Cargando…
An Intelligent Anomaly Detection Approach for Accurate and Reliable Weather Forecasting at IoT Edges: A Case Study
Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid change we experience cause us to encounter many pr...
Autores principales: | Kaya, Şükrü Mustafa, İşler, Buket, Abu-Mahfouz, Adnan M., Rasheed, Jawad, AlShammari, Abdulaziz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007116/ https://www.ncbi.nlm.nih.gov/pubmed/36904632 http://dx.doi.org/10.3390/s23052426 |
Ejemplares similares
-
IoT and Edge Computing for Architects
por: Lea, Perry
Publicado: (2020) -
WeatherChimes: An Open IoT Weather Station and Data Sonification System
por: Woo, Winnie, et al.
Publicado: (2023) -
Hands-On Edge Analytics with Azure IoT
por: Dow, Colin
Publicado: (2020) -
Generating Datasets for Anomaly-Based Intrusion Detection Systems in IoT and Industrial IoT Networks
por: Essop, Ismael, et al.
Publicado: (2021) -
Constrained IoT-Based Machine Learning for Accurate Glycemia Forecasting in Type 1 Diabetes Patients
por: Rodríguez-Rodríguez, Ignacio, et al.
Publicado: (2023)