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Academic Articles & Research Papers
Showing 6 of 26 academic articles
Chen Xinyu, Hui Tianfang, Li Yanlin, Yang Haoyuan • ITM Web of Conferences
(2025)
As artificial intelligence (AI) is increasingly integrated into society, people are relying on it more and more, and higher requirements are put forward for the safety and ethical standards of AI. This article explores the development of ar...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/itmconf/20257004031
David Gunning, Mark Stefik, Jaesik Choi, Tim Miller et al. • Science Robotics
(2019)
Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications....
OPENALEX
Open Access
DOI: https://doi.org/10.1126/scirobotics.aay7120
Daniel Shu Wei Ting, Louis Robert Pasquale, Lily Peng, John Peter Campbell et al. • Springer eBooks
(2018)
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to i...
OPENALEX
Open Access
DOI: https://doi.org/10.1007/978-3-030-64573-1_200
PMC: 6362807
Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences
(2026)
Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16073565
J.E. Korteling, G. C. van de Boer-Visschedijk, Romy Blankendaal, Rudy Boonekamp et al. • Frontiers in Artificial Intelligence
(2021)
AI is one of the most debated subjects of today and there seems little common understanding concerning the differences and similarities of human intelligence and artificial intelligence. Discussions on many relevant topics, such as trustwor...
OPENALEX
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DOI: https://doi.org/10.3389/frai.2021.622364
PMC: 8108480
Beril Sirmacek, Maria Riveiro • Sensors
(2020)
Solving the challenge of occupancy prediction is crucial in order to design efficient and sustainable office spaces and automate lighting, heating, and air circulation in these facilities. In office spaces where large areas need to be obser...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20195497