Results 61 to 70 of about 1,765,598 (347)
Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals
Computers, 2022 Humans can portray different expressions contrary to their emotional state of mind. Therefore, it is difficult to judge humans’ real emotional state simply by judging their physical appearance.
Shashi Kumar G. S. +3 more
doaj +1 more source
Long Short-Term Memory with Dynamic Skip Connections
, 2018 In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies.
Gong, Jingjing +6 more
core +1 more source
Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
Molecular Oncology, EarlyView.IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis +3 more
wiley +1 more source
Vietnamese Text Classification Algorithm using Long Short Term Memory and Word2Vec
Информатика и автоматизация, 2020 In the context of the ongoing forth industrial revolution and fast computer science development the amount of textual information becomes huge. So, prior to applying the seemingly appropriate methodologies and techniques to the above data processing ...
Huu Nguyen Phat, Nguyen Thi Minh Anh
doaj +1 more source
Compositional Distributional Semantics with Long Short Term Memory [PDF]
, 2015 We are proposing an extension of the recursive neural network that makes use of a variant of the long short-term memory architecture. The extension allows information low in parse trees to be stored in a memory register (the `memory cell') and used much ...
Le, Phong, Zuidema, Willem
core +2 more sources
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
FEBS Open Bio, EarlyView.Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
IET Renewable Power GenerationWith the increasing penetration of grid‐scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization ...
Mehmet Balci +3 more
doaj +1 more source
Gold Prices Prediction using Univariate Long Short Term Memory Method
JITeCS (Journal of Information Technology and Computer Science)Gold is one of the precious metals that serves various purposes beyond being a jewelry material. When it comes to gold, it is often associated with the economy.
Gustian Aditama +2 more
doaj +1 more source
Frontiers in Human Neuroscience, 2015 Performance on working memory (WM) tasks may partially be supported by long-term memory (LTM) processing. Hence, brain activation recently being implicated in WM may actually have been driven by (incidental) LTM formation. We examined which brain regions
Heiko eBergmann +6 more
doaj +1 more source
Software Effort Estimation Using Multilayer Perceptron and Long Short Term Memory [PDF]
Informatică economică, 2019 Software effort estimation is a hot topic for study in the last decades. The biggest challenge for project managers is to meet their goals within the given time limit.
Eduard-Florin PREDESCU +2 more
doaj +1 more source