113 Result(s)
within
Chapter
Conference Paper
Wei WANG
Artificial Intelligence
Computer Communication Networks
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Chapter and Conference Paper
Removal of EOG Artifact in Electroencephalography with EEMD-ICA: A Semi-simulation Study on Identification of Artifactual Components
Purpose: The electroencephalography (EEG) signals recorded in clinical settings are usually corrupted by electrooculography (EOG) artifacts. EEMD-ICA is a commonly used method for removing EOG artifacts. This stu...
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Chapter and Conference Paper
Deep Stereo Matching with Superpixel Based Feature and Cost
Previous stereo methods achieved state-of-the-art performances but are still difficult to handle the well-known edge-fattening issue at depth discontinuity regions. In this paper, we proposed differentiable su...
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Chapter and Conference Paper
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusionRank, a novel approach to z...
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Chapter and Conference Paper
YOLO-TUF: An Improved YOLOv5 Model for Small Object Detection
Traditional target detection algorithms frequently encounter challenges in accurately detecting objects within complex, cluttered environments. This paper presents an optimized YOLOv5-based model to mitigate s...
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Chapter and Conference Paper
Construction of English Intelligent Teaching System Evaluation System Based on Big Data Technology
Under the Big data technology, the English intelligent teaching system has accumulated a large amount of learning data. However, due to the lack of accurate utility level definitions of English intelligent tea...
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Chapter and Conference Paper
Consistency Guided Multiview Hypergraph Embedding Learning with Multiatlas-Based Functional Connectivity Networks Using Resting-State fMRI
Recently, resting-state functional connectivity network (FCN) analysis via graph convolutional networks (GCNs) has greatly boosted diagnostic performance of brain diseases in a manner that can refine FCN embed...
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Chapter and Conference Paper
Personalized Recommendation of English Chinese Translation Teaching Information Resources Based on Transfer Learning
With the rapid development of information technology, the field of English Chinese translation teaching has accumulated a large amount of information resources. The quantity of these teaching information resou...
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Chapter and Conference Paper
A Survey of Integrating Federated Learning with Smart Grids: Application Prospect, Privacy Preserving and Challenges Analysis
With the widespread promotion of smart grid, the power time series data collected by smart meters also increases rapidly. How to collect these data safely and effectively, analyze and utilize them, and provide...
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Chapter and Conference Paper
RBSAC: Rolling Balance Controller Based on Soft Actor-Critic Algorithm of the Unicycle Air Robot
Due to the complexity of the robot’s dynamics model coupled with multiple outputs, most model-based or proportional-integral-derivative type controllers are unable to effectively solve the problem of attitude ...
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Chapter and Conference Paper
Real-Time Monitoring System of Spray-Painting Robot Based on Five-Dimension Digital Twin Model
The painting operation environment is extremely harsh, and the dust generated during the painting process can lead to poor monitoring using vision. Therefore, a real-time monitoring system for spray-painting r...
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Chapter and Conference Paper
Design and Practice of Space Station Manipulator Inspecting for Berthing Manned Spacecraft
Design and simulation of space station manipulator inspection mission for berthing manned spacecraft during the assembly and construction of the Tiangong space station is presented in this paper. The system mo...
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Chapter and Conference Paper
BCTM: A Topic Modeling Method Based on External Information
Topic models are often used as intermediate algorithms for text mining and semantic analysis in natural language processing, and have a wide range of functions. However, most of the existing improvements to th...
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Chapter and Conference Paper
Solder Paste Printing Quality Prediction Model Based on PSO Optimization
Statistics show that about 70% of the surface mount quality problems are in the solder paste printing process, so it is particularly important to optimize the solder paste printing process parameters. The trad...
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Chapter and Conference Paper
Reliability Evaluation of Smart DC Microgrid
Nowadays, one of the main contributors of air pollution is thermal power plant. China want to develop renewable energy to solve the problem [1]. In many areas, roof photovoltaic (PV) energy systems, wind energy s...
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Chapter and Conference Paper
FSI: A FTM Calibration Method Using Wi-Fi Physical Layer Information
Fine Time Measurement (FTM) protocol is included by IEEE 802.11–2016 to address the challenging problem of the high accuracy of the existing system in Wi-Fi positioning. Although FTM promises meter-level rangi...
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Chapter and Conference Paper
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning
With the increasing amount of data, data privacy has drawn great concern in machine learning among the public. Federated Learning, which is a new kind of distributed learning framework, enables data providers ...
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Chapter and Conference Paper
Block-Chain Abnormal Transaction Detection Method Based on Dynamic Graph Representation
The advent of cryptocurrency introduced by Bitcoin ignited an explosion of technological and entrepreneurial interest in payment processing. The user scale of Bitcoin is dynamic, and the participating identiti...
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Chapter and Conference Paper
Robust Unscented Kalman Filter for Target Tracking Based on Mahalanobis Distance
A robust unscented Kalman filtering (UKF) is presented on the basis of the theory of Mahalanobis distance to enhance radar target tracking’s robustness against abnormal observation information. This method fir...
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Chapter and Conference Paper
A Short Survey on Deep Learning Models for Covid-19 Detection Based on Chest CT and X-ray Images
The continued and rapid global spread of COVID-19 is taking a heavy toll on the global economy and human health, which has attracted the attention of professionals in various fields. Controlling the spread of ...
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Chapter and Conference Paper
Modeling Uncertainty in Neural Relation Extraction
Previous work on neural relation extraction mainly focus on point-based methods and ignores uncertainty within the bag, thus making poor predictions when there are insufficient instances of the bag. To solve t...
