High-performance processors are rapidly evolving. With benefits like increased processing speeds, lower energy consumption, and improved parallel processing capabilities, multi-core processors are gradually replacing ...
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The AI era established significant challenges for software developers, especially those working on Machine Learning (ML)-based software. This article presents the findings of a systematic literature review (SLR) focus...
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ISBN:
(纸本)9798350393156
The AI era established significant challenges for software developers, especially those working on Machine Learning (ML)-based software. This article presents the findings of a systematic literature review (SLR) focused on identifying software engineering practices for ML-based software development. We identified 16 primary studies highlighting the challenges scientists face in lacking software engineering training when developing ML-based software. The results emphasize the importance of documentation, standardized processes, and skills acquisition to overcome these challenges effectively in the AI era.
With AI increasingly affecting software systems, there is a pressing need to prepare the next generation of software engineers to build AI-intensive systems proficiently. This work outlines our instructional approach ...
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ISBN:
(纸本)9798350378986;9798350378979
With AI increasingly affecting software systems, there is a pressing need to prepare the next generation of software engineers to build AI-intensive systems proficiently. This work outlines our instructional approach in the "engineering of AIintensive Systems" course for postgraduate computerscience students to bridge the knowledge gap between software engineering (SE) and artificial intelligence (AI) disciplines. Our paper elaborates on the course's framework, pedagogical strategies, and evaluation methods, emphasizing the benefits of this interdisciplinary educational model.
Existing multi-view 3D reconstruction methods based on PatchMatch encounter issues due to fixed patches, which limit the receptive field and lead to matching ambiguities in occluded areas. To address this issue, a dyn...
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With rapidly expanding cloud-enabled big data environments, there is an imperative need for efficient data-sharing mechanisms that are multidimensional and balance both speed and security. In this connection, high-spe...
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Microservices architecture has advantages such as independent development, independent deployment, scalability, and reusability. However, faults are inevitable during the operation of microservices systems. This paper...
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The field of cybersecurity is constantly evolving, necessitating the development of Machine Learning (ML) models for Domain Name System (DNS) anomaly detection that prioritize high accuracy alongside operational effic...
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multi-scale object detection and category has grown to be important duties in numerous domain names, including laptop imaginative and prescient, autonomous driving, and surveillance. The task aims to develop a complet...
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Breast cancer is a prevalent tumor across women and is associated with a high mortality rate. Prompt diagnosis is one of the biggest challenges that needs to be addressed globally, as it can considerably improve survi...
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As deep learning advances, neural network technologies are increasingly penetrating the field of steel surface defect detection. To tackle the challenges of low accuracy and inadequate quality, we introduce CMS-YOLOv8...
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