The process of a supply chain involves a series of activities that distribute, assemble, and manage products, transferring them from the supplier to the end consumer. It operates as a complex, interconnected network r...
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In this paper, we analyze two versions of a texture synthesis algorithm, study the cases in which they fail to produce a successful result and present modifications that could be made to lessen their rates of failure....
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Connected cars are susceptible to cyberattacks. Security and safety of future vehicles highly depend on a holistic protection of automotive components, of which the time-sensitive backbone network takes a significant ...
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The use of insecure implementations of cryptographic systems makes encrypted communications vulnerable to practical attacks. Today, attacking, i.e. testing implementations requires human labour and an understanding of...
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Segmentation of multiple sclerosis lesions plays an important role in understanding disease status. In this work, we focus on the effectiveness of brain parcellation in enhancing the performance of segmentation for mu...
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A Digital Twin offers a revolutionary approach to analyzing scalable networks. By creating high-fidelity, fine-grained digital replicas of the network environment at a low cost, it facilitates comprehensive and safe a...
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With the release of ChatGPT, Pandora's box of generative AI has been opened and the new technology is here to stay. This also impacts academic education, where it provides new opportunities while also bearing cert...
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The MQTT (Message Queuing Telemetry Transport) protocol has become the standard for IoT (Internet of Things) communication due to its lightweight nature and efficiency. However, its centralized architecture, with a si...
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This work introduces an innovative security system prototype tailored explicitly for paying guest accommodations or hostels, blending Internet of Things (IoT), artificial intelligence (AI), machine learning algorithms...
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In response to the urgent need for coronavirus treatments, this research focuses on leveraging bioactivity data collection and processing for efficient drug discovery, employing computational methods to predict potent...
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