Self-Sovereign Identity (SSI) systems aim to enable citizens to control their personal data, allowing them to manage and share their identity information securely and privately. they have promising features compared t...
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this paper describes the research and development efforts that went into the design of a software solution capable of identifying and classifying logic gates and their connections from a circuit diagram drawn by hand....
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An on-line vibration detection method for power transformers is introduced. this design includes sensor module, real-time processing module, PC module. the sensor module collects the vibration, voltage, load voltage a...
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Deep learning has significantly advanced object detection, with transformer-based models achieving notable improvements in both accuracy and efficiency. Despite their success, these models are inherently complex, maki...
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the Online social networks (OSN) popularity and use increases recently. Due to their immense popularity across a wide range of users, hackers use this platform to spread fake news, promotion of specific ideas and prod...
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the Go programming language, introduced by Google in 2009, is valued for its simplicity, efficiency, and strong concurrency support. Its widespread adoption across various domains necessitates a purpose-built framewor...
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Information clicks are the basic data support for user recommendation behavior based on big data algorithms, and their accuracy is of great significance to information recommendation on contemporary platforms. Predict...
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Flood disasters cause significant damage and loss of life globally, demanding efficient disaster response mechanisms. Visual Question Answering (VQA) systems, which integrate visual and textual data to answer user que...
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In this article, we perform continual reinforcement learning (CRL) experiments using two benchmarks that rely on a physically simulated robot with a differential drive. CRL is a flavor of reinforcement learning (RL) i...
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We propose Area Disagreement, a novel uncertainty estimation method for Active Learning in the context of Semantic Segmentation, which capitalizes on the unique characteristics of the task. It relies on the assumption...
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