EMPLOYING CHUNK SIZE ADAPTATION TO OVERCOME CONCEPT DRIFT

Employing chunk size adaptation to overcome concept drift

Modern analytical systems must Collections process streaming data and correctly respond to data distribution changes.The phenomenon of changes in data distributions is called concept drift, and it may harm the quality of the used models.Additionally, the possibility of concept drift appearance causes that the used algorithms must be ready for the c

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An Improved Bald Eagle Search Algorithm with Deep Learning Model for Forest Fire Detection Using Hyperspectral Remote Sensing Images

This paper presents an improved Bald Eagle Search Algorithm with Deep Learning model for forest fire detection (IBESDL-FFD) technique using hyperspectral images (HSRS).The major intention of the IBESDL-FFD technique is to identify the presence of forest fire in the HSRS images.To achieve this, the IBESDL-FFD technique involves data Skateboard pre-p

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