The traditional dead-block predictors have the problem of sub-trace aliasing, leading to unbounded wrong predictions. We believe that by including the information of execution footprints after the last touch, we can b...
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By comparing the application effects of traditional image feature extraction algorithms (such as SIFT and ORB) and deep learning models (such as D2Net and SparseNCNet) in this field, this study innovatively integrates...
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This paper presents a novel approach for air pollution monitoring using Photonic Crystal Fiber (PCF) with unique optical properties. Through Finite Element Method (FEM) simulations in COMSOL, the study explores how th...
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With China's scientific and technological level continuously improving in recent years, computer digital technology has become widely used in a variety of industries. People's lives are enriched by textile art...
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Drilling logs are crucial documents in petroleum engineering that record geological information, operational parameters, and technical data. They contain a wealth of unstructured textual information, which is essentia...
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Accurate prediction of network traffic is crucial to network resource management, whether it’s network resource provisioning or malicious attack detection, reliable network traffic prediction mechanisms are needed fo...
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This paper introduces a digital environment integrated design system based on computer artificial intelligence. The system integrates database and GIS technology, and realizes the functions of remote monitoring of key...
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Aiming at the control problem of USV formation dragging underpowered objects on water, this paper combines virtual structure and distributed predictive control algorithm. The virtual structure is used to ensure the st...
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In our modern world, which is full of technological advancements, being able to think innovatively is essential for coping successfully with life and work challenges. For specialists who are going to work in the field...
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The development of electric vehicles (EVs) has underlined the need of fast, reasonably priced, grid-stable charge scheduling schemes. This work maximizes EV charge scheduling using a Greedy Algorithm to solve dynamic ...
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