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Computer Science
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Article
A MDA-LSTM network for remaining useful life estimation of lithium batteries
Remaining useful life (RUL) of energy storage batteries estimation is of great significance to battery failure warning and battery safety. Previous methods have primarily relied on the battery’s capacity as th...
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Recovering a clean background: a new progressive multi-scale CNN for image denoising
Convolutional neural networks (CNNs) have gained significant popularity in image denoising. In recent years, many CNN-based image denoising methods have been developed. However, some of these methods extract t...
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Design of double protograph LDPC codes based JSCC systems via the ACE-PEG algorithm
In this work, a novel design method of DP-LDPC codes for the JSCC system via the ACE-PEG algorithm has been proposed. The designed base matrix contains more higher-degree VNs than the conventional ones, and th...
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A hybrid northern goshawk optimization algorithm based on cluster collaboration
To address the problems that the northern goshawk optimization algorithm (NGO) has a slow convergence speed and is highly susceptible to fall into local optimal solutions, this paper proposes a hybrid northern...
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DyPoA: enhanced PoA protocol with a dynamic set of validators for IoT
As a resource-friendly consensus protocol, Proof-of-Authority (PoA) has been widely deployed in IoT applications with blockchain technology. It relies on a fixed set of trusted nodes called validators for bloc...
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Moving mesh method with variational multiscale finite element method for convection–diffusion–reaction equations
The solutions tend to have large gradients, discontinuities, or sharp layers for convection-dominated convection–diffusion–reaction equations. Many studies have demonstrated the advantages of moving mesh and v...
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Classification of Camellia oleifera using a dual recognition strategy based on deep learning
With the rapid growth of the Camellia oleifera industry, counterfeit seedlings have surfaced in the market. Authenticating the genuineness of Camellia oleifera species and cultivars has emerged as a substantia...
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Open AccessMultichannel Multimodal Emotion Analysis of Cross-Modal Feedback Interactions Based on Knowledge Graph
Multimodal sentiment analysis is a downstream branch task of sentiment analysis with high attention at present. Previous work in multimodal sentiment analysis have focused on the representation and fusion of m...
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Accumulated-state-error-based event-triggered sampling scheme and its application to H∞ control of sampled-data systems
This paper is concerned with event-triggered H∞ control of sampled-data systems. Its novelties lie in three aspects: (i) A novel accumulated-state-error-based event-triggered scheme is introduced by comparing the...
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Article
Metapath and attribute-based academic collaborator recommendation in heterogeneous academic networks
Academic collaboration is fundamental to the advancement of scientific research. However, with the growing number of publications and researchers, it becomes increasingly challenging to identify suitable colla...
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Open AccessTowards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
Efficient allocation of tasks and resources is crucial for the performance of heterogeneous cloud computing platforms. To achieve harmony between task completion time, device power consumption, and load balanc...
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Article
A high precision two-axis GMR angular sensor manufactured by post-annealing
This work demonstrates a high-precision in-plane two-axis GMR angle sensor is prepared by post-annealing. The pinning direction of the GMR strips is modulated by annealing two times to achieve orthogonal sensi...
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Harmonizing local and global features: enhanced hand gesture segmentation using synergistic fusion of CNN and transformer networks
Hand gesture segmentation is an important research topic in computer vision. Despite ongoing efforts, achieving optimal gesture segmentation remains challenging, attributed to factors like gesture morphology a...
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Article
DENS-YOLOv6: a small object detection model for garbage detection on water surface
The study of garbage detection on water surface is of great significance for the development of water surface garbage monitoring and automated water surface garbage salvage. However, in water surface garbage s...
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Article
Performance improvement of β-Ga2O3 SBD-based rectifier with embedded microchannels in ceramic substrate
This study proposed and fabricated a β-Ga2O3 SBD-based rectifier with embedded microchannels in a ceramic substrate for active cooling for the first time. Experimental results demonstrate that this technique can ...
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Article
BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation
In the domain of sequence recommendation, contextual information has been shown to effectively improve the accuracy of predicting the user’s next interaction. However, existing studies do not consider the depe...
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Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models
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Article
A new multi-scale CNN with pixel-wise attention for image denoising
Convolutional neural networks (CNNs) are widely popular in the field of image denoising. A large number of CNN-based denoising methods exhibit superior denoising performance in comparison with most conventiona...
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Article
A retrieval method of learners’ behavior features based on K-means clustering algorithm
This paper studies the retrieval method of learners’ behavior features in the coding library the K-means clustering algorithm, which can effectively retrieve learners’ behavior features and ensure the safety a...
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Article
Open AccessFormative Feedback on Student-Authored Summaries in Intelligent Textbooks Using Large Language Models
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need to make them more interactive arises. An alternative is to ask students to generate knowledge in response to tex...
