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Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns.

, , , and . UbiComp/ISWC Adjunct, page 770-777. ACM, (2018)

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Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns., , , and . UbiComp/ISWC Adjunct, page 770-777. ACM, (2018)Scalable and practical One-Pass clustering algorithm for recommender system., , , and . Intell. Data Anal., 21 (2): 279-310 (2017)Recommender Systems for MOOCs: A Systematic Literature Survey (January 1, 2012 – July 12, 2019), , and . The International Review of Research in Open and Distributed Learning, 21 (4): 255--291 (June 2020)Online Learning Path Recommender System for MOOCs., , , and . EDUCON, page 1-10. IEEE, (2023)ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities., , , , and . Sensors, 19 (11): 2466 (2019)Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing., , , , and . EUSPN/ICTH, volume 113 of Procedia Computer Science, page 202-209. Elsevier, (2017)A scalable and practical one-pass clustering algorithm for recommender system., , , and . ICMV, volume 9875 of SPIE Proceedings, page 987526. SPIE, (2015)A literature review of implemented recommendation techniques used in Massive Open online Courses., , and . Expert Syst. Appl., (2022)Using Smartphone Accelerometer for Human Physical Activity and Context Recognition in-the-Wild., , , , , and . EUSPN/ICTH, volume 177 of Procedia Computer Science, page 24-31. Elsevier, (2020)Identifying Users with Wearable Sensors based on Activity Patterns., , , , , and . EUSPN/ICTH, volume 177 of Procedia Computer Science, page 8-15. Elsevier, (2020)