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- research-articleMarch 2025
Numerical discretization of a Darcy–Forchheimer flow with variable density and heat transfer
Journal of Computational and Applied Mathematics (JCAM), Volume 457, Issue Chttps://doi.org/10.1016/j.cam.2024.116252AbstractIn this paper, we study a heat transfer scenario in Darcy–Forchheimer porous media with variable density. The block-centered finite difference method is applied to discretize the non-isothermal flow equations governing the system. Specifically, ...
- research-articleMarch 2025
BioMingle: A Tangible Embodied Interaction System for Enhancing Neighborhood Interaction in Urban Community Public Spaces in China
- Fengyu Wang,
- Weijia Lin,
- Jiayu Yao,
- Shichao Huang,
- Jiayi Ma,
- Jiayu Li,
- Zirui Wang,
- Shiqi Shu,
- Sheng Yang,
- Jiacheng Cao,
- Yijun Zhao,
- Cheng Yao,
- Jing Zhang
TEI '25: Proceedings of the Nineteenth International Conference on Tangible, Embedded, and Embodied InteractionArticle No.: 30, Pages 1–14https://doi.org/10.1145/3689050.3704952High-quality social interactions among neighbors are essential for improving individual health and community well-being. However, after urban housing reforms in China, the frequency of neighborhood interactions has significantly decreased in high-rise, ...
- research-articleFebruary 2025
GQEO: Nearest neighbor graph-based generalized quadrilateral element oversampling for class-imbalance problem
AbstractThe class imbalance problem is one of the difficult factors affecting the performance of traditional classifiers. The oversampling technique is the most common way to solve the class imbalance problem. They alleviate the performance impact of the ...
- research-articleFebruary 2025
Event-based adaptive fixed-time optimal control for saturated fault-tolerant nonlinear multiagent systems via reinforcement learning algorithm
AbstractThis article investigates the problem of adaptive fixed-time optimal consensus tracking control for nonlinear multiagent systems (MASs) affected by actuator faults and input saturation. To achieve optimal control, reinforcement learning (RL) ...
- research-articleFebruary 2025
ScaIR: Scalable Intelligent Routing based on Distributed Graph Reinforcement Learning
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 257, Issue Chttps://doi.org/10.1016/j.comnet.2024.110915AbstractTraditional routing typically relies on simpler performance metrics that can be derived directly through mathematical methods for decision-making, which often results in limited optimization outcomes. As future networks expand, along with the ...
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- research-articleFebruary 2025
MSNet: Multi-Scale Network for Object Detection in Remote Sensing Images
AbstractRemote sensing object detection (RSOD) encounters challenges in effectively extracting features of small objects in remote sensing images (RSIs). To alleviate these problems, we proposed a Multi-Scale Network for Object Detection in Remote ...
Highlights- The parallel structure combining pointwise and partial convolution effectively reduce the number of parameters.
- The integration of context modeling and residual modules can effectively enhance small object features.
- The improved ...
- research-articleJanuary 2025
RWGCN: Random walk graph convolutional network for group activity recognition: RWGCN: Random walk graph convolutional network for group activity recognition
AbstractGroup activity recognition can remarkably improve the understanding of video content by analyzing human behaviors and activities in videos. We propose a random walk graph convolutional network (RWGCN) for group activity recognition. (1) ...
- review-articleJanuary 2025
Large language model for table processing: a survey
Frontiers of Computer Science: Selected Publications from Chinese Universities (FCS), Volume 19, Issue 2https://doi.org/10.1007/s11704-024-40763-6AbstractTables, typically two-dimensional and structured to store large amounts of data, are essential in daily activities like database queries, spreadsheet manipulations, Web table question answering, and image table information extraction. Automating ...
- research-articleJanuary 2025
Spatial-temporal transformer network for protecting person-of-interest from deepfaking: Spatial-temporal transformer network for protecting person-of-interest from deepfaking
AbstractThe rampant use of forgery techniques poses a significant threat to the security of celebrities’ identities. Although current deepfake detection methods have shown effectiveness when dealing with specific public face forgery datasets, their ...
- research-articleJanuary 2025
ISH: Isogeny-based Secret Handshakes with friendly communication costs
AbstractSecret handshake schemes allow members from the same organization to authenticate each other anonymously. After its proposal, various schemes have been introduced to achieve advanced privacy protection. Regrettably, all the schemes based on ...
Highlights- We construct the first isogeny-based secret handshake scheme.
- Our scheme is proved secure assuming the hardness of GAIP.
- The communication cost of our scheme surpasses all existing post-quantum designs.
- research-articleFebruary 2025
Domain disentanglement and fusion based on hyperbolic neural networks for zero-shot sketch-based image retrieval
Information Processing and Management: an International Journal (IPRM), Volume 62, Issue 1https://doi.org/10.1016/j.ipm.2024.103963Highlights- We propose a ZS-SBIR model based on hyperbolic neural networks.
