Results 61 to 70 of about 4,390,707 (282)

Wind speed prediction based on multi-channel long short-term memory convolution neural network

电力工程技术, 2022
A wind speed prediction method based on the combination of multi-channel long short-term memory network and convolution neural network is proposed to improve the prediction performance of wind speed.
XIU Chunbo, SU Huan, SU Xuemiao
doaj   +1 more source

Convolution Operators on Holomorphic Dirichlet Series

Tokyo Journal of Mathematics, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Re‐Purposing Sapropterin (Kuvan) for ACTA2‐Related Multisystemic Smooth Muscle Dysfunction Syndrome: A Translational Mechanistic and First‐In‐Human Therapeutic Report

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem, Noa Bielopolski, Vijai Krishnan, Shane Wald‐Altman, Shelly I Shrian, Omer Bar‐Yosef, Livia Kapusta, Claire Shamber, Patricia L. Musolino, Miguel Weil   +9 more
wiley   +1 more source

Highway Traffic Flow Forecasting with Multidimensional Signal Feature Decomposition and Patch Time Series Convolutional Neural Network

Applied Sciences
Accurate prediction of traffic flow is the key to highways control. However, traditional time series forecasting methods cannot meet the accuracy requirements of long-term forecasting.
Meng Yang, Shuyuan Zhang, Zhanzhong Wang, Tingting Li   +3 more
doaj   +1 more source

A convolution structure for Laguerre series

Indagationes Mathematicae (Proceedings), 1982
AbstractWatson's product formula for Laguerre polynomials has been used by McCully [12] and Askey [1] to define a convolution structure. In comparison with the Jacobi expansion, the results in the Laguerre case are less satisfactory since the Laguerre translation operator is not positive. Nevertheless, other choices of the underlying spaces may lead to
Görlich, E., Markett, C.
openaire   +2 more sources

Shifted convolution L-series values for elliptic curves [PDF]

Archiv der Mathematik, 2018
Journal ...
Ali, Asra, Mani, Nitya
openaire   +4 more sources

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay, Merve Alaylioglu, Erdi Sahin, Sanem Sultan Yoruk Oner, Gulce Iskan, Gulce Cosku Yilmaz Cakan, Gozde Kizilates‐Evin, Emre Hari, Elif Kurt, Erdinc Dursun, Basar Bilgic, Hasmet Hanagasi, Hakan Gurvit, Tamer Demiralp, Duygu Gezen‐Ak, Bedia Samanci   +15 more
wiley   +1 more source

A Class of Power Series q-Distributions

Mathematics
A class of power series q-distributions, generated by considering a q-Taylor expansion of a parametric function into powers of the parameter, is discussed. Its q-factorial moments are obtained in terms of q-derivatives of its series (parametric) function.
Charalambos A. Charalambides
doaj   +1 more source

Shifted convolution of cusp-forms with $$\theta $$ θ -series [PDF]

The Ramanujan Journal, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lü, Guangshi, Wu, Jie, Zhai, Wenguang
openaire   +2 more sources