2,013 Result(s)
within
English
Computer Science
Yi**ang Chen
Chapter
Conference Paper
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Chapter and Conference Paper
Research on Data Acquisition and Real-Time Communication for Intelligent Manufacturing Training Equipment Based on Model of Things and Intranet Penetration
Intelligent Manufacturing Training Equipment (IMTE) are featured with high-value shareable training property and high security requirement on human-machine interaction, which prompt urgent demands on equipment...
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Chapter and Conference Paper
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective manageme...
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Chapter and Conference Paper
Machine Learning-Driven Reactor Pressure Vessel Embrittlement Prediction Model
The application of machine learning in the nuclear field has been considered for the prediction of neutron irradiation embrittlement of reactor pressure vessel (RPV) steels in recent years. In this study, the ...
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Chapter and Conference Paper
FFANet: Dual Attention-Based Flow Field Aware Network for 3D Grid Classification and Segmentation
Deep learning-based approaches for three-dimensional (3D) grid understanding and processing tasks have been extensively studied in recent years. Despite the great success in various scenarios, the existing app...
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Chapter and Conference Paper
An Improved Trajectory Planning Method for Unmanned Aerial Vehicles in Complex Environments
Trajectory planning plays a crucial role in the execution of Unmanned aerial vehicle (UAV) missions. However, planning an optimal collision-free trajectory is a challenging task, especially in complex environm...
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Chapter and Conference Paper
LenANet: A Length-Controllable Attention Network for Source Code Summarization
Source code summarization aims at generating brief description of a source code. Existing approaches have made great breakthroughs through encoder-decoder models. They focus on learning common features contain...
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Chapter and Conference Paper
Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial
Monocular depth estimation is a key issue in the field of computer vision. The unsupervised learning framework has the advantage of not requiring data labels, and has become a hot research topic. Currently, mo...
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Chapter and Conference Paper
Practical Teaching Reform of Cybersecurity Courses Incorporating Personalized Recommendations
In recent years, with the development of cyber security, the national demand for cybersecurity-related professionals is growing, and the practice of cyber security related practices is increasing, which makes ...
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Chapter and Conference Paper
Vehicle Edge Computing Network Service Migration Strategy Based on Multi-agent Reinforcement Learning
In order to address the decision-making problem in vehicular edge computing networks, this paper presented a vehicle edge computing service migration strategy based on multi-agent deep learning. This strategy ...
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Chapter and Conference Paper
Research on Improving Higher Education Exam Quality Based on Weighted k-Medoids Clustering
Exam is the most effective method to evaluate the quality of higher education, and improving higher education exam quality is of paramount importance. Traditional methods of analyzing and improving higher educ...
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Chapter and Conference Paper
Efficient Lightweight Network with Transformer-Based Distillation for Micro-crack Detection of Solar Cells
Micro-cracks on solar cells often affect the power generation efficiency, so this paper proposes a lightweight network for cell image micro-crack detection task. Firstly, a Feature Selection framework is propo...
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Chapter and Conference Paper
AMCNet: Adaptive Matching Constraint for Unsupervised Point Cloud Registration
The registration of 3D point cloud with numerous applications in robotics, medical imaging and other industries. However, due to the lack of accurate data annotation, the performance of unsupervised point clou...
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Chapter and Conference Paper
A CNN-Based Real-Time Dense Stereo SLAM System on Embedded FPGA
Simultaneous localization and map** (SLAM) is the task to estimate agent’s ego-motion in the map and reconstruct the 3D geometric of an unknown environment in parallel. Although many SLAM algorithms have bee...
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Chapter and Conference Paper
Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals
At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation betwee...
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Chapter and Conference Paper
COVER: A Heuristic Greedy Adversarial Attack on Prompt-Based Learning in Language Models
Prompt-based learning has been proved to be an effective way in pre-trained language models (PLMs), especially in low-resource scenarios like few-shot settings. However, the trustworthiness of PLMs is of param...
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Chapter and Conference Paper
Exploring the Establishment and Implementation of a Teaching Evaluation System Based on Value-Added Assessment
Value-added assessment (VAA) can effectively solve the existing problems of the excess of outcome-oriented evaluations and the lack of teaching evaluation feedback mechanisms in higher education, which plays a...
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Chapter and Conference Paper
CERender: Real-Time Cloud Rendering Based on Cloud-Edge Collaboration
With the maturity of cloud computing and the rise of edge computing, real-time cloud rendering technology has received widespread attention for its ability to solve the problem of low-power mobile devices. Clo...
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Chapter and Conference Paper
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Containers are quickly gaining popularity in cloud computing environments due to their scalable and lightweight characteristics. However, the problem of Resource Allocation in Container-based clouds (RAC) is m...
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Chapter and Conference Paper
Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior
Magnetic resonance imaging (MRI) is commonly used for studying infant brain development. However, due to the lengthy image acquisition time and limited subject compliance, high-quality infant MRI can be challe...
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Chapter and Conference Paper
Ergonomic Improvement and Simulation Analysis of Armrests for Uncomfortable Working Environments
With the prevalence of portable laptops, the limitations of computer workstations are gradually diminishing, and any location furnished with a desk and chair can now function as a workspace. However, it must b...
