Maritime transportation and offshore renewable energy systems form the backbone of sustainable ocean economies. As these infrastructures scale in ...

Discover how predictive maintenance from Comet extends rail component life, reduces downtime, and lowers lifecycle costs ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Jared Ecker is a researcher and fact-checker ...

Facilities Maintenance Services is responsible for the operation and maintenance of the physical resources and environments of the University of Nevada, Reno and campus buildings and provides guidance ...

Predictive markers are biological characteristics that are objectively measured and evaluated to predict the course of a disease or a response to a therapeutic intervention. Examples include the ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Abstract: Advanced industries such as wind turbines aim for condition-based maintenance (CBM) to enhance system availability and reach higher revenue. Hence, decision making plays an essential role in ...

Abstract: Predictive maintenance involves proactive monitoring and prediction of equipment failures to optimize maintenance schedules to minimize downtime, reduce losses, and ensure optimal equipment ...