首页|Studies from Beijing Jiaotong University Update Current Data on Machine Learning (Predictability of Driver’s Stop/go Decisions At Flashing-light-controlled Grad e Crossings By Coupling Functional Brain Network and Deep Learning Methods)
Studies from Beijing Jiaotong University Update Current Data on Machine Learning (Predictability of Driver’s Stop/go Decisions At Flashing-light-controlled Grad e Crossings By Coupling Functional Brain Network and Deep Learning Methods)
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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 from Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “Detecting and predicting the stop /go decisions of drivers at grade crossings is crucial for enhancing road safety .Electroencephalography (EEG) data, which provides direct and effective physiol ogical indicators for recognizing driver states, combined with associated machin e-learning techniques, can be used to monitor driver decisions.”Funders for this research include Fundamental Research Funds for the Central Uni versities, National Natural Science Foundation of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aCyborgsDiagnostics and ScreeningElectroencephalographyEmerging Technolo giesHealth and MedicineMachine LearningBeijing Jiaotong University
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