Fog-Enabled Machine Learning Approaches for Weather Prediction in IoT Systems: A Case Study

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Bibliografski detalji
Izdano u:	Sensors vol. 25, no. 13 (2025), p. 4070-4093
Glavni autor:	İşler Buket
Daljnji autori:	Kaya, Şükrü Mustafa, Kılıç, Fahreddin Raşit
Izdano:	MDPI AG
Teme:	Turkey Istanbul Turkey Big Data Machine learning Accuracy Precipitation Humidity Deep learning Wavelet transforms Emergency preparedness Decision making Neural networks Sensors Data processing Air pollution Energy efficiency Data analysis Data collection Weather forecasting Batch processing Cloud computing Energy consumption Internet of Things Residential buildings Resource management
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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