Researchers have introduced MinerSweeper, an open-source software tool that automates business process discovery pipelines by orchestrating preprocessing, algorithm selection, and ...
Researchers have introduced Adaptive Context and Relation Enhanced Deep Reinforcement Learning (ACRE-DRL) for multi-objective dependent task scheduling in heterogeneous distributed ...
Researchers developed sustainable AZ91D magnesium hybrid composites reinforced with fish bone and seashell ashes, improving structural integrity and machining efficiency.
Researchers developed a hybrid workflow scheduling algorithm that significantly improves efficiency, execution cost, and virtual machine utilization in fog computing ...
A systematic Taguchi and ANOVA investigation reveals how spindle speed, feed rate, and sheet thickness govern thrust force, torque, and ...
A modular path-planning framework called LKSD-PRRT* achieved a 100% static planning success rate and cut dynamic recovery time by 77.25% ...
Researchers developed an Artificial Pedosphere Intelligence framework that uses graph networks and multi-objective optimization to predict soil microbial homeostasis.
Researchers have reported an improved multi-objective particle swarm optimization algorithm, called MCMOPSO, that integrates a density-morphology archive maintenance method with ...
On a primary synthetic benchmark, landscape-aware ant colony optimization reduced modeled conflict by 31.1% for a 13.9% increase in route ...
A computational comparison found that two moderately thick aluminum L-shaped fins gave the best tested charging–discharging balance for a rectangular ...
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