Zero-Shot Sketch-basedimage Retrieval (ZSSBIR) is an emerging task. The pioneering work focused on the modal gap but ignored inter-class information. Although recent work has begun to consider the triplet-based or co...
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Deep learning models, particularly convolutional neural networks (CNNs), have achieved remarkable results in the field of medical imaging. However, this domain demands exceptionally high precision, reliability, and in...
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Underwater optical imaging is prone to image distortion, blurring and other problems arising from thermal disturbance. To tackle down the above-mentioned problems, underwater images affected by thermal disturbance are...
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Transformer-based networks have achieved great success in image captioning because of the attention mechanism that finds relevant image locations for each word. However, the current cross-attention process, which alig...
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Magnetic Particle Imaging (MPI) is a new imaging modality that allows to visualize the spatial distribution of magnetic nanoparticles (MNPs) based on the measurement of their nonlinear dynamic magnetization. In MPI, t...
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The explosion of information available on the internet has led to an overwhelming amount of data that is available to users. The ability to efficiently consume and comprehend this information is crucial for productivi...
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Encryption technique is widely used to ensure security in communication and wireless networks such as the internet, Networking zone and Intranet. Every type of data has its own characteristics consequently, to safegua...
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This paper presents a new concept of health observation and connectivity to Medicinal experts at a distance. In the present era, the internet of Things (IoT) is changing the way technology infrastructure functions. Th...
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This article proposes a self-localization method for narrowband internet of things (NB-IoT) networks. The proposed system uses the received signal strength indicator (RSSI) with a trilateration algorithm to determine ...
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Understanding human emotions is crucial for effective communication and interaction. Emotion recognition systems have gained considerable attention due to their potential applications in various fields, such as health...
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