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A review of physics-based machine learning in civil engineering
Results in Engineering, 2022 The recent development of machine learning (ML) and Deep Learning (DL) increases the opportunities in all the sectors. ML is a significant tool that can be applied across many disciplines, but its direct application to civil engineering problems can be ...
Shashank Reddy Vadyala +2 more
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An Overview of Teaching Physics for Undergraduates in Engineering Environments
Education Sciences, 2019 This paper is an overview of approaches to teaching physics courses delivered to students of engineering disciplines. It addresses, first, the history of teaching physics to engineering students starting in the early 20th century, then reviews the main ...
Zalewski Janusz, Janusz Zalewski
exaly +3 more sources
Education SciencesProblem-based learning (PBL) is an educational method which involves learning by solving real problems. However, applying a PBL approach to engineering subjects in some cases became a challenging issue. Thus, it is important to determine the best ways in
Liutauras Marcinauskas +2 more
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U.Porto Journal of Engineering, 2022 This special issue of University of Porto Journal of Engineering contains selected papers presented at the 4th Symposium on Engineering Physics that took place on the 28th and 29th of June 2021, in the Doctoral Congress in Engineering 2021.
Joana Oliveira +2 more
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INVESTIGATION the SIGNIFICANT REDUCTION IN ENGINEERING APPLICANT
آموزش مهندسی ایران, 2021 Students wishing to study engineering, mathematics and physics at Iranian universities are only graduates of high school mathematics- physics majors. Over the past two decades, there has been a significant reduction in the number of students choosing ...
Parviz Jabehdar Maralani
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Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook
Algorithms, 2023 For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL), a paradigm hybridizing physics-based models and deep neural networks ...
Xuan Di +3 more
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Use of Video for Teaching Sports Mechanics
Proceedings, 2020 There is a shortage of young people studying physics and engineering and these professions could benefit from greater diversity. Sports engineering is often used as a tool to change the public perceptions of engineering and sporting examples can be used ...
John Eric Goff, Tom Allen
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Framework for unpacking students’ mindsets in physics by gender
Physical Review Physics Education Research, 2022 Physics is a science, technology, engineering, and mathematics discipline in which women are severely underrepresented. Prior work has identified motivation-based explanations for low participation and retention rates of women in physics.
Z. Yasemin Kalender +4 more
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NEAR THE ORIGINS OF MILLIMETER WAVE RADAR (90-th anniversary of Vadym В. Razskazovsky) [PDF]
Radio Physics and Radio Astronomy, 2023 This paper is dedicated to the 90-th anniversary of Vadym Borysovych Razskazovsky, an outstanding scientist in the fields of radio engineering and radio science, holder of the titles and positions like DSc (Engineering), Professor, and Head of the ...
O. O. Kostenko +2 more
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آموزش مهندسی ایران, 2008 One of the scientific methods of solving physics and engineering problem is to analyze natural phenomenon and then modeling them mathematically. In fact mathematical model for a physics or engineering problem is the statement of reality which governs the
Mahammad Jahanshahi
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