Titlebook: WITS 2020; Proceedings of the 6 Saad Bennani,Younes Lakhrissi,Youness Khamlichi Conference proceedings 2022 Springer Nature Singapore Pte L

行為

Saad Bennani,Younes Lakhrissi,Youness KhamlichiIncludes articles from the 6th International Conference on Wireless Technologies, Embedded and Intelligent Systems.Contains contributions from both industry and academia.Presents a platform for resear

委屈

A Hybrid Indoor Localization Framework in an IoT Ecosystemapplication that generate heterogeneous data. We apply a data integration approach based on REST Web service architecture to allow localization operations in this hybrid indoor positioning system (HIPS). In this work-in-progress paper, we also present a state-of-the-art survey of techniques and algo

FILTH

Prognosis

消瘦

Current Works on IDS Development Strategies for IoTis to provide a general study on IDSs implementation techniques for IoT, precisely the classical methods and also the machine learning techniques. Finally, we give some recommendations of selected works that have practiced each of the methods presented.

essential-fats

An Intelligent System Based on Heart Rate Variability Measures and Machine Learning Techniques for Cveral ML algorithms such as linear discriminant analysis (LDA), support vector machine with linear and sigmoid kernels (SVML and SVMS), random forest (RF), and RPart are used for developing intelligent system to classify normal and growth restricted children. We evaluated the performance of the clas

pacific

遺傳

An Intelligent System Based on Heart Rate Variability Measures and Machine Learning Techniques for Cveral ML algorithms such as linear discriminant analysis (LDA), support vector machine with linear and sigmoid kernels (SVML and SVMS), random forest (RF), and RPart are used for developing intelligent system to classify normal and growth restricted children. We evaluated the performance of the clas

ferment

陰郁