An increased number of vehicles on the roads increases the risk of accidents and eventually resulted huge loss of lives and property. Accident detection utilizing computer vision in much consideration as of late. The ...
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This paper introduces an Arabic News Recommendation System (ANRS) designed to enhance personalized news recommendations for Arabic-speaking users. By leveraging a multi-head self-Attention mechanism, the proposed mode...
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In 3D printing, support-structure decisions for CAD models heavily rely on expert knowledge. Automatically evaluating CAD geometry and deciding the need for support structures remains challenging. This study adopts th...
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ISBN:
(纸本)9780791888117
In 3D printing, support-structure decisions for CAD models heavily rely on expert knowledge. Automatically evaluating CAD geometry and deciding the need for support structures remains challenging. This study adopts the Oriented Fast and Rotated BRIEF feature detector and descriptor to match geometric features among CAD models and predict support-structure decisions for printing a new CAD model. This work demonstrates the potential of automating 3D printing process planning with AI tools.
Visual-language models based on CLIP have shown remarkable abilities in general few-shot image classification. However, their performance drops in specialized fields such as healthcare or agriculture, because CLIP'...
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The growing rate of chronic kidney disease and a shortage of renal specialists make renal dysfunction a major worldwide health concern. This study, which makes use of technological breakthroughs, suggests an AI-driven...
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The Bank Credit Decision-Making Problem (BCDMP) is one of the main issues that bank operations need to face. To obtain the maximum profit value and optimal loan plan of the bank as much as possible, this article sugge...
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In this article, trust-based relay node selection and efficient multi hop clustering model (TRSEMC) is developed. The core modules of this model are efficient network construction, multi hop clustering and vertical tr...
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The use of terahertz, extremely large-scale multiple-input multiple-output (XL-MIMO) systems in 6G is driven by its potential to deliver unprecedented data rates, alleviate spectrum congestion, and improve network eff...
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In recent years, deep learning has shown great potential in the field of brain-computer interfaces, especially Long Short-Term Memory (LSTM) networks, which have achieved good performance in EEG source imaging. In thi...
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In response to the problems of weak timeliness and large errors in traditional algorithms in complex scenes, a Bayesian based multi-target tracking model (BFMTT) was designed by introducing the theory of random finite...
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