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Digital Twin Application for Dynamic Task Allocation
Dynamic task allocation methods are critical in manufacturing systems due to the presence of unpredictable events in the production process (e.g.,...
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An adaptive distributed auction algorithm and its application to multi-AUV task assignment
The task assignment of multi-agent system has attracted considerable attention; however, the contradiction between computational complexity and...
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Application of embedded task system and artificial intelligence in English online courses
As we all know, voice is the most natural and convenient way for humans to communicate, and it is also one of the most direct modes of interaction...
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Multiprocessor Task Scheduling with Probabilistic Task Duration
Article concentrate on so-called multiprocessor task scheduling problem with uncertain (random) time of tasks duration. Multiprocessor scheduling can...
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Aperiodic Task Scheduling
In this chapter we present a variety of algorithms for scheduling real-time aperiodic tasksAperiodic task on a single machine environment. Each...
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A knowledge-based task planning approach for robot multi-task manipulation
Task planning is a crucial component in facilitating robot multi-task manipulations. Language-based task planning methods offer practicality in...
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A Review of Task Allocation Methods for UAVs
Unmanned aerial vehicles, can offer solutions to a lot of problems, making it crucial to research more and improve the task allocation methods used....
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Offline and online task allocation algorithms for multiple UAVs in wireless sensor networks
In recent years, UAV techniques are develo** very fast, and UAVs are becoming more and more popular in both civilian and military fields. An...
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Neural multi-task learning in drug design
Multi-task learning (MTL) is a machine learning paradigm that aims to enhance the generalization of predictive models by leveraging shared...
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Bandwidth-Deadline IoT Task Scheduling in Fog–Cloud Computing Environment Based on the Task Bandwidth
Given the huge increase of internet of things (IoT) devices and the enormous amounts of data are generated every minute. Some IoT applications needs...
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Improvement and Application of Task Scheduling Algorithm for Embedded Real-Time Operating System
Operating system scheduling algorithm is the core of modern operating system to realize multi-task function. For battery-powered embedded devices,...
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Application of Improved GRNN Algorithm for Task Man-Hours Prediction in Metro Project
In order to improve the accuracy and efficiency of subway project task man-hours prediction, a generalized regression neural network (GRNN)...
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Task Assignment for Multiple Multi-purpose Unmanned Aerial Vehicles Using Greedy Algorithm
Unmanned aerial vehicle fleets demand effective task assignment since the task scope of each vehicle depends on the task-specific equipment it...
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Deep reinforcement learning-based joint optimization model for vehicular task offloading and resource allocation
With the rapid advancement of Internet of vehicles and autonomous driving technology, there is a growing need for increased computing power in...
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Online Capability Based Task Allocation of Cooperative Manipulators
The cooperative manipulator group can accomplish complex and heavy payload tasks of object manipulation and transportation compared to a single...
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Safety- and Task-Drop-Aware Mixed-Criticality Task Scheduling
In Mixed-Criticality (MC) systems, a fault may occur due to different reasons, e.g., hardware defects, software errors, or the arrival of unexpected...
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Periodic Task Scheduling
In many real-time control applications, periodic activities represent the major computational demand in the system. Periodic tasks typically arise...
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Reinforcement learning-based multi-objective energy-efficient task scheduling in fog-cloud industrial IoT-based systems
The advancement of Industrial Internet of Things (IIoT) applications has increased the demand for efficient and energy-aware task scheduling in...
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Development of a new task scheduling in cloud computing
Several toolkits are in use to execute cloud applications for technology development. Workflow Sim Toolkit is one of them. It captures the flow of...
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Profit optimized task scheduling for vehicular fog computing
Vehicular fog computing has emerged as a promising paradigm that provisions computing at the network edge and alleviates the computation workload of...
