Neural representations of handwriting persist even years after paralysis, which was previously employed to build high performance brain-computer interfaces (BCI) for brain-to-text communication. However, handwriting w...
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An essential diagnostic technique for brain tumors, Magnetic Resonance Imaging (MRI) enables early detection and improved patient outcomes. However, manual interpretation of MRI scans can be time-consuming and subject...
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This work aims to improve plant disease prediction through the implementation of an intriguing and revolutionary model that combines refined algorithms for machine learning with predictive analytics strategies. The go...
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This edited transcript records a keynote address at the SETSS 2024 Workshop. It provides some thoughts on formal softwareengineering approach in the light of experience and recent developments such as Artif...
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As the digital transformation of education continues to advance, the inefficiency and subjectivity of traditional manual scoring methods have become increasingly prominent. To address this issue, this study developed ...
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Based on the actual engineering requirements, this paper designs a nozzle for low recoil gun to reduce recoil. Based on the empirical formula, the nozzle throat diameter, outlet diameter, convergent section angle and ...
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Effectively identifying computer network attacks is still a challenge. This is due to recent attempts by cybercriminals to spoof intrusion detection systems (IDS) by altering packet contents. Additionally, the compute...
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Recently, metaverse technology has seen a boom in users. However, data privacy, security, connectivity, and computational complexity are still the main issues that ruin the user experience and make the metaverse less ...
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An Online Crime Management System has been developed to enhance the effectiveness and efficiency of criminal investigations and data management for law enforcement agencies. This web-based platform provides multiple a...
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Representation learning on spatial networks is emerging as a distinct area in machine learning and is attracting much attention in diverse domains. Some applications include molecular graphs for drug discovery and scr...
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