Results 31 to 40 of about 75,250 (263)

Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management [PDF]

open access: yesPeerJ Computer Science, 2023
Background The advancement of biomedical research generates myriad healthcare-relevant data, including medical records and medical device maintenance information. The COVID-19 pandemic significantly affects the global mortality rate, creating an enormous
Noorul Husna Abd Rahman   +5 more
doaj   +2 more sources

Standards for smart education – towards a development framework

open access: yesSmart Learning Environments, 2018
Smart learning environments (SLEs) utilize a range of digital technologies in supporting learning, education and training; they also provide a prominent signpost for how future learning environments might be shaped.
Tore Hoel, Jon Mason
doaj   +1 more source

Predictive Model for Smart Agriculture Using Machine Learning

open access: yesJournal of Mountain Research, 2023
Agriculture holds a significant position in India's economic and employment landscape. A common challenge faced by Indian farmers is the lack of adherence to appropriate crop selection based on soil requirements, resulting in the cultivation of crops without a well-structured Crop Recommendation System.
Ravisha Ravisha, Neelam Sinha
openaire   +1 more source

Elementary teachers’ beliefs and perspectives related to smart learning in South Korea

open access: yesSmart Learning Environments, 2019
This study focused on elementary teachers’ perceptions of smart learning issues to suggest a better future teachers’ training program to support student’s smart learning in classrooms. Rapidly developing technology changes every aspect of our life.
Cheyeon Ha, Soo-Young Lee
doaj   +1 more source

Smart Technological Learning Conceptual model

open access: yesInternational Journal of Engineering & Technology, 2018
Lifelong learning in one of most important aspects of nowdays educational system, which is understood as continuation of the previously acquired education and the enrichment of the professional skills according to the demands of the vocation in question.
openaire   +2 more sources

An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19

open access: yesSmart Learning Environments, 2021
The social distancing due to the Covid-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation.
Sayed Kifayat Shah   +3 more
doaj   +1 more source

Developing an Integrative SMART Learning Model to Support Holistic Development in Early Childhood Education

open access: yesTa'dib
Learning practices in early childhood education have not yet optimally integrated science, mathematics, art, religious values, and technology into a unified instructional model.
Nita Priyanti   +4 more
doaj   +1 more source

Conceptual Knowledge Representation: a semantic model for Smart Learning Environments in an IoT-enabled Smart Campus

open access: yesJe-LKS: Journal of E-Learning and Knowledge Society
Smart learning environments (SLE) have been greatly enhanced lately by the adoption of cutting-edge technologies such as Internet-of-Things (IoT), Artificial Intelligence, Augmented Reality, Cloud Computing and Learning Analytics among others.
Soulakshmee Nagowah   +2 more
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

open access: yesFEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

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