Results 101 to 110 of about 2,445,824 (337)

Learning text representation using recurrent convolutional neural network with highway layers [PDF]

, 2016
Recently, the rapid development of word embedding and neural networks has brought new inspiration to various NLP and IR tasks. In this paper, we describe a staged hybrid model combining Recurrent Convolutional Neural Networks (RCNN) with highway layers ...
Luo, Rui, Wang, Jun, Wen, Ying, Zhang, Weinan   +3 more
core   +1 more source

A PANoptosis‐Based Signature for Survival and Immune Predication in Glioblastoma Multiforme

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective PANoptosis is a concept of total cell death characterized by pyroptosis, apoptosis, and necroptosis. We aimed to explore the clinical significance of PANoptosis‐related genes (PARGs) in glioblastoma multiforme (GBM). Methods Expression profiles of GBM were downloaded from the XENA database as a training dataset to construct a ...
Jun Yang, Da Lin, Dongyuan Liu, Dongxu Zhang, Hao Wang   +4 more
wiley   +1 more source

Subrecursive neural networks

Neural Networks, 2019
It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using the Heaviside activation function (with Boolean outputs 0 or 1) are equivalent to finite automata (level 3 in the Chomsky hierarchy), while analog-state NNs with rational weights, employing the saturated-linear function (with real-number outputs in the ...
openaire   +4 more sources

Nuclei‐Specific Amygdala Enlargement Is Linked to Psychiatric Comorbidities in Drug‐Resistant Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder.
Hélène Mourre, Julia Makhalova, Lisa Soncin, Elodie Garnier, Hugo Dary, Arnaud Le Troter, Roy A. M. Haast, Benoit Testud, Marie Arthuis, Samuel Medina Villalon, Stanislas Lagarde, Francesca Pizzo, Christian Bénar, Jean‐Philippe Ranjeva, Maxime Guye, Fabrice Bartolomei   +15 more
wiley   +1 more source

Patient Selection in Deep Brain Stimulation: A Role for Transcranial Direct Current Stimulation to Enhance the Levodopa Challenge?

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Dopaminergic medication and deep brain stimulation (DBS) improve motor symptoms in Parkinson's disease (PD), but levodopa response alone may not predict DBS outcomes. We retrospectively analyzed 19 PD patients undergoing levodopa challenges with and without prior transcranial direct current stimulation targeting a defined PD response network ...
Lukas L. Goede, Patricia Zvarova, Bahne H. Bahners, Andreas Horn   +3 more
wiley   +1 more source

In-network Neural Networks

, 2018
We present N2Net, a system that implements binary neural networks using commodity switching chips deployed in network switches and routers. Our system shows that these devices can run simple neural network models, whose input is encoded in the network packets' header, at packet processing speeds (billions of packets per second).
Siracusano, Giuseppe, Bifulco, Roberto
openaire   +2 more sources

Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Approximately half of patients with hereditary myopathies remain without a definitive genetic diagnosis after DNA next‐generation sequencing (NGS). Here, we implemented transcriptome analysis of muscle biopsies as a complementary diagnostic tool for patients with muscle disease but no definitive genetic diagnosis after exome ...
Alba Segarra‐Casas, Cristina Domínguez‐González, Daniel Natera‐de Benito, Solange Kapetanovic, Aurelio Hernández‐Laín, Berta Estévez‐Arias, Laura Llansó, Carlos Ortez, Cristina Jou, Itxaso Martí‐Carrera, Arístides López‐Márquez, Maria José Rodríguez, Laura González‐Mera, Velina Nedkova, Roberto Fernández‐Torrón, Benjamín Rodríguez‐Santiago, Cecília Jimenez‐Mallebrera, Raul Juntas‐Morales, Adolfo López‐de Munain, Jordi Surrallés, Andrés Nascimento, Eduard Gallardo, Montse Olivé, Pia Gallano, Lidia González‐Quereda   +24 more
wiley   +1 more source

An Improved Recurrent Neural Network for Industrial IoT Botnet Attack Detection

Журнал інженерних наук
This research aims to improve the Industrial Internet of Things (IIoT) security, which fosters technological confidence and promotes expansion. The IIoT is mainly used in manufacturing, oil, and gas to avoid botnet attacks.
G. Suneetha, D.H. Priya
doaj   +1 more source

Analysis of the Neural Network Regulating the Cardio-Renal System in the Central Nervous System ofHelix pomatiaL. [PDF]

, 1979
Katalin S.-Rózsa
openalex   +1 more source

Pathway Analyses of Inherited Neuropathies Identify Putative Common Mechanisms of Axon Degeneration

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Inherited neuropathies (IN) are associated with over 100 different genetic mutations presenting with a variety of phenotypes. This complexity suggests multiple pathways may converge onto a limited number of downstream pathways to effect axonal injury.
Christopher R. Cashman, Craig Blackstone, Reza Sadjadi   +2 more
wiley   +1 more source