id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
alkej-932	فاضل, هبه; Fadhil, Heba ; Manickam, Selvakumar 	Efficient Multitask Scheduler for Heterogeneous Workloads with Varying Instruction Counts	2025	10	.pdf	application/pdf	5298	277	42	Task scheduling uses artificial intelligence algorithms based on neural networks and reinforcement learning models, but it demands large training datasets and produces high computational requirements. Different approaches for scheduling tasks exist today as static and dynamic algorithms with separate strengths and matching performance constraints .	cache/alkej-932.pdf	txt/alkej-932.txt