In this paper, a dual-circularly polarized (DCP), metasurface-loaded broadband antenna is designed to operate across frequencies covering the Sub-6 GHz 5G band for RF energy harvesting (RFEH) applications. The DCP ant...
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Constructing an effective common latent embedding by aligning the latent spaces of cross-modal variational autoencoders(VAEs) is a popular strategy for generalized zero-shot learning(GZSL). However, due to the lac...
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Constructing an effective common latent embedding by aligning the latent spaces of cross-modal variational autoencoders(VAEs) is a popular strategy for generalized zero-shot learning(GZSL). However, due to the lack of fine-grained instance-wise annotations, existing VAE methods can easily suffer from the posterior collapse problem. In this paper, we propose an innovative asymmetric VAE network by aligning enhanced feature representation(AEFR) for GZSL. Distinguished from general VAE structures, we designed two asymmetric encoders for visual and semantic observations and one decoder for visual reconstruction. Specifically, we propose a simple yet effective gated attention mechanism(GAM) in the visual encoder for enhancing the information interaction between observations and latent variables, alleviating the possible posterior collapse problem effectively. In addition, we propose a novel distributional decoupling-based contrastive learning(D2-CL) to guide learning classification-relevant information while aligning the representations at the taxonomy level in the latent representation space. Extensive experiments on publicly available datasets demonstrate the state-of-the-art performance of our method. The source code is available at https://***/seeyourmind/AEFR.
Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. Howeve...
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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. However, the traditional ISAC schemes are highly dependent on the accurate mathematical model and suffer from the challenges of high complexity and poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as a viable technique to address these issues due to its powerful learning capabilities, satisfactory generalization capability, fast inference speed, and high adaptability for dynamic environments, facilitating a system design shift from model-driven to data-driven. Intelligent ISAC, which integrates AI into ISAC, has been a hot topic that has attracted many researchers to investigate. In this paper, we provide a comprehensive overview of intelligent ISAC, including its motivation, typical applications, recent trends, and challenges. In particular, we first introduce the basic principle of ISAC, followed by its key techniques. Then, an overview of AI and a comparison between model-based and AI-based methods for ISAC are provided. Furthermore, the typical applications of AI in ISAC and the recent trends for AI-enabled ISAC are reviewed. Finally, the future research issues and challenges of intelligent ISAC are discussed.
In this study, a quad-port ultra-wideband (UWB) multiple input multiple output (MIMO) antenna with triple band-rejection characteristics is demonstrated. The suggested diversity MIMO antenna comprises four similar rec...
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Abstract: The hole transport layer (HTL) and electron transport layer (ETL) materials are critical in the CZTS photovoltaic (PV) cell, which provides excellent hole and electron capturing rates and a low minority carr...
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This research revolves around the design challenge of creating a compact, low-profile slotted fractal antenna with the capability to resonate across multiple frequency bands, thereby fulfilling the diverse requirement...
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Cardiovascular diseases are the world’s leading cause of death;therefore cardiac health of the human heart has been a fascinating topic for *** electrocardiogram(ECG)signal is a comprehensive non-invasive method for ...
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Cardiovascular diseases are the world’s leading cause of death;therefore cardiac health of the human heart has been a fascinating topic for *** electrocardiogram(ECG)signal is a comprehensive non-invasive method for determining cardiac *** health practitioners use the ECG signal to ascertain critical information about the human *** this article,swarm intelligence approaches are used in the biomedical signal processing sector to enhance adaptive hybrid filters and empirical wavelet transforms(EWTs).At first,the white Gaussian noise is added to the input ECG signal and then applied to the *** ECG signals are denoised by the proposed adaptive hybrid *** honey badge optimization(HBO)algorithm is utilized to optimize the EWT window function and adaptive hybrid filter weight *** proposed approach is simulated by MATLAB 2018a using the MIT-BIH dataset with white Gaussian,electromyogram and electrode motion artifact noises.A comparison of the HBO approach with recursive least square-based adaptive filter,multichannel least means square,and discrete wavelet transform methods has been done in order to show the efficiency of the proposed adaptive hybrid *** experimental results show that the HBO approach supported by EWT and adaptive hybrid filter can be employed efficiently for cardiovascular signal denoising.
In this article, a comprehensive performance analysis of the emerging and novel TreeFET is demonstrated at 3-nm technology node. The TreeFET is realized by combining nanosheet FET (NSFET) and fin-like interbridge (IB)...
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Commercially available Light Emitting Diode (LED) luminaries requires both high power efficiency and low complexity from Visible Light communication (VLC) system deployments. Asymmetrically-clipped Direct-current (DC)...
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In the field of digital watermarking significant research is going on for enhancing the medical data security. As we know, for enhancing the data security, authenticity and copy protection from intruders, digital wate...
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