With the increasing richness of the functions carried on top of the car, the amount of data generated on the nodes carried on the vehicle CAN bus is getting bigger and bigger, and it takes more and more time to upload...
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Text-to-speech (TTS) turns written text into spoken words using artificial voices. This uses natural language processing (NLP) and speech synthesis to make audio from text input. TTS has many uses - for people with vi...
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The dangerous disease and ailment known as COVID-19 has caused a global pandemic and immeasurable damage to people all around the globe. Chest X-Rays are being used to identify COVID-19 in current times due to their l...
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With the rise of precision agriculture, efficiently identifying fruit tree locations and optimizing operational paths have become increasingly challenging. To address these issues, we developed an integrated path auto...
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3D object reconstruction is a vital obstacle within computer vision, and several techniques have been proposed to tackle it. However, the automation of the reconstruction process continues to pose a significant challe...
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One of the prime technological advancements in modern healthcare solutions is smart and interconnected wearable devices. The progress of the Internet of Things (IoT) has facilitated the ability of wearable devices to ...
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Marine communication technology is crucial in scientific research, national security, environmental monitoring and other fields, but facing challenges such as open channel and dynamic topology, secure transmission tec...
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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...
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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.
Brain tumor surgeries are surgical procedures aimed at removing cancerous tumors. During brain tumor surgery, deformations in the brain or changes in brain tissue position, known as brain shift, occur and are a common...
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Aiming at the problems such as high missed detection rate and inaccurate positioning caused by complex background, large number and dense distribution of small targets in UAV aerial photography target detection tasks,...
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