To learn Agile/DevOps practices effectively, students need to apply them in an actual software development project. This is challenging if students are mostly from non-computing backgrounds and they do not have time i...
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In this work, InceptionV3 is applied to identify cardiomegaly from chest X-ray images through a deep learning technique. The dataset, sourced from Kaggle, contains 5, 552 balanced images across two classes: The presen...
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Old style cryptographic techniques are genuinely compromised by the development of quantum computing, which requires the formation of safety ideal models that are impervious to quantum mistakes. A new permissioned blo...
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作者:
Chen, JinhuanSchool of Marxism
Guangdong Polytechnic of Environmental Protection Engineering Guangdong Foshan528216 China
The advent of the big data era has brought the biggest impact on education work is the use of all kinds of informationtechnology in education work. The use of informationtechnology can significantly improve the qual...
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This research describes a novel approach to hospital visitor screening utilizing cloud-powered deep learning using convolutional neural networks (CNNs). Our proposed approach will fill this need by improving threat de...
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Cloud computing has completely evolved the way health care data is managed, but it also introduces critical security vulnerabilities that can compromise the privacy of patient information and threaten regulatory compl...
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Deepfake technology uses generative adversarial networks to produce highly authentic counterfeit images and videos, which raises a significant global security concern by disseminating fake information through online p...
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To precisely monitor farmland conditions, we need to mitigate the risk of crop yield reduction due to natural disasters and other factors, and enhance the accuracy of agricultural production decisions, an agricultural...
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When complex computing in programming is mandatory, it’s important to choose a proper way to minimize execution time. Sequential and parallel approaches to source code execution each have their own pros and cons, and...
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ISBN:
(数字)9798331517649
ISBN:
(纸本)9798331517656
When complex computing in programming is mandatory, it’s important to choose a proper way to minimize execution time. Sequential and parallel approaches to source code execution each have their own pros and cons, and programmers must make valid decisions based on these factors. In this paper, we will conduct the comparative analysis of the performances of both approaching ways, and consider their application in different business and mathematics areas. Based on the experimental results, it was concluded that as the volume of the data processed by the program increases, parallel execution becomes more favorable, whereas sequential execution is more efficient for smaller data sizes. Additionally, the point at which sequential execution ceases to be more efficient was identified.
Video question answering (VideoQA) has recently gained considerable attention in the field of computer vision, aiming to generate answers rely on both linguistic and visual reasoning. However, existing methods often a...
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