30 Result(s)
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Article
Joint recognition for location and activity based on multidimensional features of CSI images
The joint recognition technology of location and activity, leveraging CSI (Channel State Information), finds widespread applications in domains such as human-computer interaction and smart homes, owing to the ...
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Article
Collaborative neural radiance fields for novel view synthesis
Neural radiance fields (NeRF) synthesize realistic novel views by estimating point attributes (density and color), followed by the volume rendering method. However, accurately predicting the arbitrary point at...
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Chapter and Conference Paper
Semantic-Information Space Sharing Interaction Network for Arbitrary Shape Text Detection
Arbitrary shape text detection is a challenging task due to significant variations in text shapes, sizes, and aspect ratios. Previous approaches relying on single-level feature map generated through a top-down...
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Chapter and Conference Paper
Cooperative Search Path Planning for Multiple Unmanned Surface Vehicles
Due to the advantages of unmanned surface vehicles (USVs) with wide communication range, faster speed and high flexibility, USV formations are considered suitable for fast target search missions in marine envi...
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Chapter and Conference Paper
Unsupervised Cell Functional Annotation for Single-Cell RNA-Seq
One of the first steps in the analysis of single cell RNA-Sequencing data (scRNA-Seq) is the assignment of cell types.
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Chapter and Conference Paper
Automated RESTful API Service Discovery with Various Interface Features
In recent years, the rapid increase in the number of RESTful API services has made it more difficult for developers to select functionally suitable and callable ones from massive service information, which bri...
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Chapter and Conference Paper
Inversion of k-Nearest Neighbours Algorithm for Extracting SNPs Discriminating Human Populations
With the development of new technologies, many multi-class and high dimension data have been accumulated in the biology field . The data contains much useful information. But how to mine the information is a h...
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Chapter and Conference Paper
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction
Lymph node metastasis (LNM) is the most critical prognosis factor in esophageal squamous cell carcinoma (ESCC). Effective and adaptive integration of preoperative CT images and multi-sourced non-imaging clinic...
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Chapter and Conference Paper
Blockchain Technology in the Registration and Protection of Digital Copyright
With the rapid development of digital publishing field, the situation of digital copyright infringement is becoming more and more serious, and the frequent tortious cases dampen the enthusiasm of the original ...
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Chapter and Conference Paper
Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation
A novel WGAN-GP-based model is proposed in this study to fulfill bi-directional synthesis of medical images for the first time. GMM-based noise generated from the Glow model is newly incorporated into the WGAN...
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Chapter and Conference Paper
An Improved Genetic Algorithm for Optimal Search Path of Unmanned Underwater Vehicles
To solve path planning problem of continuous space-time Markov moving targets for UUV search, an optimal path planning model is established. The search direction of the UUV is set as decision variables. An imp...
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Chapter and Conference Paper
Optimal Anti-submarine Search Path for UUV via an Adaptive Mutation Genetic Algorithm
Unmanned underwater vehicle (UUV) is significant equipment for underwater anti-submarine operation. In this paper, the optimal anti-submarine search path for UUV is investigated through an adaptive mutation ge...
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Chapter and Conference Paper
Arterial Spin Labeling Images Synthesis via Locally-Constrained WGAN-GP Ensemble
Arterial spin labeling (ASL) images begin to receive much popularity in dementia diseases diagnosis recently, yet it is still not commonly seen in well-established image datasets for investigating dementia di...
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Article
Automatic clustering based on density peak detection using generalized extreme value distribution
Density peaks clustering (DPC) algorithm is able to get a satisfactory result with the help of artificial selecting the clustering centers, but such selection can be hard for a large amount of clustering tasks...
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Chapter and Conference Paper
Employing Shortcut Setting and Subitizing Effect for Improving UI of Multi Media Kiosks
Convenience stores are almost everywhere, offering a modern part of life. Convenience stores in Taiwan also serve as links to the world where you can pay gas bill or even get tickets for a concert through the...
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Chapter and Conference Paper
Super-Resolution of Text Image Based on Conditional Generative Adversarial Network
To generate high-resolution text images from available low-resolution ones is of great value to many text-related applications, especially text recognition. In this paper, we propose an effective super-resolut...
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Chapter
An Improved 3D Surface Reconstruction Method Based on Three Wavelength Phase Shift Profilometry
In order to reduce the noise points when measure the shape of 3D object using Phase Shift Profilometry (PSP) methods, in this paper we propose a novel Three Wave Length PSP (TWPSP) method. Firstly, the direct ...
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Chapter and Conference Paper
Employing Personalized Shortcut Options and Group Recommending Options for Improving the Usability of User Interface of Hospital Self-service Registration Kiosks
This study aims to improve the efficiency of hospital registration user interface by employing user’s experience data. Users complete registration task under the guidance of a sequence of dialog boxes that lea...
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Chapter and Conference Paper
Building and Exploring an Enterprise Knowledge Graph for Investment Analysis
Full-fledged enterprise information can be a great weapon in investment analysis. However, enterprise information is scattered in different databases and websites. The information from a single source is incom...
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Chapter and Conference Paper
An Efficient Webpage Classification Algorithm Based on LSH
With the explosive growth of Internet information, it is more and more important to fetch real-time and related information. And it puts forward higher requirement on the speed of webpage classification which ...
