美國National Center for Atmospheric Research (NCAR) 與University of Colorado at Boulder (CU)研究人員研發了上述稱之為智慧型異常偵測運算法(Intelligent Outlier Detection Algorithm. IODA) 的專利技術,論文發表於二月份的Journal of Atmospheric and Oceanic Technology。
但這還不夠,科學家總是能想到更奇葩的需求:未來,你的手機也有機會變身「大麻檢測器」了!羅格斯大學健康暨健康政策與高齡研究所(Rutgers Institute for Health, Health Care Policy and Aging Research)研究團隊,調查大麻使用者的「嗨度」,並將其與機器學習技術做結合,試圖打造能準確判斷大麻中毒程度的日常小工具。
Sang Won Bae et al. (2021) Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings. Drug and Alcohol Dependence.
Bae et al. (2018) Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions. Addictive Behaviors
美國National Center for Atmospheric Research (NCAR) 與University of Colorado at Boulder (CU)研究人員研發了上述稱之為智慧型異常偵測運算法(Intelligent Outlier Detection Algorithm. IODA) 的專利技術,論文發表於二月份的Journal of Atmospheric and Oceanic Technology。
美國National Center for Atmospheric Research (NCAR) 與University of Colorado at Boulder (CU)研究人員研發了上述稱之為智慧型異常偵測運算法(Intelligent Outlier Detection Algorithm. IODA) 的專利技術,論文發表於二月份的Journal of Atmospheric and Oceanic Technology。