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2,177 Result(s)
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Chapter and Conference Paper
Identifying Alzheimer’s Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks
Identifying topology alterations in white matter connectivity has emerged as a promising avenue for exploring potential markers of Alzheimer’s disease (AD). However, conventional graph learning methods struggl...
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Chapter and Conference Paper
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance
The infant brain develops dramatically during the first two years of life. Accurate segmentation of brain tissues is essential to understand the early development of both normal and disease changes. However, t...
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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
Cooperative Beam Hop** for LEO Constellation Network
LEO constellation network has become a promising approach for global communications, due to its global coverage, lower latency, and flexible construction. However, because of the limited coverage of a single s...
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Chapter and Conference Paper
A Multi-carrier Information Hiding Algorithm Based on Dual 3D Model Spectrum Analysis
In order to avoid multiple degradation of 3D models in Cartesian coordinate system, this paper converts cartesian coordinate system to spherical coordinates, and proposes a multi carrier information hiding alg...
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Chapter and Conference Paper
A Sampling Method for Performance Predictor Based on Contrastive Learning
Performance predictors are commonly dedicated to mitigating the substantial resource consumption of neural architecture search. Nevertheless, existing performance predictors are typically constructed based on ...
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Chapter and Conference Paper
Boosting Out-of-Distribution Detection with Sample Weighting
To enhance the reliability of machine learning models in the open world, there is considerable interest in detecting out-of-distribution (OOD) inputs that lie far away from the training distribution. Existing ...
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Chapter and Conference Paper
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model
Spatiotemporal prediction is a research topic in urban planning and management. Most existing spatiotemporal prediction models currently face challenges. More specifically, most prediction models are sensitive...
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Chapter and Conference Paper
Towards Unified Modality Understanding for Alzheimer’s Disease Diagnosis Using Incomplete Multi-modality Data
Multi-modal neuroimaging data, e.g., magnetic resonance imaging (MRI) and positron emission tomography (PET), has greatly advanced computer-aided diagnosis of Alzheimer’s disease (AD) and its prodromal stage, ...
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Chapter and Conference Paper
Research on the Application of Internet+In Environmental Design Teaching
While Internet technology has changed people's lives, it has also had a profound impact on the evaluation of environmental design teaching. The evaluation tools used for traditional environmental design teachi...
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Chapter and Conference Paper
O&M Portrait Tag Generation and Management of Grid Business Application System Under Microservice Architecture
With the development of microservices architecture, O&M in grid business systems is shifting from the traditional device-oriented approach to demand-oriented user experience and operational data analysis. How ...
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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
Exploration and Application Based on Authentication, Authorization, Accounting in Home Broadband Scenario
With the rapid development of broadband market services, Internet Service Providers (ISPs) strive to improve the end-to-end network quality of home broadband. However, faced with the opaque and unknown indoor ...
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Chapter and Conference Paper
A Tongue Image Classification Method in TCM Based on Multi Feature Fusion
Traditional Chinese medicine distinguishes tongue features such as tongue color, fur color, tongue shape and crack mainly through the visual observation and empirical analysis of traditional Chinese medicine d...
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Chapter and Conference Paper
Visual Analysis of Machine Tool Operation Mode Correlation Based on Parameter Category Coding
Aiming at the problem that the machine tool operation data has many dimensions, the parameters relationship is complex, and its abnormal patterns and hidden correlation information are difficult to fully excav...
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Chapter and Conference Paper
Design of Query Based Gallery Selector and Mask-Aware Loss for Person Search
Person search is a challenging computer vision task that aims to simultaneously locate and identify a query person from panoramic images. To address the issue of scene similarity and its impact on search accur...
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Chapter and Conference Paper
DUFormer: Solving Power Line Detection Task in Aerial Images Using Semantic Segmentation
Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images. However, detecting power lines in aerial images is difficult, as the foreground data ...
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Chapter and Conference Paper
Regularized DNN Based Adaptive Compensation Algorithm for Gateway Power Meter in Ultra-High Voltage Substations
The development of the power Internet of Things (IoT) has made the data of ultra-high voltage substation metering critical information sources for supporting power energy scheduling and market transactions. Ho...
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Chapter and Conference Paper
Develo** a Web-Based Platform for Forming Language Capability Assessment for AAC Users
Although language capability has been regarded as one of the key factors of communication competencies for AAC users, no proper language capabilities assessment that considers AAC users’ limitations of motor c...
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Chapter and Conference Paper
Partition Sampling Strategy for Robot Motion Planning in Narrow Passage Under Uncertainty
To address the perception and motion uncertainty issues for motion planning in narrow passage environments, a Partitioned Sampling Strategy based on Partially Observable Markov Decision Processes (POMDP) is pu...