Contrastive Learning Model for Wearable-Based Ataxia Assessment. [PDF]
Lee J +6 more
europepmc +1 more source
Clinical, histological, and serological predictors of renal function loss in lupus nephritis.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
Weakly Supervised Learning Creates a Fusion of Modeling Cultures
Chengliang Tang, Gan Yuan, Tian Zheng
openalex +1 more source
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
DefensePredictor: A machine learning model to discover prokaryotic immune systems. [PDF]
DeWeirdt PC, Mahoney EM, Laub MT.
europepmc +1 more source
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
Problem-Based Learning and Flipped Classroom: Can it Improve Student Achievement?
The low learning achievement of students is still a problem in the world of education. The application of learning models by less innovative teachers is the main problem.
Lutfiyati Mardiyah, Anis Sunarsi
doaj
Penerapan Model Pembelajaran Problem Based Learning untuk Meningkatkan Motivasi Belajar Siswa
Lalu Muhammad Maqbul Alghifari +2 more
openalex +2 more sources
Thermodynamically consistent machine learning model for excess Gibbs energy. [PDF]
Hoffmann M +6 more
europepmc +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

