Machine learning approach of detecting anomalies and forecasting time-series of IoT devices-Reference-Cited by-同舟云学术

Machine learning approach of detecting anomalies and forecasting time-series of IoT devices

Published:2022-11 Issue:11 Volume:61 Page:8973-8986
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Malki Amer,Atlam El-Sayed,Gad Ibrahim

Publisher

Elsevier BV

Subject

General Engineering

Reference40 articles.

1. Anomaly detection based on machine learning in IoT-based vertical plant wall for indoor climate control;Liu;Build. Environ.,2020

2. Internet of things for smart cities;Zanella;IEEE Internet Things J.,2014

3. Energy consumption prediction using machine learning: A review;Mosavi;Preprints 2019,2019

4. Reliability analysis of IoT systems with competitions from cascading probabilistic function dependence;Zhao;Reliab. Eng. Syst. Saf.,2020

5. Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities;Zekić-Sušac;Int. J. Inf. Manage.,2020

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive threshold based outlier detection on IoT sensor data: A node-level perspective;Alexandria Engineering Journal;2024-11

2. Enhancing Anomaly Detection in Critical Systems Using Household Appliance Power Consumption Data;IEEE Sensors Journal;2024-09-01

3. A Machine Learning-Based Temperature Control and Security Protection for Smart Buildings;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

4. Hybrid Deep Learning Modelfor Enhancing the Streaming Efficiency of 6G Enabled Massive IoT Systems;Wireless Personal Communications;2024-06-17

5. Detecting faults in the cooling systems by monitoring temperature and energy;Energy Informatics;2024-06-17