The landscape of computing technologies is changing rapidly, straining existing softwareengineering practices and tools. The growing need to produce and maintain increasingly complex multi-architecture applications m...
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Small targets in infrared imagery exhibit challenging characteristics due to their minimal semantic information and the extremely imbalanced distribution between the targets and the background. In this paper, we propo...
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In this paper, HTTP status codes are used as custom metrics within the HPA as the experimental scenario. By integrating the Random Forest classification algorithm from machine learning, attacks are assessed and predic...
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The proceedings contain 73 papers. The topics discussed include: leveraging ensemble learning for dry beans classification;portable edge computing system analysis for real-time detection and classification of wheat ye...
ISBN:
(纸本)9798350349719
The proceedings contain 73 papers. The topics discussed include: leveraging ensemble learning for dry beans classification;portable edge computing system analysis for real-time detection and classification of wheat yellow rust infection types using embedded AI;NanoCNN: a parameters efficient network for traffic sign recognition;a heuristic multimedia verticals aggregated search approach and user behavioral analysis;intelligent diagnosis of gasoline engine faults using acoustic features;modeling and control of boost converter: switched, averaged, and state-space comparison;harnessing long short term memory networks for stock market forecasts;enhancing misogyny detection in bilingual texts using FastText and explainable AI;and detection of ophthalmic disorders through deep feature fusion.
Neural enhancement through super-resolution (SR) deep neural networks (DNNs) opens up new possibilities for ultra-high-definition (UHD) live streaming. Yet, the heavy SR DNN inference overhead leads to severe deployme...
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Log file analysis has a critical role in monitoring and maintaining software systems, yet the manual inspection of logs becomes increasingly impractical with the growing volume of data. This survey paper explores rece...
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RDMA is a technology that enables extremely fast communication between different systems by allowing these systems to transfer data without using the CPU and operating system. This results in the rapid transfer of dat...
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Consent management is of paramount importance when processing personal data. It is now prescribed as mandatory by regulations such as the GDPR. This article presents a micro-service architecture providing a protocol f...
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ISBN:
(纸本)9789819608072;9789819608089
Consent management is of paramount importance when processing personal data. It is now prescribed as mandatory by regulations such as the GDPR. This article presents a micro-service architecture providing a protocol for access control including authentication, authorization management, and externalized consent management based on the ABAC (Attribute-Based Access Control) and the side-car architecture patterns. The experimentation on a case example validates that its integration is light and non intrusive for existing applications.
Among the many software technologies around the world,there is no parallel to cloud computing(CC).Businesses use cloud computing for hosting *** cloud computing, tasks are distributed across a group of resources which...
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The rapid advancements in artificial intelligence (AI) and deep learning have revolutionized various sectors, enabling unprecedented levels of innovation and efficiency. This paper delves into the transformative impac...
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