首页|Research Results from Purdue University Update Understanding of Machine Learning (A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions)

Research Results from Purdue University Update Understanding of Machine Learning (A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsoriginating from West Lafaye tte, Indiana, by NewsRx editors, the research stated, “Detecting anomalies inhu man activities is increasingly crucial today, particularly in nuclear family set tings, where there may notbe constant monitoring of individuals’ health, especi ally the elderly, during critical periods. Early anomalydetection can prevent f rom attack scenarios and life-threatening situations.”

Purdue UniversityWest LafayetteIndia naUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMa chine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(MAY.2)