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Author/Affiliation: Deeptaanshu KumarOpen AccessArticle
8 Pages, 1,829 KB 
Analysis of Different Supervised Machine Learning Methods for Accelerometer-Based Alcohol Consumption Detection from Physical Activity
Abstract:
This paper builds on the realization that since mobile devices have become a common tool for researchers to collect, process, and analyze large quantities of data, we are now entering a generation where the creation of solutions to difficult real-world problems will mostly come in the form of mobile device apps. One such relevant real-life…
Read More(This article belongs to Section Interdisciplinary Applications of Computer Science (CSI))