Results 111 to 120 of about 1,988,212 (277)
The Applications and Trends of Artificial Intelligence in Human Movement Assessment
Artificial intelligence (AI) is a scientific and engineering discipline that involves designing systems capable of autonomously replicating the cognitive functions typically associated with human intelligence.
Saeid Edriss +5 more
doaj +1 more source
Corpus-based data-driven learning (DDL) is an innovation in teaching and learning new vocabulary for EFL students. Using teacher-prepared materials obtained from COCA corpus, the goal of the present study is to compare DDL and traditional methods of ...
Elyas Barabadi, Yaser Khajavi
doaj +1 more source
Fast data-driven learning of parallel MRI sampling patterns for large scale problems. [PDF]
Zibetti MVW, Herman GT, Regatte RR.
europepmc +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
(Lexico)grammar and Data-Driven Learning
Among the different aspects of language that data-driven learning (DDL) can be used for, this entry focuses on lexicogrammar and grammar. It starts by showing that DDL has been applied more often to lexicogrammar than to grammar. It then presents the ways in which each of them can be approached through DDL, with some illustrations taken from the ...
openaire +2 more sources
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
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
The Impact of Data-Driven Learning on Medical Students\' English Academic Writing [PDF]
Introduction: Data-driven learning has emerged as a powerful method in language teaching and has drastically changed the traditional methods of teaching and learning, especially in academic writing.
Amin Dehghan +2 more
doaj
Corpus-based data-driven learning (DDL) is an innovative approach that utilises electronic text collections for linguistic analysis, thereby enhancing teaching practices and learning skills for ESL/EFL students.
Sabina Sultana +3 more
doaj +1 more source

