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Chapter Three - Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions.

, , , , , , , , , , , and . Adv. Comput., (2024)

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Intrusion Detection using Machine Learning Techniques: An Experimental Comparison., , , , , , , and . CoRR, (2021)Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems., , , and . Knowl. Based Syst., (November 2023)Chapter Three - Indoor localization technologies for activity-assisted living: Opportunities, challenges, and future directions., , , , , , , , , and 2 other author(s). Adv. Comput., (2024)On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems., , and . BIBE, page 392-396. IEEE, (2019)Monitoring Discrete Activities of Daily Living of Young and Older Adults Using 5.8 GHz Frequency Modulated Continuous Wave Radar and ResNet Algorithm., , , , , , , , and . BODYNETS, volume 420 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 28-38. Springer, (2021)ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems., , and . UCET, page 1-4. IEEE, (2019)Intrusion Detection and Attack Classification Leveraging Machine Learning Technique., , , , , , and . IIT, page 198-202. IEEE, (2020)