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Keywords: artificial intelligence/machine learning
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Journal Articles
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2024, 3: 031019.
Paper No: AOJE-24-1045
Published Online: July 12, 2024
... learning RL collision avoidance artificial intelligence/machine learning decision-making knowledge engineering In recent years, the integration of artificial intelligence (AI) into engineering work processes has significantly advanced the automation and optimization of complex tasks...
Journal Articles
Publisher: ASME
Article Type: Editorial
ASME Open J. Engineering. January 2023, 2: 020201.
Paper No: AOJE-23-1043
Published Online: November 6, 2023
... intelligence artificial intelligence/machine learning biological systems applications biotechnology medical devices and equipment minimally invasive devices sensors This extensive review presents different types of biosensors with nano and microscale dimensions used for biological applications...
Journal Articles
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2023, 2: 021006.
Paper No: AOJE-22-1094
Published Online: January 11, 2023
... Equal contribution by both authors. 18 08 2022 01 12 2022 05 12 2022 11 01 2023 hydraulic valve health monitoring ensemble learning 1D CNN artificial intelligence/machine learning data-driven engineering detection methods diagnostic decision support diagnostic...
Journal Articles
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2022, 1: 011024.
Paper No: AOJE-21-1067
Published Online: June 14, 2022
...@marine.osakafu-u.ac.jp Email: m.maekawa.marine@gmail.com Email: r.ashida.marine@gmail.com Email: t_kato@marine.osakafu-u.ac.jp Email: notsu@cs.osakafu-u.ac.jp 10 11 2021 20 04 2022 22 04 2022 14 06 2022 artificial intelligence/machine learning computer aided...
Journal Articles
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2022, 1: 011021.
Paper No: AOJE-21-1070
Published Online: May 9, 2022
...) Kampmann–Wagner Numerical (KWN) approach‌ artificial intelligence/machine learning data-driven design design of engineered materials system innovative material synthesis and manufacturing methods metallic materials microstructure property relationships Aluminum is one of the most abundant...