Results 121 to 130 of about 354,413 (309)

Wavelet Neural Network and Long Short-Term Memory Recurrent Neural Network for Rainfall and Runoff Prediction with Satellite-Derived Meteorological Data

, 2020
Yashon O. Ouma
openalex   +1 more source

Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification [PDF]

, 2023
Arash Gharehbaghi, Elaheh Partovi, Ankica Babić   +2 more
openalex   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Research on Phase Correction of Spatial Heterodyne Interferogram Based on Recurrent Neural Network

Atmosphere
The spatial heterodyne spectrometer, used in gas and mineral detection, requires phase error correction for data accuracy. Traditionally, this needs ground-based system calibration. In space, however, environmental changes can alter instrument parameters,
Yongying Gan, Zhen Wang, Tingli Song, Zhi Li, Song Ye, Xinqiang Wang   +5 more
doaj   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan, Yan Jiang, Yuxuan Yong, Tianshuo Zhang, Niannian Zhang, Qianqian Zeng, Xue Gong, Li Meng, Fangfang Bi, Yongmin Liu   +9 more
wiley   +1 more source

Surrogate modeling of vehicle dynamics using Recurrent Neural Networks

, 2020
Kohei Makino, Makoto Miwa, Kohei Shintani, Atsuji Abe, Yutaka Sasaki   +4 more
openalex   +2 more sources

Model Reference Control by Recurrent Neural Network Built with Paraconsistent Neurons for Trajectory Tracking of a Rotary Inverted Pendulum

, 2022
A. de Carvalho, Bruno Augusto Angélico, João F. Justo, Alexandre M. de Oliveira, João Inácio da Silva Filho   +4 more
openalex   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Complexity-calibrated benchmarks for machine learning reveal when prediction algorithms succeed and mislead

Scientific Reports
Recurrent neural networks are used to forecast time series in finance, climate, language, and from many other domains. Reservoir computers are a particularly easily trainable form of recurrent neural network.
Sarah E. Marzen, Paul M. Riechers, James P. Crutchfield   +2 more
doaj   +1 more source