User identification is explored through EEG-based biometric analysis using different auditory stimuli, using the distinctiveness and security of EEG signals for reliable biometric authentication. The impact on system ...
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The analysis of artery and vein differences in Optical Coherence Tomography Angiography (OCTA) is of great significance for diagnosing various eye diseases and systemic diseases (such as diabetic retinopathy, hyperten...
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To address the critical challenge of pupil segmentation accuracy in medical image analysis, this paper proposes an innovative pupil segmentation method based on an enhanced TransUNet deep neural network. The proposed ...
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We rethink the segment anything model(SAM) and propose a novel multiprompt network called COMPrompter for camouflaged object detection(COD). SAM has zero-shot generalization ability beyond other models and can provide...
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We rethink the segment anything model(SAM) and propose a novel multiprompt network called COMPrompter for camouflaged object detection(COD). SAM has zero-shot generalization ability beyond other models and can provide an ideal framework for COD. Our network aims to enhance the single prompt strategy in SAM to a multiprompt strategy. To achieve this, we propose an edge gradient extraction module, which generates a mask containing gradient information regarding the boundaries of camouflaged objects. This gradient mask is then used as a novel boundary prompt, enhancing the segmentation process. Thereafter, we design a box-boundary mutual guidance module, which fosters more precise and comprehensive feature extraction via mutual guidance between a boundary prompt and a box prompt. This collaboration enhances the model's ability to accurately detect camouflaged objects. Moreover, we employ the discrete wavelet transform to extract high-frequency features from image embeddings. The high-frequency features serve as a supplementary component to the multiprompt ***, our COMPrompter guides the network to achieve enhanced segmentation results, thereby advancing the development of SAM in terms of COD. Experimental results across COD benchmarks demonstrate that COMPrompter achieves a cutting-edge performance, surpassing the current leading model by an average positive metric of 2.2% in COD10K. In the specific application of COD, the experimental results in polyp segmentation show that our model is superior to top-tier methods as well. The code will be made available at https://***/guobaoxiao/COMPrompter.
As is widely recognized, a prevalent term in the realm of Information technology (IT) these days is the Internet of Things (IoT). IoT is a revolutionary paradigm in the world of networks which primarily focuses on sha...
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ISBN:
(纸本)9783031751691;9783031751707
As is widely recognized, a prevalent term in the realm of Information technology (IT) these days is the Internet of Things (IoT). IoT is a revolutionary paradigm in the world of networks which primarily focuses on sharing information through 'Things'. The 'Things' refer to the devices or objects that usually communicate with each other over the IP network. The crucial component of an IoT network that determines the path is routing. In this paper, the simulation was accomplished by creating a network in NetSim Simulator. A dataset of smoke detection using IoT sensors was taken into consideration by accessing it from Kaggle for routing purposes. IoT network designed in NetSim, comprised of 13 sensor nodes, a 6LoWPAN Gateway, a router, and a server. An application was configured for each sensor to periodically generate packets and forward them to the server via the 6LoWPAN Gateway.
High-speed and ultra-low latency communication enabled by 5G technology will change vehicular network programs which demand robust group authentication to protect V2X (vehicle-to-everything) communications against cyb...
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network Intrusion Detection Systems (NIDS) play a crucial role in safeguarding computernetworks from unauthorized access and malicious activities. In this work, conducted a systematic examination of diverse machine l...
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Factors such as public sentiment and international travel patterns can significantly influence the spread of infectious diseases. In this study, we propose a novel approach that embeds public opinion and global aviati...
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This paper introduces a neural network designed to be lightweight (DL) for face expression recognition using dilation convolution without increasing parameters, enabling efficient global feature extraction. Incorporat...
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The development of wireless technology for ground communications is being aided by the use of unmanned aerial vehicles (UAVs). It is believed that these technologies will continue to advance in the next years. Traditi...
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