Results 271 to 280 of about 8,374,235 (328)
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IEEE Transactions on Communications, 2023
Federated learning is a new artificial intelligence technology with which an edge server can orchestrate with multiple end users to train a global model collaboratively.
Chenyuan Feng +4 more
semanticscholar +1 more source
Federated learning is a new artificial intelligence technology with which an edge server can orchestrate with multiple end users to train a global model collaboratively.
Chenyuan Feng +4 more
semanticscholar +1 more source
Quality Assurance in Education, 2023
Purpose This study aims to investigate the effectiveness of hybrid learning, blended learning and face-to-face learning in remediating misconceptions among primary school teacher education students.
N. Hermita +5 more
semanticscholar +1 more source
Purpose This study aims to investigate the effectiveness of hybrid learning, blended learning and face-to-face learning in remediating misconceptions among primary school teacher education students.
N. Hermita +5 more
semanticscholar +1 more source
Journal of Applied Research in Higher Education, 2023
PurposeThis study aims to explore the impact of hybrid learning on the satisfaction, effectiveness and academic performance of faculty and students in private universities in Kuwait.
Abrar Al-Enzi +3 more
semanticscholar +1 more source
PurposeThis study aims to explore the impact of hybrid learning on the satisfaction, effectiveness and academic performance of faculty and students in private universities in Kuwait.
Abrar Al-Enzi +3 more
semanticscholar +1 more source
Hybrid Learning Algorithm of Radial Basis Function Networks for Reliability Analysis
IEEE Transactions on Reliability, 2021With the wide application of industrial robots in the field of precision machining, reliability analysis of positioning accuracy becomes increasingly important for industrial robots.
Dequan Zhang +4 more
semanticscholar +1 more source
A Multi-Data Driven Hybrid Learning Method for Weekly Photovoltaic Power Scenario Forecast
IEEE Transactions on Sustainable Energy, 2021This paper proposes a multi-data driven hybrid learning method for weekly photovoltaic (PV) power scenario forecast that is coordinately driven by weather forecasts and historical PV power output data.
Hui Li +4 more
semanticscholar +1 more source
International Journal of Information Communication Technologies and Human Development, 2016
Hybrid learning has been utilized as a transitional learning method to make advantage of both face-to-face and online learning platforms. In this article, the authors explored how faculty members perceive using simultaneously multiple platforms in higher education such as face-to-face, online, and hybrid platforms in teaching.
Nahed Abdelrahman, Beverly J. Irby
openaire +1 more source
Hybrid learning has been utilized as a transitional learning method to make advantage of both face-to-face and online learning platforms. In this article, the authors explored how faculty members perceive using simultaneously multiple platforms in higher education such as face-to-face, online, and hybrid platforms in teaching.
Nahed Abdelrahman, Beverly J. Irby
openaire +1 more source
IEEE Transactions on Cybernetics
This article focuses on solving the secure control problem by developing a novel resilient hybrid learning scheme for discrete-time Markov jump cyber-physical systems with malicious attacks.
Hao Shen +4 more
semanticscholar +1 more source
This article focuses on solving the secure control problem by developing a novel resilient hybrid learning scheme for discrete-time Markov jump cyber-physical systems with malicious attacks.
Hao Shen +4 more
semanticscholar +1 more source
Hybrid Learning: A combination of face-to-face and online learning
Journal of Education and Learning ReviewsBackground and Aims: Hybrid learning is important because it combines the flexibility of online education with the personal interaction of in-person classes, meeting a variety of learning needs and schedules.
Busara Niyomves +2 more
semanticscholar +1 more source
Proceedings of the 4th International Workshop on Embedded and Mobile Deep Learning, 2020
Federated and fusion learning methods are state-of-the-art distributed learning approaches which enable model training without collecting private data from users. While federated learning involves lower computation cost as compared to fusion learning, the overall communication cost is higher due to a large number of communication rounds between the ...
Anirudh Kasturi +3 more
openaire +1 more source
Federated and fusion learning methods are state-of-the-art distributed learning approaches which enable model training without collecting private data from users. While federated learning involves lower computation cost as compared to fusion learning, the overall communication cost is higher due to a large number of communication rounds between the ...
Anirudh Kasturi +3 more
openaire +1 more source
2010
A call for the extension of hybrid learning urges that it become not just a quick fix or a boon for the bottom line, but an educational mode that reenvisions quality teaching and learning for the 21st century. Hybrid Learning: The Perils and Promise of Blending Online and Face-to-Face Instruction in Higher Education is an in-depth exploration
openaire +2 more sources
A call for the extension of hybrid learning urges that it become not just a quick fix or a boon for the bottom line, but an educational mode that reenvisions quality teaching and learning for the 21st century. Hybrid Learning: The Perils and Promise of Blending Online and Face-to-Face Instruction in Higher Education is an in-depth exploration
openaire +2 more sources