id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajsts-2912	Qawqzeha, Yousef	Addressing Class Imbalance in IoT: A Comparative Analysis of Resampling Techniques	2025	10	.pdf	application/pdf	5385	309	42	Class imbalance has been a significant challenge in machine learning applications, particularly when working with substantially disparate distributions like those found in Internet of Things datasets. However, class imbalance in the datasets has been one of the main obstacles to fully utilising the potential of IoT data.	cache/ajsts-2912.pdf	txt/ajsts-2912.txt