In each field, there is a need for better collaborative efforts among team members. The software development community is currently concentrating its efforts on developing tools that will make this endeavor easier. As...
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Fast and accurate rainfall predictions are needed to improve preparedness for climate change. This work applies Internet of Things (IoT) technology in real-time weather monitoring prototype through the development of ...
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Medical image classification plays a key role in computer-aided detection and diagnosis systems. Conventional machine learning, neural network-based approaches strongly depends on the type of features i.e. texture, ed...
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Intelligent Video surveillance is one of the most emerging technologies in computer vision, used for object detection and locating within the video or image. Majority of the research are carried on the Yolo algorithm ...
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The prognosis of Parkinson's disease is one of the maximum critical hassles that must be investigated in the early levels of the graduation of the disorder to be able to lessen the disorder development rate of the...
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In addressing the need for test case generation in software projects and the validation and repair processes, various algorithms and AI models are increasingly being applied with novel approaches. On the other hand, d...
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ISBN:
(数字)9798350378979
ISBN:
(纸本)9798350378986
In addressing the need for test case generation in software projects and the validation and repair processes, various algorithms and AI models are increasingly being applied with novel approaches. On the other hand, despite the established effectiveness of the Test-Driven Development (TDD) approach in testing and development, there is still a lack of research examining the impact of human-machine interaction on software validation and coding. This paper introduces a tool, the test-skeleton generator, which utilizes an OpenAI model to generate test skeletons. These skele-tons include test names, signatures, and scenario descriptions, omitting the actual test bodies. To explore the implications of this tool, an empirical experiment involving student participation was conducted to assess the conversion of test skeletons into functional tests with human-machine interaction. The study reveals significant insights, indicating that human-machine interaction plays a crucial role in shaping both the testing and programming phases, encouraging students to prioritize writing tests before modifying source code. Teams adopting this approach demonstrate a tendency to produce more tests, leading to higher code coverage. Additionally, our research underscores the growing potential of AI language models to generate tests that closely resemble those written by human developers. Notably, human-machine interaction has proven its significant positive impact on the validation and repair process of AI -generated tests.
There is strong interest in developing mathematical methods that can be used to understand complex neural networks used in image analysis. In this paper, we introduce techniques from Linear Algebra to model neural net...
There is strong interest in developing mathematical methods that can be used to understand complex neural networks used in image analysis. In this paper, we introduce techniques from Linear Algebra to model neural network layers as maps between signal spaces. First, we demonstrate how signal spaces can be used to visualize weight spaces and convolutional layer kernels. We also demonstrate how residual vector spaces can be used to further visualize information lost at each layer. Second, we study invertible networks using vector spaces for computing input images that yield specific outputs. We demonstrate our approach on two invertible networks and ResNet18. 1 1 Code can be accessed at https://***/rpattichis/ SSIAI_VectorSpaces.
Village development is accelerated through the smart village program. Village development in Indonesia, including West Java Province, is measured using the Developing Village Index (IDM). The 50 villages that are the ...
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This research focuses on the application of image recognition, motion detection, and artificial intelligence techniques to achieve real-time identification and analysis of human movements in a dynamic manner. The prim...
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Large-scale latent variable models require expressive continuous distributions that support efficient sampling and low-variance differentiation, achievable through the reparameterization trick. The Kumaraswamy (KS) di...
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