Results 101 to 110 of about 398,042 (310)

Learning transfer through industrial simulator training: Petroleum industry case

Cogent Education, 2018
Efficient teamwork skills, high level of complex process knowledge and a vast set of operational abilities are essential for safe and economical operation in process industries. During the past decade, human factors have emerged as a strong research area
Tiina M. Komulainen, A. Ronny Sannerud
doaj   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Transfer Learning and Applications [PDF]

, 2012
In machine learning and data mining, we often encounter situations where we have an insufficient amount of high-quality data in a target domain, but we may have plenty of auxiliary data in related domains. Transfer learning aims to exploit these additional data to improve the learning performance in the target domain.
openaire   +1 more source

Gated Transfer Network for Transfer Learning [PDF]

, 2019
Deep neural networks have led to a series of breakthroughs in computer vision given sufficient annotated training datasets. For novel tasks with limited labeled data, the prevalent approach is to transfer the knowledge learned in the pre-trained models to the new tasks by fine-tuning. Classic model fine-tuning utilizes the fact that well trained neural
Yi Zhu 0001, Jia Xue, Shawn D. Newsam
openaire   +2 more sources

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

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

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data.
Latyr Fall, Cheikh, Côté-Allard, Ulysse, Glette, Kyrre, Drouin, Alexandre, Fall, Cheikh Latyr, Campeau-Lecours, Alexandre, Gosselin, Benoit, Laviolette, Francois, Côté Allard, Ulysse, Gosselin, Clément   +9 more
core   +1 more source

Theory in Practice instead of Theory versus Practice – Curricular design for Task-based Learning within a competency oriented Curriculum

GMS Zeitschrift für Medizinische Ausbildung, 2015
Objective: Already during their studies, medical students should intensively train their clinical thinking and practice skills, enhancing their clinical expertise in theoretical and practical terms.Methods: Based on the findings of educational research ...
Rotthoff, Thomas, Schneider, Matthias, Ritz-Timme, Stefanie, Windolf, Joachim   +3 more
doaj   +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

Materials Representation and Transfer Learning for Multi-Property Prediction

, 2021
The adoption of machine learning in materials science has rapidly transformed materials property prediction. Hurdles limiting full capitalization of recent advancements in machine learning include the limited development of methods to learn the ...
Carla P., Gomes, Shufeng, Kong, John, Gregoire, Dan, Guevarra   +3 more
core   +1 more source