15,032 Result(s)
within
Chapter
Conference Paper
Lu**g Chen
English
Artificial Intelligence
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Chapter and Conference Paper
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer
Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucial but time...
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Chapter and Conference Paper
MLDF-Net: Metadata Based Multi-level Dynamic Fusion Network
Computer-aided diagnosis has been widely used in the medical field, and one of the current research hotspots for aiding diagnosis is how to effectively fuse heterogeneous data such as image data and metadata. ...
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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
IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain
General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and inability to provide medical a...
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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
A Survey and Planning Advice of Blockchain-Based Used Car Bidding Platform
In recent years, due to the increasing gap between rich and poor around the world, more and more people prefer to buy second-hand cars instead of buying new ones. As a result, the production and demand for new...
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Chapter and Conference Paper
SD-Attack: Targeted Spectral Attacks on Graphs
Graph learning (GL) models have been applied in various predictive tasks on graph data. But, similarly to other machine learning models, GL models are also vulnerable to adversarial attacks. As a powerful atta...
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Chapter and Conference Paper
Research of Virtual Simulation Experiment System for Geomorphologic Evolution of Taiwan Strait
Geography is a highly practical subject which internship activities are an important part of geography teaching. However, due to the limitations of spatiotemporal dynamics, it is impossible to obtain the effec...
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Chapter and Conference Paper
Multi-level Patch Transformer for Style Transfer with Single Reference Image
Despite the recent success of image style transfer with Generative Adversarial Networks (GANs), this task remains challenging due to the requirements of large volumes of style image data. In this work, we pres...
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Chapter and Conference Paper
Research on Simulation of Heat Conduction in the Built-in SF6 Multiparameter Sensor
This article analyzes the heating model and heat transfer mode of electronic components in SF6 multi-parameter sensors, and conducts simulation research on fluid heat transfer in the two end cavities, no fluid...
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Chapter and Conference Paper
An Empirical Analysis of Gumbel MuZero on Stochastic and Deterministic Einstein Würfelt Nicht!
MuZero and its successors, Gumbel MuZero and Stochastic MuZero, have achieved superhuman performance in many domains. MuZero combines Monte Carlo tree search and model-based reinforcement learning, which allow...
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Chapter and Conference Paper
GraphNILM: A Graph Neural Network for Energy Disaggregation
Non-Intrusive Load Monitoring (NILM) remains a critical issue in both commercial and residential energy management, with a key challenge being the requirement for individual appliance-specific deep learning mo...
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Chapter and Conference Paper
Hybrid Encoded Attention Networks for Accurate Pulmonary Artery-Vein Segmentation in Noncontrast CT Images
Pulmonary artery-vein segmentation in computed tomography image is essential to lung disease diagnosis. It is still a challenge to segment small distal vessels, crossover and adhesion of arterioles due to comp...
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Chapter and Conference Paper
Heterogeneous Signcryption Scheme with Equality Test for Internet of Vehicles
By collecting and using vehicle dynamic data from sensors on vehicles, Internet of Vehicles (IoV) has greatly enhanced the convenience and intelligence of users’ transportation. However, the data transmission ...
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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
Multimodal Rumor Detection by Using Additive Angular Margin with Class-Aware Attention for Hard Samples
Currently, several factors limit the practicality of multimodal rumor detection (MRD). These include incomplete feature fusion in multimodal data, the weak discriminative power in the softmax-based loss, and t...
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Chapter and Conference Paper
Deducing Matching Strings for Real-World Regular Expressions
Real-world regular expressions (regexes for short) have a wide range of applications in software. However, the support for regexes in test generation is insufficient. For example, existing works lack support f...
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Chapter and Conference Paper
The Fault Detection Method of the Seismic Image Based on Semantic Segmentation
Seismic image fault detection is of practical significance in solid mineral resources investigation, petroleum geology investigation, and other multidisciplinary fields. Traditional fault detection requires ma...
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Chapter and Conference Paper
Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks
The significance of influential nodes in information diffusion within scholar social networks has attracted increasing attention in the field of influence maximization problem. Most Existing influence maximiza...
