Results 51 to 60 of about 1,746,473 (345)

Short‐term wind power prediction based on combined long short‐term memory

IET Generation, Transmission & Distribution
Wind power is an exceptionally clean source of energy; its rational utilization can fundamentally alleviate the energy, environment, and development problems, especially under the goals of ‘carbon peak’ and ‘carbon neutrality’. A combined short‐term wind
Yuyang Zhao, Lincong Li, Yingjun Guo, Boming Shi, Hexu Sun   +4 more
doaj   +1 more source

Forecasting Air Quality Indeks Using Long Short Term Memory

Journal of Applied Informatics and Computing
Exercise offers significant physical and mental health benefits. However, undetected air pollution can have a negative impact on individual health, especially lung health when doing physical activity in crowded sports venues.
Irfan Wahyu Ramadhani, Filmada Ocky Saputra, Ricardus Anggi Pramunendar, Galuh Wilujeng Saraswati, Nurul Anisa Sri Winarsih, Muhammad Syaifur Rohman, Danny Oka Ratmana, Guruh Fajar Shidik   +7 more
doaj   +1 more source

Ultra-Short-Term Prediction of Wind Power Based on Error Following Forget Gate-Based Long Short-Term Memory

Energies, 2020
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, Chunping Li, Chunhua Peng, Jiangang Tian   +3 more
doaj   +1 more source

Long short-term memory networks for earthquake detection in Venezuelan regions [PDF]

, 2019
Reliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks to single-station three ...
Alvarado Bermúdez, Leonardo, Cruz de la Cruz, Stalin Leonel, Gutiérrez Escobar, Norma, Llácer Giner, David, Mus León, Sergi, Otero Calviño, Beatriz, Rojas, Otilio, Tous Liesa, Rubén   +7 more
core   +1 more source

Developmental Disorders in Children Recently Diagnosed With Cancer

Pediatric Blood &Cancer, EarlyView.
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, Long Vu, Ritika Miryala, Jeffrey M. Albert, Molly McVoy, Siran M. Koroukian   +5 more
wiley   +1 more source

Short-term plasticity as cause-effect hypothesis testing in distal reward learning [PDF]

, 2014
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

The role of histone modifications in transcription regulation upon DNA damage

FEBS Letters, EarlyView.
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

Function‐driven design of a surrogate interleukin‐2 receptor ligand

FEBS Letters, EarlyView.
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, Zelin Cheng, Teng Li, Fulian Wang, Liangminghui Zhang, Xiuxiu He, Lili Liu, Wei Wang, Aibin Liang, Guang Yang   +9 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

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., Ahalya Arun, Niranjana Sampathila, R. Vinoth   +3 more
doaj   +1 more source