首页|Recent Findings from University of Salerno Provides New Insights into Machine Le arning (Situation Identification In Smart Wearable Computing Systems Based On Ma chine Learning and Context Space Theory)

Recent Findings from University of Salerno Provides New Insights into Machine Le arning (Situation Identification In Smart Wearable Computing Systems Based On Ma chine Learning and Context Space Theory)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Fisciano, Italy, by New sRx journalists, research stated, "Wearable devices and smart sensors are increa singly adopted to monitor the behaviors of human and artificial agents. Many app lications rely on the capability of such devices to recognize daily life activit ies performed by the monitored users in order to tailor their behaviors with res pect to the occurring situations." Funders for this research include Ministry of Education, Universities and Resear ch (MIUR), Ministry of Education, Universities and Research (MIUR).

FiscianoItalyEuropeCyborgsEmergi ng TechnologiesMachine LearningUniversity of Salerno

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.3)