Results 171 to 180 of about 66,699 (304)

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Rule-based classifiers and meta classifiers for identification of cardiac autonomic neuropathy progression

, 2012
We investigate and compare several rule-based classifiers and meta classifiers in their ability to obtain multi-class classifications of cardiac autonomic neuropathy (CAN) and its progression.
Stranieri, Andrew, Jelinek, Herbert, Kelarev, Andrei, Yearwood, John   +3 more
core  

Foreign Body Response to Neuroimplantation: Machine Learning-Assisted Quantitative Analysis of Astrogliosis. [PDF]

Int J Mol Sci
Melnikova AA, Egorchev AA, Rosin AA, Nurullin LF, Lipachev NS, Vedischeva DS, Derzhavin DV, Perepechenov SS, Sukhodolova EA, Shabernev GV, Titova AA, Kiyamova RG, Kiyasov AP, Chickrin DE, Aganov AV, Samigullin DV, Popova IY, Paveliev M.   +17 more
europepmc   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Application of bagging, boosting and stacking to intrusion detection

, 2012
This paper investigates the possibility of using ensemble algorithms to improve the performance of network intrusion detection systems. We use an ensemble of three different methods, bagging, boosting and stacking, in order to improve the accuracy and ...
Syarif, Iwan, Prugel-Bennett, Adam, Wills, Gary, Zaluska, Ed   +3 more
core  

Predictive voting model for early diagnosis of diabetes dataset. [PDF]

Front Cardiovasc Med
Al-Bimani T, AlShaqsi J, Alkhawaldeh R, Al Busaidi AS, Tarhini A.   +4 more
europepmc   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Selection of Tree-Based Classifiers with the Bootstrap 632+ Rule

, 1997
This paper introduces a novel model selection procedure for tree-based classifiers. The method is based on the bootstrap 632+ rule recently proposed by Efron and Tibishirani.
Merler, Stefano, Furlanello, Cesare
core  

Multi-Stage Respiratory Sound Analysis: Confidence-Driven Wheeze and Crackle Detection. [PDF]

IEEE Trans Biomed Eng
Kala A, Elhilali M.
europepmc   +1 more source

Spinal Cord Infarction Versus Idiopathic Transverse Myelitis: Clinical, Radiological, and Functional Insights From a Retrospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji, Jianlong Zhang, Yiming Shi, Shiyu Shan, Yang Du, Guangshuo Li, Ying Jin, Yani Zhang, Chuanying Wang, Yijun Lin, Yuhao Guo, Decai Tian, Xingquan Zhao, Tian Song   +13 more
wiley   +1 more source