The rapid spread of diseases and pest infestations has a detrimental effect on plant health. Methods for disease classification and detection have gained new insights from the developments in computer vision and deep ...
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The Docker technology makes the process of developing software substantially more effective by resolving issues related to deployment and hosting. Through the use of virtualization, it is able to function independentl...
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Modern compilers often offer a variety of warning flags, which developers can enable to get feedback on code that, while syntactically correct, may be problematic. In the case of C++, one example of such 'correct ...
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Diffusion models have recently proven successful in stochastic human motion prediction. Despite their excellent generative performance, they are difficult to predict in real-time because the multi-step sampling mechan...
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Students learning with intelligent tutoring systems (ITS) do not always trust system recommendations. One solution for this is explainable AI (XAI), which is shown to increase trust in AI. Our research focuses on how ...
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ISBN:
(纸本)9783031630279;9783031630286
Students learning with intelligent tutoring systems (ITS) do not always trust system recommendations. One solution for this is explainable AI (XAI), which is shown to increase trust in AI. Our research focuses on how students' personality traits affect their interactions with XAI, and how XAI affects students' trust and actions in an ITS. We evaluated this by adding XAI to SQL-Tutor and conducting a pilot study with 15 participants from an introductory database course. We found that personality traits affect students' interactions with XAI, and that students engaging with XAI trust the system more.
Contrasting the idea of a team with all-round testers, the Testing Hopscotch model includes six complementary profiles, tailored for different types of testing. The model is based on 60 interviews and three focus grou...
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ISBN:
(纸本)9783031492655;9783031492662
Contrasting the idea of a team with all-round testers, the Testing Hopscotch model includes six complementary profiles, tailored for different types of testing. The model is based on 60 interviews and three focus groups with 22 participants. The validation of the Testing Hopscotch model included ten validation workshops with 58 participants from six companies developing large-scale and complex software systems. The validation showed how the model provided valuable insights and promoted good discussions, helping companies identify what they need to do in order to improve testing in each individual case. The results from the validation workshops were confirmed at a cross-company workshop with 33 participants from seven companies and six universities. Based on the diverse nature of the seven companies involved in the study, it is reasonable to expect that the Testing Hopscotch model is relevant to a large segment of the software industry at large. The validation of the Testing Hopscotch model showed that the model is novel, actionable and useful in practice, helping companies identify what they need to do to improve testing in their organization.
The photovoltaic power prediction is studied from three aspects in this paper, data correction, cluster analysis and prediction modelling. Firstly, the historical data of photovoltaic power station is used to explore ...
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Currently, the majority of diagnoses in the field of mechanical faults are performed by experts or expert systems, which require domain experts to guide the completion while having subpar and limited portability. Cons...
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According to the parameters of the Chengliwei CLW5165ZZZD5 garbage truck, the hydraulic system of the lifting device is designed and simulated. Firstly, the working pressure of the hydraulic system is calculated, and ...
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This manuscript explores the capability of deep learning technology within the software of emotional text analysis (ETA). In particular, we consciousness of using lengthy quick-time period reminiscence (LSTM), convolu...
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