200 Result(s)
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Article
Jian**n Chen
Computer Science
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Article
TAENet: transencoder-based all-in-one image enhancement with depth awareness
Recently, CNN-based all-in-one image enhancement methods have been proposed to solve multiple image degradation tasks. However, these CNN-based methods usually have two limitations. One limitation is that they...
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Subgraph matching-based reference placement for printed circuit board designs
Reference placement is promising to handle the increasing complexity in printed circuit board (PCB) designs, which aims to find the isomorphism of the placed template in component combination to reuse the plac...
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Intercity customized passenger transportation service plan optimization design with spatial-temporal accessibility based on BIRCH-VNS
Traditional intercity passenger transportation is inefficient, inflexible, and financially unrewarding, failing to meet the demands of intercity travel. To address these issues, this study utilizes historical ...
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Integrated optical frequency transfer and optical physical layer key distribution with enhanced link reciprocity detection
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A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures
It is necessary to determine the input features and output results when constructing a surrogate model within the data-driven neural network. Since the law of features would be restrained when the surrogate me...
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Nearly Time-Optimal Kernelization Algorithms for the Line-Cover Problem with Big Data
Based on well-known complexity theory conjectures, any polynomial-time kernelization algorithm for the NP-hard Line-Cover problem produces a kernel of size ...
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Open AccessExtramural ICT factors impact adolescents’ academic performance and well-being differently: Types of self-regulated learners also matter
Most studies have explored how information and communication technology (ICT) factors impact adolescents’ schooling, but often ignore the potential influences on their well-being; no research has further scrut...
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Infrared tracking for accurate localization by capturing global context information
The existing model’s representation and fusion of features is inadequate in TIR scenarios. Our design of a new infrared tracking algorithm is based on this problem. Specifically, we use the transformer structu...
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Open AccessImage Deblurring Using Feedback Mechanism and Dual Gated Attention Network
Recently, image deblurring task driven by the encoder-decoder network has made a tremendous amount of progress. However, these encoder-decoder-based networks still have two disadvantages: (1) due to the lack o...
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Complex visual question answering based on uniform form and content
Complex visual question answering holds the potential to enhance artificial intelligence proficiency in understanding natural language, stimulate advances in computer vision technologies, and expand the range ...
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FAformer: parallel Fourier-attention architectures benefits EEG-based affective computing with enhanced spatial information
The balance of brain functional segregation (i.e., the process in specialized local subsystems) and integration (i.e., the process in global cooperation of the subsystems) is crucial for cognition in human bei...
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A self-selecting memory element based on a method of interconnected ovonic threshold switching device
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Open AccessInformation-Minimizing Generative Adversarial Network for Fair Generation and Classification
Studies show that machine learning models trained from biased data can discriminate against groups with certain sensitive attributes. This problem can be mitigated by cleaning the original data or learning fai...
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Interactive context-aware network for RGB-T salient object detection
Salient object detection (SOD) focuses on distinguishing the most conspicuous objects in the scene. However, most related works are based on RGB images, which lose massive useful information. Accordingly, with...
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Feature subset selection algorithm based on symmetric uncertainty and interaction factor
Since either only one metric is employed or two metrics are adopted and each of them is compared separately to measure redundant features, several existing feature subset selection algorithms cannot obtain the...
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FFANet: dual attention-based flow field-aware network for wall identification
Deep learning-based approaches for understanding and analyzing 3D flow field grids have been extensively studied in recent years due to their importance in exploring the physical mechanisms of flow fields. How...
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LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images
Liver cancer is the leading cause of mortality in the world. Over the years, researchers have spent much effort in develo** computer-aided techniques to improve clinicians’ diagnosis efficiency and precision...
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Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks
Although Graph Convolutional Networks (GCNs) have achieved excellent results in various graph-related tasks, their performance at low label rates is still unsatisfactory. Previous studies in Semi-Supervised Le...
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EnNeRFACE: improving the generalization of face reenactment with adaptive ensemble neural radiance fields
Face reenactment is a critical technology of digital face editing. Lately, the NeRFACE, a face reenactment method based on neural radiance fields, has been proposed, making the reconstruction accuracy of the t...
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SATFace: Subject Agnostic Talking Face Generation with Natural Head Movement
Talking face generation is widely used in education, entertainment, shop**, and other social practices. Existing methods focus on matching the speaker’s mouth shape with the speech content. Still, there is a...
