Robot applications encompass a multitude of edge computing tasks, such as image processing, health monitoring, path planning, and infotainment. However, task scheduling within such environments ...
Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...
A European tug owner has teamed up with a research institute to use algorithms to improve tugboat scheduling in a busy German port German owner Fairplay Towage is working with Fraunhofer’s Center for ...
The U.S. SEC’s Crypto Asset Task Force is reviewing a proposal to protect digital assets against the dangers of quantum computing decryption. In a proposal submitted to the federal agency, Daniel ...
Background: The immunosuppressant tacrolimus (TAC) plays a crucial role in preventing rejection reactions after organ transplant. Due to a narrow therapeutic window, it is one of the long-term ...
Today’s energy landscape demands fundamental transformation. Utilities face multiple challenges: aging infrastructure, increasingly complex grid environments, integrating renewable energy sources, and ...
This repository contains the dataset used for the “Energy-Aware Scheduling Strategies for Partially-Replicable Task Chains on Heterogeneous Processors” article, submitted to the Elsevier Parallel ...
Abstract: An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynamically ...
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