Results 111 to 120 of about 8,374,235 (328)
Using Hybrid Effectively in Christian Higher Education
, 2007 Hybrid is just one of a number of terms used for the convergence of face-to-face and online learning, At the University of Central Florida (UCF) they are called mixed mode courses, In the corporate world the most common language used for hybrid is ...
Brunner, Daniel L.
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Learning in the e-environment: new media and learning for the future
Libellarium: Journal for the Research of Writing, Books, and Cultural Heritage Institutions, 2015 We live in times of rapid change in all areas of science, technology, communication and social life. Every day we are asked to what extent school prepares us for these changes and for life in a new, multimedia environment.
Milan Matijević
doaj +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Reactive Planar Manipulation with Convex Hybrid MPC
, 2018 This paper presents a reactive controller for planar manipulation tasks that leverages machine learning to achieve real-time performance. The approach is based on a Model Predictive Control (MPC) formulation, where the goal is to find an optimal sequence
Grau, Eudald Romo +2 more
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Blended Learning and Hybrid Learning
Journal of International Multidisciplinary ResearchSeiring perkembangan teknologi informasi dan komunikasi, dunia pendidikan mengalami perkembangan dengan pesat. Sistem pembelajaran konvensional mulai dikombinasikan bahkan dialihkan dengan sistem pembelajaran berbasis digital atau online learning.
Nurul Indah Wahyu Ningsih, Fitri Yuliana
openaire +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Explanation-based learning for diagnosis [PDF]
, 1992 Diagnostic expert systems constructed using traditional knowledge-engineering techniques identify malfunctioning components using rules that associate symptoms with diagnoses. Model-based diagnosis (MBD) systems use models of devices to find faults given
Fattah, Yousri El, O'Rorke, Paul
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InformationIn the ever-expanding online fashion market, businesses in the clothing sales sector are presented with substantial growth opportunities. To utilize this potential, it is crucial to implement effective methods for accurately identifying clothing items ...
Waseem Abbas +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
Hybrid iterative learning control of a flexible manipulator [PDF]
, 2004 This paper presents an investigation into the development of a hybrid control scheme with iterative learning for input tracking and end-point vibration suppression of a flexible manipulator system.
Mailah, M +3 more
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