Most current pavement crack detection tasks depend on Convolutional Neural Networks (CNNs) and Vision Transformer Networks (ViT) for feature extraction, and this dependency often makes it difficult to effectively capt...
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When the indoor thermal environment changes, the human body adapts to these changes through a series of physiological adjustments, so physiological parameters are also used as indicators to evaluate thermal comfort. H...
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This paper presents a novel approach for calculating graphene-based structures in the complying divergence implicit finite-difference time-domain (CDI-FDTD) method. To begin, the differential iteration formula of grap...
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This article introduces an innovative and efficient deep learning-assisted Finite-Difference Time-Domain (DL-FDTD) method in the field of computational electromagnetics. This method ingeniously integrates the Gated Re...
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A novel matrix generation technique for method of moments (MoM) based on Taylor expansion method is proposed. A geometrically dependent preprocessing matrix is formed by extracting frequency-independent terms through ...
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Traditional image emotion recognition focuses only on the emotion information embedded in the subject or part of the image, while ignoring the global emotion information. In this paper, we propose a new network based ...
Traditional image emotion recognition focuses only on the emotion information embedded in the subject or part of the image, while ignoring the global emotion information. In this paper, we propose a new network based on Vision Transformer: a global perception network, containing a main module and a background module. The main module enhances the weighting of objects by showing the interdependencies between modelled channels. The background module further searches for emotional information in the background. In addition, we employ multi-task learning and Adaptive Gradient Clipping to improve the network. Extensive experiments show that our proposed method outperforms the state-of-the-art methods for image sentiment analysis.
The Scheduling of the Multi-EOSs Area Target Observation(SMEATO)is an EOS resource schedul-ing problem highly coupled with computational *** advances in EOS technology and the ex-pansion of wide-area remote sensing ap...
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The Scheduling of the Multi-EOSs Area Target Observation(SMEATO)is an EOS resource schedul-ing problem highly coupled with computational *** advances in EOS technology and the ex-pansion of wide-area remote sensing applications have increased the practical significance of *** this paper,an adaptive local grid nesting-based genetic algorithm(ALGN-GA)is proposed for developing SMEATO ***,a local grid nesting(LGN)strategy is designed to discretize the target area into parts,so as to avoid the explosive growth of calculations.A genetic algorithm(GA)framework is then used to share reserve information for the population during iterative evolution,which can generate high-quality solutions with low computational *** this basis,an adaptive technique is introduced to determine whether a local region requires nesting and whether the grid scale is *** effectiveness of the proposed model is assessed experimentally with nine randomly generated tests at different *** results show that the ALGN-GA offers advantages over several conventional algorithms in 88.9%of instances,especially in large-scale *** fully demonstrate the high efficiency and stability of the ALGN-GA.
Cognitive Internet of Things (IoT) technologies typically rely on substantial data collected from edge devices for data analysis and decision-making. However this reliance often leads to the inadvertent exposure of pr...
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The development of vehicular networks has significantly improved driving safety and enabled a wide range of intelligent transportation applications. However, in cross-domain scenarios, vehicular networks still face ch...
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In recent years,molybdenum disulfide（MoS2） has gained significant attention in the scientific *** MoS2demonstrates unique properties and potential ***,the synthesis of few-layered and high-purity 1T-MoS2is still a *...
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In recent years,molybdenum disulfide（MoS2） has gained significant attention in the scientific *** MoS2demonstrates unique properties and potential ***,the synthesis of few-layered and high-purity 1T-MoS2is still a *** this study,we successfully employed a hydrothermal method to synthesize few-layered and high-purity *** purity of the material is controlled by a combination of sodium borohydride and ***,the few-layered 1T-MoS2exhibits exceptional performance as a supercapacitor,including the high specific capacitance(250.3 F g-1at a current density of 1 A g-1) and excellent long-trem cycling stability（90.7 % after 5000 cycles）.Meanwhile,the asymmetric device assembled by 6-FL-1TMoS2and active carbon on carbon cloths exhibits excellent flexibility and high energy and power density(23.1μWh cm-2at 600 μW cm-2,55 μWh cm-2at 12000 μW cm-2).This work provides valuable insights into the synthesis of few-layered and high-purity 1T-MoS2,opening up new avenues for further research and applications.
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