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- research-articleJuly 2024
Two-stage fine-tuning with ChatGPT data augmentation for learning class-imbalanced data
AbstractClassification of long-tailed distributed data is a challenging problem, which suffers from serious class imbalance and hence poor performance on tail classes, which have only a few samples. Owing to this paucity of samples, learning on the tail ...
- research-articleJuly 2024
Assessment of new energy industrial clusters: An MCDM approach using DEA and GEMS
Expert Systems with Applications: An International Journal (EXWA), Volume 252, Issue PAOct 2024https://doi.org/10.1016/j.eswa.2024.124231AbstractIndustrial clusters play a pivotal role in securing competitive advantages and achieving national strategic objectives within the new energy sector. The assessment of new energy industrial clusters is crucial for sustaining their swift ...
- research-articleJuly 2024
A three-stage quality evaluation method for experience products: taking animation as an example
AbstractThe diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a three-stage quality assessment method based on grounded theory, association analysis, combined weighting, ...
- research-articleJuly 2024
The Null Controllability of Transmission Wave-Schrödinger System with a Boundary Control
Journal of Dynamical and Control Systems (KLU-JODS), Volume 30, Issue 3Sep 2024https://doi.org/10.1007/s10883-024-09693-1AbstractThis paper is devoted to investigate the null controllability of the transmission wave-Schrödinger system with only one boundary control. The domain of the system consists of two bounded intervals, where the wave and Schrödinger equations evolve, ...
- research-articleJuly 2024
The defining features of a robust information security climate
Computers and Security (CSEC), Volume 142, Issue CJul 2024https://doi.org/10.1016/j.cose.2024.103891AbstractData breaches have become a common occurrence with serious consequences, making organizational security management critically important. Nonetheless, the research community has not yet clearly defined the characteristics of a strong ...
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- research-articleJuly 2024
A method for extracting corneal reflection images from multiple eye images
Computers in Biology and Medicine (CBIM), Volume 177, Issue CJul 2024https://doi.org/10.1016/j.compbiomed.2024.108631AbstractThe incident light reflected from the cornea is rich in information about the human surroundings, and these reflected rays are imaged by the camera, which can be used for research on human consciousness and gaze analysis, and produce certain help ...
- research-articleJuly 2024
Graphormer based contrastive learning for recommendation
Applied Soft Computing (APSC), Volume 159, Issue CJul 2024https://doi.org/10.1016/j.asoc.2024.111626AbstractIn recent years, Graph Neural Networks (GNNs) have become a powerful tool for graph representation in recommendation systems. Graphormer integrates its graph structure into a Transformer to provide state-of-the-art performance for graph ...
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Highlights- Propose a Graphormer-based contrastive learning paradigm, GO-GCL.
- Alleviates the problems associated with inaccurate contrast signals.
- Extensive experiments on Yelp demonstrate the performance advantages of GO-GCL.
- Further ...
- research-articleJuly 2024
Frequency compensated diffusion model for real-scene dehazing
AbstractDue to distribution shift, deep learning based methods for image dehazing suffer from performance degradation when applied to real-world hazy images. In this paper, this study considers a dehazing framework based on conditional diffusion models ...
- research-articleAugust 2024
Optimal settlement strategy for the thermal power in the electricity market with highly penetration of renewable energy
DSAI '24: Proceedings of the 2024 International Conference on Digital Society and Artificial IntelligenceMay 2024, Pages 399–403https://doi.org/10.1145/3677892.3677954The evolution of green energy is relentless, prompting coal power enterprises to devise more robust operational strategies. With the implementation of capacity mechanisms, the choices surrounding electricity pricing and maximizing technical output assume ...
- research-articleAugust 2024
Development of Digital Twin System for Milling Machine
ISCER '24: Proceedings of the 2024 3rd International Symposium on Control Engineering and RoboticsMay 2024, Pages 109–114https://doi.org/10.1145/3679409.3679432Taking a small three-axis milling machine as an example, the digital twin of the milling machine is divided into the twin data layer and the twin model layer, and the data model, geometric model, logic model are constructed and the digital twin model of ...
- research-articleAugust 2024
Application of 3D modeling and virtual reality technology in power system training
ICCMT '24: Proceedings of the 2024 International Conference on Computer and Multimedia TechnologyMay 2024, Pages 504–508https://doi.org/10.1145/3675249.3675336With the continuous development of the power system, higher requirements have been put forward for power training. Virtual reality (VR) has been widely used in digital training in various industries. This article introduces a design method for a power VR ...
