Results 171 to 180 of about 34,638,984 (282)

Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?

Arthritis Care &Research, Accepted Article.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source

A study on the impact of project-based learning on students' learning motivation in animation programs. [PDF]

Front Psychol
Zhang Q, Lin C.
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Integrating project-based learning-flipped classroom to enhance students' engagement and historical critical thinking in secondary vocational schools. [PDF]

Front Psychol
Huang D, Chaumthong P, Liu Y, Namtubtim N.   +3 more
europepmc   +1 more source

Sustainable Engineering Design in Education: A Pilot Study of Teaching Right-to-Repair Principles through Project-Based Learning. [PDF]

Glob Chall, 2023
Fishlock S, Thompson M, Grewal A.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Integrating Project-Based Learning and Experiential Learning to Enhance Learning Outcomes in Long-Term Care Courses. [PDF]

Florence Nightingale J Nurs
Yang FC, Chen HM.
europepmc   +1 more source

Non-Laboratory Project-Based Learning for Final Year Bioscience Students: Lessons From COVID-19. [PDF]

Br J Biomed Sci, 2023
McKenna DJ.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Postgraduate nursing students' experiences in a project-based learning model: a qualitative focus group study. [PDF]

BMC Med Educ
Wang S, Yuan Y, Zhou C, He H, Wang Y.
europepmc   +1 more source