首页|Study Results from Federal University Pernambuco Update Understanding of Machine Learning (Quantum Machine Learning for Drowsiness Detection With Eeg Signals)
Study Results from Federal University Pernambuco Update Understanding of Machine Learning (Quantum Machine Learning for Drowsiness Detection With Eeg Signals)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating in Recife, Brazil, by Ne wsRx journalists, research stated, "Human reliability is an increasingly importa nt area in various fields for accident prevention. Monitoring human biological p arameters, such as metabolic agents, through techniques like an electroencephalo gram (EEG), data analysis can help detect patterns indicating drowsiness, a majo r cause of fatigue that may impact tasks in various industries, including oil an d gas, aviation, naval, railway, and others that involve shift work." Financial supporters for this research include Fundacao de Amparo a Ciencia e Te cnologia do Estado de Pernambuco (FACEPE), Fundacao de Amparo a Pesquisa do Esta do de Alagoas (FAPEAL), Conselho Nacional de Desenvolvimento Cientifico e Tecnol ogico (CNPQ), National Institute for Science and Technology on Quantum Informati on (INCT-IQ), Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES ), Agencia Nacional de Petroleo, Gas Natural e Biocombustiveis (ANP), Serrapilhe ira Institute, Simons Foundation, Brazilian Ministry of Science, Technology, and Innovation (MCTIC), National Health & Medical Research Council (N HMRC) of Australia, Financiadora de Inovacao e Pesquisa (Finep).
RecifeBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University Pernambuco
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