- research-articleAugust 2024
Informatization Construction of Rural Governance Based on Data-Driven Approaches
ICCMT '24: Proceedings of the 2024 International Conference on Computer and Multimedia TechnologyMay 2024, Pages 110–117https://doi.org/10.1145/3675249.3675269Informatization construction of rural governance has become an important part of rural grassroots social governance in China, which is of great significance to the construction of digital China and the improvement of rural comprehensive governance. ...
- research-articleJuly 2024
Identifying the reaction centers of molecule based on dual-view representation
Knowledge-Based Systems (KNBS), Volume 292, Issue CMay 2024https://doi.org/10.1016/j.knosys.2024.111606AbstractIn the process of drug retrosynthesis, identifying the reaction centers where the chemical reactions occurring is an important fundamental issue in semi-templated models. However, few publications pay their attention on this research point ...
- research-articleAugust 2024
Deep Learning-Based Three-dimensional Reconstruction and Spatial Position Mapping of Tunnel Defect Zones
SIUSAI '24: Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial IntelligenceMay 2024, Pages 118–123https://doi.org/10.1145/3669721.3671009Timely detection and discovery of the spatial location, dimensions and categories of surface defects in tunnels are of great significance to ensure the safe operation of tunnels. This study proposes a 3D reconstruction and spatial location mapping method ...
- research-articleAugust 2024
Dam Seepage Defect Area Estimation Method Based on UAV 3D Scene Reconstruction
SIUSAI '24: Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial IntelligenceMay 2024, Pages 106–112https://doi.org/10.1145/3669721.3669744Due to the complex geometric structure of the dam, it is challenging to directly calculate seepage areas from the infrared images captured by unmanned aerial vehicles (UAVs). To address this issue, this paper proposes a seepage area calculation method ...
- research-articleAugust 2024Best Paper
Linear Deformation Sensing and Error Self Correction Method Based on Fiber Optic Smart Sensor Belt and Typical Error Matching
SIUSAI '24: Proceedings of the 2024 3rd International Symposium on Intelligent Unmanned Systems and Artificial IntelligenceMay 2024, Pages 98–105https://doi.org/10.1145/3669721.3669743In view of the problem that the distributed optical fiber-based deformation reconstruction method can produce serious accumulated errors, this paper first designs and builds a distributed fiber optic smart sensor belt monitoring system. On this basis, by ...
- research-articleMay 2024
Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization
IEEE Transactions on Computers (ITCO), Volume 73, Issue 8Aug. 2024, Pages 1953–1966https://doi.org/10.1109/TC.2024.3398492Ensuring the reliability of deep neural networks (DNNs) is paramount in safety-critical applications. Although introducing supplementary fault-tolerant mechanisms can augment the reliability of DNNs, an efficiency tradeoff may be introduced. This study ...
- research-articleJuly 2024
Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system
Information Processing and Management: an International Journal (IPRM), Volume 61, Issue 3May 2024https://doi.org/10.1016/j.ipm.2023.103631AbstractReview is an essential piece of information that influences users’ decisions, but excessively long reviews not only degrade the user experience but also affect the accuracy of the recommender system. Therefore, Joint Inter-Word and Inter-Sentence ...
Highlights- We propose proposes summary-based recommender system (MRSR), which effectively mitigates the issue of long-text dependence by Transformer.
- The design of inter-word and inter-sentence the multi-relation modeling module aims to extract ...
- research-articleAugust 2024
GGI-DDI: Identification for key molecular substructures by granule learning to interpret predicted drug–drug interactions▪
Expert Systems with Applications: An International Journal (EXWA), Volume 240, Issue CApr 2024https://doi.org/10.1016/j.eswa.2023.122500AbstractDeep learning-based approaches have achieved promising performance in predicting drug–drug interactions (DDIs). Nevertheless, a significant drawback of these approaches is their limited interpretability, hindering their practical applicability ...
Highlights- GGI-DDI can capture the key chemical components that cause specific types of DDIs.
- GGI-DDI can be applied to both transductive and inductive scenarios to predict DDIs.
- GGI-DDI can predict single or multiple types of DDIs between a ...
- research-articleJuly 2024
An improved deep Q-network approach for charging sequence scheduling with optimal mobile charging cost and charging efficiency in wireless rechargeable sensor networks
AbstractMobile charging is a practical solution to overcome energy constraints in wireless rechargeable sensor networks (WRSNs). It utilizes a mobile charger (MC) to charge sensors based on the wireless power transfer technique via a charging scheduling ...