Abstract: In this study, we investigate the current distribution and input impedance of an extremely low frequency (ELF: 3–30 Hz) horizontal linear antenna immersed in seawater over one-dimensionally ...
Abstract: Current compressed video super-resolution methods have achieved promising performance, but they often assume that an input video is compressed under low-delay configurations. However, under ...
Cosmological,Field Samples,High Redshift,Morphological Classification,Point Spread Function,Size Evolution,Star Formation,Axial Ratio,Best Fit,Blue Dashed Line ...
Abstract: The rapid growth of clinical databases and electronic health records has facilitated the implementation of deep learning for predictive analytics in healthcare, particularly in high-risk and ...
Abstract: Wireless Sensor Networks comprise battery-operated devices optimized for minimal power consumption to maximize network lifespan, making them a major component in sustainable technology ...
Abstract: This paper is an approach towards the microwave characterization of breast cancer cells. In vitro models of breast cancer were prepared in the laboratory using immortalized cell lines and a ...
Abstract: Local path planning for autonomous driving often generates multiple candidates and selects a collision-free one based on geometric clearance over a finite prediction horizon. However, such ...
Abstract: System identification-based aerodynamic reduced-order model (ROM) is an effective method for solving nonlinear unsteady aerodynamics prediction. However, most of the ROMs are shallow neural ...
Abstract: In order to solve the problem of low accuracy of traditional neural networks for modulation mode recognition of negative SNR signals, a Dual Temporal-Freqency Joint Denoising Network and ...
Abstract: This article analyzes the lightning-induced voltage (LIV) waveforms generated by M-components recorded by rocket-triggered lightning experiments and performs numerical calculations to ...
Abstract: Compared with the existing neural network (NN) or fuzzy logic system (FLS) based adaptive consensus methods, the proposed approach can greatly alleviate the computation burden because it ...
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