This research introduces an automated road extraction model utilizing deep learning techniques for high-resolution aerial imagery. Focused on applications in urban planning, disaster management, and logistics, the stu...
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In the rapidly evolving field of nuclei segmentation, there is an increasing trend towards developing a universal segmentation model capable of delivering top-tier results across diverse datasets. While achieving this...
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It is becoming increasingly important for society to identify hate speech on social media. Differentiating hate speech from other instances involving offensive language is a significant difficulty for automatic hate s...
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Sixth-generation (6G) networks are expected to support an exponential increase in connected devices and address critical concerns such as capacity, coverage, and privacy. However, one significant concern is the digita...
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We develop a novel generative model to simulate vehicle health and forecast faults, conditioned on practical operational considerations. The model, trained on data from the US Army’s Predictive Logistics program, aim...
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E-portfolios have emerged as powerful tools in the education and professional development fields, enabling learners to showcase their skills, achievements, and credentials in a digital format. However, ensuring the se...
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The DDoS attack stands as Distributed Denial of Service attack refers a harmful effort to intercept on the regular traffic of a targeted web service or server. DDoS attack interferes with the normal network flow of th...
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This study introduces SmartPattern, a novel machine learning-based framework to detect reentrancy attacks in smart contracts, a critical threat to blockchain security. Analyzing 40,000 smart contract, SmartPattern ach...
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This paper reports an opto-electro-thermal analysis of VCSEL structures with a surface-relief filter and different aperture diameters. 808-nm GaAs/AlGaAs VCSELs with different aperture diameters and different surface-...
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— This paper addresses the challeng. of forecasting time-series data, including mixed-frequency data. The proposed method integrates high-frequency features with low-frequency outputs by capturing essential dynamics ...
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