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Subtask-learning based for robot self-assembly in flexible collaborative assembly in manufacturing
In recent years, human-robot collaboration has been introduced into production systems as a new generation of production modes, and robot learning...
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DRL-based dependent task offloading with delay-energy tradeoff in medical image edge computing
Task offloading solves the problem that the computing resources of terminal devices in hospitals are limited by offloading massive radiomics-based...
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Igtracker: task and instance information gaps in multiple object tracking
Pedestrian multiple object tracking targets to track multiple pedestrian instances in real-time. Recently, the methods based on joint detection and...
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Large-scale hybrid task scheduling in cloud-edge collaborative manufacturing systems with FCRN-assisted random differential evolution
Manufacturing systems develop toward cloud-edge collaboration where manufacturing and computation are tightly coupled. Under this circumstance,...
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Multi-task learning with self-learning weight for image denoising
BackgroundImage denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional...
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Suture Loo** Task Pose Planner in a Constrained Surgical Environment
We present a task pose planner for a robustly safe automation of suture loo** tasks in robotic assisted minimally invasive surgery (RAMIS). Our...
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Integrated task sequence planning and assignment for human–robot collaborative assembly station
Human–robot collaborative assembly (HRCA) can give full play to their respective advantages and significantly improve assembly efficiency. Rational...
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Research on Joint Material Supply Task Scheduling Algorithm Under Unmanned In-the-Loop Material Supply System
The ever-growing advancements in unmanned and intelligent technologies have resulted in a notable increase in the utilization of unmanned equipment...
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A Review of Classical and Learning Based Approaches in Task and Motion Planning
Robots are widely used in many tedious and simple works. But, with the advance of technology, they are expected to work in more complex environments...
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Bio-Inspired Crossover Cosine Swarm Optimization Algorithm Based Task Scheduling for Quality of Service Improvement Under Cloud Environment
Cloud computing has developed into a critical information technology utility in the Internet age. It allows data exchange and on-demand service...
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Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning
Social media platforms such as Twitter and Facebook have become popular channels for people to record and express their feelings, opinions, and...
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Dynamic voltage scaling based energy-minimized partial task offloading in fog networks
With the dynamic voltage scaling (DVS) technology, the terminal node (TN) can dynamically adjust its computational speed, thus providing a new way to...
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The effects of complex assembly task type and assembly experience on users’ demands for augmented reality instructions
Compared to traditional techniques, augmented reality (AR) confers notable benefits in facilitating complex product assembly processes. The efficacy...
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Real-Time Task Models
In safe-critical real-time systems, it is required that the timing constraints must be respected under any circumstance at runtime. To provide such...
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Extensive Feature Analysis and Baseline Model for Stance Detection Task
Identifying and curtailing the spread of fake news is a complex and challenging task. Automated stance detection can be an important first step in...
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A review of validation methods for building energy modeling programs
Building energy simulation analysis plays an important supporting role in the conservation of building energy. Since the early 1980s, researchers...
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5G network education and smart campus based on heterogeneous distributed platform and multi-scheduling optimization
In order to build a high-efficiency intelligent education system, this paper combines the current hottest 5G network de-networking construction...
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A Situation Awareness Simulation Calculation Method for Pilot Performance Modeling
The human performance of the pilot status during flight missions is an important factor affecting the flight safety. Due to the lag of experimental...
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Event detection based on the label attention mechanism
Event detection is an important subtask of event extraction. The goal of event detection (ED) is to detect the occurrences of events and categorize...
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Modeling of an Edge Computing Cluster for Optimized Distribution of Tasks in Production Environments
Due to the digitalization of production, a vast amount of data is being generated that, through analysis and processing, offers new opportunities for...