Zobrazeno 1 - 10
of 422
pro vyhledávání: '"J.7"'
Autor:
Wertenbroek, Rick, Dassatti, Alberto
Modern operating systems manage and abstract hardware resources, to ensure efficient execution of user workloads. The operating system must securely interface with often untrusted user code while relying on hardware that is assumed to be trustworthy.
Externí odkaz:
http://arxiv.org/abs/2411.00439
Autor:
Fulir, Juraj, Jeziorski, Natascha, Bosnar, Lovro, Hagen, Hans, Redenbach, Claudia, Gospodnetić, Petra, Herrfurth, Tobias, Trost, Marcus, Gischkat, Thomas
The use of machine learning (ML) methods for development of robust and flexible visual inspection system has shown promising. However their performance is highly dependent on the amount and diversity of training data. This is often restricted not onl
Externí odkaz:
http://arxiv.org/abs/2410.14844
Deep learning models have made remarkable strides in precipitation prediction, yet they continue to struggle with capturing the spatial details of the features of radar images, particularly over high precipitation intensity areas. This shortcoming is
Externí odkaz:
http://arxiv.org/abs/2410.14103
Autor:
Scott, Stacey D., Abbas, Zayn J., Ellid, Feerass, Dykhne, Eli-Henry, Islam, Muhammad Muhaiminul, Ayad, Weam, Kacmorova, Kristina, Tulpan, Dan, Gong, Minglun
Precision livestock farming (PLF) aims to improve the health and welfare of livestock animals and farming outcomes through the use of advanced technologies. Computer vision, combined with recent advances in machine learning and deep learning artifici
Externí odkaz:
http://arxiv.org/abs/2410.05041
Publikováno v:
in Proceedings of the 5th IEEE International Symposium on the Internet of Sounds (IEEE IS2 2024, https://internetofsounds.net/is2_2024/)
This paper explores a structured application of the One-Class approach and the One-Class-One-Network model for supervised classification tasks, focusing on vowel phonemes classification and speakers recognition for the Automatic Speech Recognition (A
Externí odkaz:
http://arxiv.org/abs/2410.04098
The integration of the Internet of Things (IoT) into Cyber-Physical Systems (CPSs) has expanded their cyber-attack surface, introducing new and sophisticated threats with potential to exploit emerging vulnerabilities. Assessing the risks of CPSs is i
Externí odkaz:
http://arxiv.org/abs/2409.16176
Autor:
Dorsch, John, Moll, Maximilian
In the context of AI decision support systems (AI-DSS), we argue that meeting the demands of ethical and explainable AI (XAI) is about developing AI-DSS to provide human decision-makers with three types of human-grounded explanations: reasons, counte
Externí odkaz:
http://arxiv.org/abs/2409.14839
Application of Unmanned Aerial Vehicles (UAVs) in search and rescue, emergency management, and law enforcement has gained traction with the advent of low-cost platforms and sensor payloads. The emergence of hybrid neural and symbolic AI approaches fo
Externí odkaz:
http://arxiv.org/abs/2409.06608
Autor:
Dorsch, John, Deroy, Ophelia
This study explores whether labeling AI as "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Using a one-way between-subjects design, the research involved 478 online participants who were presented
Externí odkaz:
http://arxiv.org/abs/2408.10905
This paper presents the LiU-ICE fault diagnosis benchmark. The purpose of the benchmark is to support fault diagnosis research by providing data and a model of an industrially relevant system. Data has been collected from an internal combustion engin
Externí odkaz:
http://arxiv.org/abs/2408.13269