Results 41 to 50 of about 1,742,315 (338)
To improve the accuracy of ultra-short-term wind power prediction, this paper proposed a model using modified long short-term memory (LSTM) to predict ultra-short-term wind power.
Pei Zhang +3 more
doaj +1 more source
Short-term plasticity as cause-effect hypothesis testing in distal reward learning [PDF]
Asynchrony, overlaps and delays in sensory-motor signals introduce ambiguity as to which stimuli, actions, and rewards are causally related. Only the repetition of reward episodes helps distinguish true cause-effect relationships from coincidental ...
Soltoggio, Andrea
core +2 more sources
Developmental Disorders in Children Recently Diagnosed With Cancer
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag +5 more
wiley +1 more source
The role of histone modifications in transcription regulation upon DNA damage
This review discusses the critical role of histone modifications in regulating gene expression during the DNA damage response (DDR). By modulating chromatin structure and recruiting repair factors, these post‐translational modifications fine‐tune transcriptional programmes to maintain genomic stability.
Angelina Job Kolady, Siyao Wang
wiley +1 more source
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Manning, Christopher D. +2 more
core +1 more source
Function‐driven design of a surrogate interleukin‐2 receptor ligand
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang +9 more
wiley +1 more source
Vietnamese Text Classification Algorithm using Long Short Term Memory and Word2Vec
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
Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals
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
Video Summarization with Long Short-Term Memory [PDF]
We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem on sequential data, our main idea is to use Long Short-Term Memory (LSTM), a special type of recurrent neural networks to model the variable-range dependencies entailed in ...
Zhang, Ke +3 more
openaire +2 more sources
Effects of short-term memory contents on short-and long-term memory searches [PDF]
The Ss memorized a long-term set (LT set) of 20 words before participating in a recognition memory test. On each trial Ss were given a new short-term set (ST set) of from one to four words or one to four digits. The Ss gave a positive response to a test item that was a member of either the ST or the LT set and gave a negative response to a test item ...
Mohs, Richard C. +2 more
openaire +3 more sources

