Results 21 to 30 of about 86,171 (215)
Review on Interpretable Machine Learning in Smart Grid
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
Standards for smart education – towards a development framework
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
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
Elementary teachers’ beliefs and perspectives related to smart learning in South Korea
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
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
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
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
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou +4 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Cell surface CD11c as a neutrophil aging marker molecule
Cell surface CD11chi neutrophils were more aged and had better phagocytic function than CD11c−/lo neutrophils. Transcriptomic analysis of CD11chi neutrophils and CD11c−/lo neutrophils in pediatric population showed that the most difference was seen in infants.
Sophia Koutsogiannaki +5 more
wiley +1 more source

