Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Like Aguilar, Mensah thought he was coming to play for one team and instead landed with something far different. Duke won ...

AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.

From Localized Systems to Global Ecosystems: Supply chains are now digitally interconnected. Cloud platforms enable ...

Objective To investigate the occurrence of unintentional injuries among children aged 3 to 12 in China over the past 5 years, and to provide a scientific basis for the prevention and control of such ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Machine Learning have been presented. The news correspondents obtained a quote from the research from Texas State ...