36,384 Result(s)
within
Chapter
**mo Wang
Computer Science
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Chapter and Conference Paper
Deployment and Comparison of Large Language Models Based on Virtual Cluster
[Objective] Currently, large language model (LLM) is one of research highlights in the field of natural language processing. This paper selected some open-source LLMs for deployment and comparison from the perspe...
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Chapter and Conference Paper
Updates and Experiences of VenusAI Platform
[Objective] This paper presents an overview introduction of the VenusAI platform, focusing on its technical updates and sharing the experiences gained since its deployment. The objective is to highlight the platf...
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Chapter
Conclusion and Future Directions
In previous chapters, we have presented our observations and results on mobile data dynamics in heterogeneous wireless networks, from four aspects: the cause, description, governing rule, and impact, respectiv...
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Chapter
Digital Twins Technologies
This chapter of “Digital Twin Technologies in Transportation Infrastructure Management” focuses on Digital Twin technologies and their various aspects. The chapter begins by discussing the different types of D...
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Chapter
Digital Twin in TIM
This chapter of “Digital Twin Technologies in Transportation Infrastructure Management” focuses on the use of digital twin technology in TIM. The chapter begins with an introduction to digital twin in TIM, inc...
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Chapter
Digital Twins in Operation and Maintenance(O&P)
This chapter of “Digital Twin Technologies in Transportation Infrastructure Management” focuses on the role of Digital Twins in the operation and maintenance of transportation infrastructure. The chapter start...
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Chapter and Conference Paper
RDBlab: An Artificial Simulation System for RDBMSs
With the development of cloud database, the simulation system of RDBMSs become increasing important for avoiding database failures. For example, a simulation system could hypothetically collect the database kn...
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Introduction to Digital Twin Technologies in Transportation Infrastructure Management (TIM)
This chapter of “Digital Twin Technologies in Transportation Infrastructure Management” provides an introduction to the concept of Digital Twin in the context of Infrastructure Management. The chapter begins b...
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Chapter
Transportation Infrastructure Management
This chapter of “Digital Twin Technologies in Transportation Infrastructure Management” explores Transportation Infrastructure Management (TIM) in detail. The chapter begins by providing an overview of the var...
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Chapter
Digital Twins in Design and Construction
Digital twins are gaining attention in the construction industry, as they offer several benefits such as reducing risks, improving quality, and enhancing productivity. This chapter explores the application of ...
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Chapter and Conference Paper
Prediction and Analysis of Multiple Causes of Mental Health Problems Based on Machine Learning
To prevent other types of mental health problems from being misclassified as depression, as well as to remedy the problem of inadequate resources for mental health consultations. This study first analyzes the ...
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Chapter
Future Digital Twin in Infrastructure Management
In this chapter, “Future Digital Twin in Infrastructure Management,” discusses the advancements and potential future developments of digital twin technology in the field of infrastructure management. The chapt...
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Chapter and Conference Paper
Strict Differentially Private Support Vector Machines with Dimensionality Reduction
With the widespread data collection and processing, privacy-preserving machine learning has become increasingly important in addressing privacy risks related to individuals. Support vector machine (SVM) is one...
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Chapter and Conference Paper
A Robust Detection and Correction Framework for GNN-Based Vertical Federated Learning
Graph Neural Network based Vertical Federated Learning (GVFL) facilitates data collaboration while preserving data privacy by learning GNN-based node representations from participants holding different dimensi...
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Chapter and Conference Paper
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion
Magnetic resonance (MR) images collected in 2D scanning protocols typically have large inter-slice spacing, resulting in high in-plane resolution but reduced through-plane resolution. Super-resolution techniqu...
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Chapter and Conference Paper
A Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images
The height information of flotation foam is crucial in the titanium flotation. Foam height is embedded within foam point clouds. We are the first to introduce point cloud data in flotation analysis. Addressing...
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Chapter and Conference Paper
Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
Motor imagery based brain-computer interface (MI-BCI) has been extensively researched as a potential intervention to enhance motor function for post-stroke patients. However, the difficulties in performing ima...
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Chapter and Conference Paper
Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction
The accurate reconstruction of accelerated Magnetic Resonance Imaging (MRI) brings significant clinical benefits, including improved diagnostic accuracy and reduced examination costs. Traditional cardiac MRI r...
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Chapter and Conference Paper
Weakly Supervised Method for Domain Adaptation in Instance Segmentation
The domain adaptation of an instance segmentation model has gained much attention. However, manual annotation is tedious and self-training contains too much pseudolabel noise. Inspired by weakly supervised met...
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Chapter and Conference Paper
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis
Chest radiology images such as CT scans and X-ray images have been extensively employed in computer-assisted analysis of COVID-19, utilizing various learning-based techniques. As a trending topic, image retrie...
