首页|Reports from Department of Computer Sciences Add New Data to Findings in Computa tional Intelligence (Energy-efficient and Interpretable Multisensor Human Activi ty Recognition Via Deep Fused Lasso Net)
Reports from Department of Computer Sciences Add New Data to Findings in Computa tional Intelligence (Energy-efficient and Interpretable Multisensor Human Activi ty Recognition Via Deep Fused Lasso Net)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have beenpublished. According to news reportin g originating in Wuhan, People’s Republic of China, by NewsRxjournalists, resea rch stated, “Utilizing data acquired by multiple wearable sensors can usually gu aranteemore accurate recognition for deep learning based human activity recogni tion. However, an increasednumber of sensors bring high processing cost, influe ncing real-time activity monitoring.”
WuhanPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningDepartment of Computer Sciences
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