Grid automation is widely used in finite element analysis, computational fluid dynamics and other fields. Its core lies in accurately dividing complex geometries into suitable grids for numerical calculations. To solv...
详细信息
The paper details the architecture of an automated measurement system application developed in Python. It leverages packages such as PyVISA, Pandas, and PyQt6 for its graphical user interface. The application is utili...
详细信息
Recent advances in AI demonstrate its capacities to not only automate more and more everyday tasks, but also make direct Human-AI-Interaction possible. When using AI models in production, we might face situations wher...
详细信息
ISBN:
(纸本)9783031592348;9783031592355
Recent advances in AI demonstrate its capacities to not only automate more and more everyday tasks, but also make direct Human-AI-Interaction possible. When using AI models in production, we might face situations where the AI is confronted with input data that is very different from the data it was trained on. Such situations are called Out-of-Distribution situations and can result in misleading AI inferences. We argue that identification, handling, and prevention of Out-of-Distribution situations is key for creating production-ready interactive AI components. In this paper, we test the robustness of state-of-the-art AI/ML approaches in Out-of-Distribution situations and propose a research agenda to gather a deeper understanding of how to identify, handle, and prevent such situations in interactive applications.
Clinical the healthcare and awareness towards it is now most prominent among the living beings in the world. The mobile health and healthcare are now increasing among the populations over the worlds. Thus, the focus o...
详细信息
With the emergence of GPT developed by the OPENAI team, artificial intelligence is in a thriving stage of development. This article aims to design and implement an intelligent data analysis platform based on artificia...
详细信息
Participatory citizen platforms are innovative solutions to digitally better engage citizens in policy-making and deliberative democracy in general. Although these platforms have been used also in an engineering conte...
详细信息
Vehicular ad hoc networks (VANETs) take vital role in intelligent transportation systems, but they face challenges due to dynamic network topology, impacting communication efficiency, especially with increasing active...
详细信息
This study examines to what extent the testing of traditional software components and machine learning (ML) models fundamentally differs or not. While some researchers argue that ML software requires new concepts and ...
详细信息
ISBN:
(纸本)9798350333350
This study examines to what extent the testing of traditional software components and machine learning (ML) models fundamentally differs or not. While some researchers argue that ML software requires new concepts and perspectives for testing, our analysis highlights that, at a fundamental level, the specification and testing of a software component are not dependent on the development process used or on implementation details. Although the softwareengineering/computerscience (SE/CS) and Data science/ML (DS/ML) communities have developed different expectations, unique perspectives, and varying testing methods, they share clear commonalities that can be leveraged. We argue that both areas can learn from each other, and a non-dual perspective could provide novel insights not only for testing ML but also for testing traditional software. Therefore, we call upon researchers from both communities to collaborate more closely and develop testing methods and tools that can address both traditional and ML software components. While acknowledging their differences has merits, we believe there is great potential in working on unified methods and tools that can address both types of software.
Graphical User Interface (GUI) testing is one of the primary approaches for testing mobile apps. Test scripts serve as the main carrier of GUI testing, yet they are prone to obsolescence when the GUIs change with the ...
详细信息
Simulation tools are important auxiliary tools for scientific research. Design method of a practical and convenient simulation software for visual simulation of collaborative formation control for mobile robot cluster...
详细信息
暂无评论