- Hyperbolic space is more suitable for feature representation than Euclidean space.
- The domain disentanglement network effectively aligning image and sketch features.
With the advancement of zero-shot sketch-based image retrieval (ZS-SBIR) tasks, existing methods still encounter two major challenges: Euclidean space fails to effectively represent data with hierarchical structures, leading to non-discriminative ...
- research-articleFebruary 2025
Chaotic loss-based spiking neural network for privacy-preserving bullying detection in public places
AbstractBullying is currently inflicting severe harm on the personal safety and mental health of many individuals. This harm is multifaceted, impacting victims profoundly and generating negative consequences for perpetrators and the broader social ...
Highlights- Identifying bullying action in public places, while protecting privacy, using neuromorphic vision technology.
- Proposing two chaotic loss functions to increase the likelihood of the SNN converging to a global optimum during training.
- research-articleFebruary 2025
Intelligent monitoring of icing condition of transmission lines based on intelligent vibration model
International Journal of Information and Communication Technology (IJICT), Volume 26, Issue 3Pages 47–71https://doi.org/10.1504/ijict.2025.144456Icing will not only increase the weight of the conductor to make the conductor bear greater vertical gravity and make the axial tension greater when the conductor gallops, but also increase the cross-sectional area of the conductor to increase the ...
- research-articleJanuary 2025
Assessing the risk factors associated with nutritional status in patients with liver cirrhosis: A case-control study
Technology and Health Care (TAHC), Volume 33, Issue 1Pages 509–518https://doi.org/10.3233/THC-241180BACKGROUND:Cirrhosis is one of the most common clinical diseases in the world. The patient with cirrhosis has many complications, such as spontaneous peritonitis, hepatic encephalopathy. Malnutrition is one of the most common complications in patients ...
- research-articleJanuary 2025
A Planning and Control-Integrated Design Approach for Railway Power Flow Controller With Hybrid Energy Storage System
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 26, Issue 1Pages 1257–1272https://doi.org/10.1109/TITS.2024.3493944Integrating energy storage systems (ESSs) into the railway power flow controller (RPFC) offers a promising path to enhance the interaction capability and connection compatibility between the railway power systems (RPSs) and the utility. Despite its ...
- research-articleJanuary 2025
QSIM: A Quantum-inspired hierarchical semantic interaction model for text classification
AbstractSemantic interaction modeling is a fundamental technology in natural language understanding that guides models to extract deep semantic information from text. Currently, the attention mechanism is one of the most effective techniques in semantic ...
- research-articleJanuary 2025
LSTM-Oppurs: Opportunistic user recruitment strategy based on deep learning in mobile crowdsensing system
Future Generation Computer Systems (FGCS), Volume 162, Issue Chttps://doi.org/10.1016/j.future.2024.107490AbstractAs the scale of Mobile CrowdSensing (MCS) system expands, effective mobile user allocation and recruitment system design becomes crucial. Mobile users can be divided into opportunistic users and participatory ones. Most of the existing ...
Highlights- A User Recruitment problem based on User Comprehensive Capabilities (urUCC) is proposed.
- A user Location Prediction algorithm based on Deep Learning (LPDL) is proposed.
- A User Comprehensive Evaluation algorithm based on Topsis (...
- research-articleJanuary 2025
WF-LDPSR: A local differential privacy mechanism based on water-filling for secure release of trajectory statistics data
AbstractOpen Data Processing Services are used to solve the bottleneck of big data storage and operation. At the same time, massive trajectory data is generated, and the basic information of users’ spatio-temporal historical data is provided, including ...
Highlights- A distributed privacy protection model based on LDP is designed to resist the attacks on the third-party server.
- The market segmentation theorem is introduced to achieve personalized automatic segmentation of users.
- The idea of the ...
- research-articleDecember 2024
P2FTrack: Multi-Object Tracking with Motion Prior and Feature Posterior
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 21, Issue 1Article No.: 22, Pages 1–22https://doi.org/10.1145/3700443Multiple object tracking (MOT) has emerged as a crucial component of the rapidly developing computer vision. However, existing multi-object tracking methods often overlook the relationship between features and motion, hindering the ability to strike a ...
- research-articleFebruary 2025
Research on Flexible Ultra-high Frequency Sensing Technology for GIS Discharge Based on Particle Swarm and Genetic Algorithm
AAIA '24: Proceedings of the 2024 2nd International Conference on Advances in Artificial Intelligence and ApplicationsPages 218–224https://doi.org/10.1145/3712623.3712656Gas-insulated switchgear (GIS) may be affected by mechanical stress, temperature fluctuations and other factors during operation, which may lead to insulation defects and partial discharges or even breakdowns. In this paper, the fractal antenna is ...