717 Result(s)
within
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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Article
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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Article
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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Article
Integrated optical frequency transfer and optical physical layer key distribution with enhanced link reciprocity detection
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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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Article
A self-selecting memory element based on a method of interconnected ovonic threshold switching device
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Article
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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Article
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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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
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
MARS: An Instance-Aware, Modular and Realistic Simulator for Autonomous Driving
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner cases by simulating them. To t...
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Chapter and Conference Paper
Link Prediction Based on the Sub-graphs Learning with Fused Features
As one of the important research methods in the area of the knowledge graph completion, link prediction aims to capture the structural information or the attribute information of nodes in the network to predic...
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Chapter and Conference Paper
MixU-Net: Hybrid CNN-MLP Networks for Urinary Collecting System Segmentation
Segmenting the urinary collecting system based on preoperative contrast-enhanced computed tomography urography volumes is necessary for assisting flexible ureterorenoscopy. The urinary collecting system consis...
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Chapter and Conference Paper
Self-supervised Cascade Training for Monocular Endoscopic Dense Depth Recovery
Dense depth prediction for 3-D reconstruction of monocular endoscopic images is an essential way to expand the surgical field and augment the perception of surgeons in robotic endoscopic surgery. However, it i...
