Results 31 to 40 of about 819,240 (284)
Review on Interpretable Machine Learning in Smart Grid
Energies, 2022 In recent years, machine learning, especially deep learning, has developed rapidly and has shown remarkable performance in many tasks of the smart grid field.
Chongchong Xu +4 more
doaj +1 more source
Machine Learning Methods for Attack Detection in the Smart Grid [PDF]
, 2015 Attack detection problems in the smart grid are posed as statistical learning problems for different attack scenarios in which the measurements are observed in batch or online settings.
Esnaola, Inaki +4 more
core +2 more sources
Frontiers in Psychology, 2022 The rapid improvement of technologies such as artificial intelligence in recent years has resulted in the development of smart technologies (ST) that can influence learning performance in different fields.
Fei Jiang +5 more
doaj +1 more source
Development of Smart Content Model-based Augmented Reality to Support Smart Learning [PDF]
Journal of Science Learning, 2019 Augmented Reality (AR) is an optical technology that combines virtual objects or worlds into real worlds like in real time and increases user perceptions and interactions with the real world. Information conveyed by virtual objects helps users carry out activities (tasks) in the real world.
Fatimah, Siti +3 more
openaire +2 more sources
The Journal of Engineering, 2023 This article proposes a deep learning (DL) model made of Long Short Term Memory (LSTM) and Adaptive Neuro Fuzzy Inference System (ANFIS) to detect fault in smart distribution grid assisted by communication systems using smart meter data.
Camille Franklin Mbey +3 more
doaj +1 more source
Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management [PDF]
PeerJ 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
Elementary teachers’ beliefs and perspectives related to smart learning in South Korea
Smart 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
Predictive Model for Smart Agriculture Using Machine Learning
Journal 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
SMART: Unique splitting-while-merging framework for gene clustering [PDF]
, 2014 Copyright @ 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are ...
A Thalamuthu +36 more
core +3 more sources
Standards for smart education – towards a development framework
Smart 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