Development of RFID English Learning Supporting System for Elementary School Students in Taiwan [PDF]
[[abstract]]This study integrated situated learning strategies, Radio Frequency Identification (RFID) technology and handheld device (PDA) works with fifth grade English teachers to develop an English learning supporting system.
Ku, D.T.
core
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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 +2 more
wiley +1 more source
Robust automated prediction of the revised Vienna Classification in colonoscopy using deep learning: development and initial external validation. [PDF]
Yamada M +11 more
europepmc +1 more source
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Creation of prosocial play experiences inspired by Noddings’s ideas of centers of care
This paper describes the implementation of Noddings’s ideas of creating centers as a platform for developing in children caring, prosocial behavior. Different centers such as a veterinary center, grocery store, house, baby center, woodworking center ...
Krystyna Nowak-Fabrykowski +2 more
doaj
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
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 +8 more
wiley +1 more source
Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study. [PDF]
Varghese C +16 more
europepmc +1 more source
Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. [PDF]
Dashtban A +9 more
europepmc +1 more source
CTLT Newsletter: The Instructional and Pedagogical Resource Center for Pace Faculty [PDF]
Center for Teaching, Learning and Technology +1 more
core +1 more source

