The University Class scheduling Problem stands as a pivotal and intricate challenge within academia. A proficient university timetable holds the key to seamless academic operations, necessitating the delicate balance ...
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Adaptive protocols that react to shifting network and ambient conditions have been developed in response to the Internet of Things' (IoT) increasing need for effective communication. The MQTT protocol is used in t...
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Urban traffic congestion not only increases fuel consumption and pollution but also causes inconvenience to residents. Although traditional physical traffic light systems provide a certain solution, their reliance on ...
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Cache data plays a crucial role in the operation of the power system. In practical applications, the demand for retrieval and queries has surged due to the vast amount of terminal data collected throughout the provinc...
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Modern computer systems offer some type of parallelism and use restricted resources. Parallel jobs require more than one processor at the same moment of time. Processors may operate at variable speeds. Running a job a...
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The rapid development of cloud computing has attracted a diverse migration of applications. Serverless computing, with its abstract resource management, on-demand billing, and dynamic scaling, has become a popular clo...
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The integration of fog computing with cloud service reduces transmission times to ensure that Internet of Things (IoT) devices satisfy deadline-aware tasks. Existing researches focus on the effective reduction of task...
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In order to make the scheduling of tasks to be executed by intelligent agents more flexible and reasonable, a method for adjusting intelligent scheduling tasks based on graph neural networks and adaptive weights is pr...
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Traditional charging stations often suffer from inefficiencies when fully charged vehicles occupy charging infrastructure, reducing resource utilization. In response, we introduce an intelligent, unmanned parking and ...
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Aiming at the problem that the commonly used scheduling algorithm in the process of intelligent scheduling of agricultural machinery are easy to fall into local optimum, a multiple agricultural machinery scheduling op...
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