Results 11 to 20 of about 17,724 (252)

GRU-based multi-scenario gait authentication for smartphones

open access: yes网络与信息安全学报, 2022
At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user ...
Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI
doaj   +1 more source

Musculoskeletal Biomechanics

open access: yesMedEdPORTAL, 2015
This is a lecture/large-group session with a breakout small-group case discussion. This session was created as an introduction to the biomechanics of the human musculoskeletal system for first-year medical students.
Brett Szymik, Jennifer Stowe
doaj   +1 more source

Grus grus

open access: yes, 2020
Published as part of Demográfico, Ministerio Para La Transición Ecológica Y El Reto, 2020, III. OTRAS DISPOSICIONES, pp.
openaire   +3 more sources

Diseño de una herramienta para la detección de fallos en sistemas multirrotores

open access: yesTecnología en Marcha, 2021
Los vehículos no tripulados (UAV) con multirrotores, cuentan con un sistema de control que se enfoca principalmente en buscar la estabilidad del vehículo durante el vuelo, sin embargo, no le permite detectar o prever cuando se presenta un fallo, y muchas
Dilan Andrey Loría-Quesada
doaj   +1 more source

Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021
Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti   +4 more
doaj   +1 more source

Simple But Effective GRU Variants

open access: yes2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021
Recurrent Neural Network (RNN) is a widely used deep learning architecture applied to sequence learning problems. However, it is recognized that RNNs suffer from exploding and vanishing gradient problems that prohibit the early layers of the network from learning the gradient information.
Gülsüm Yigit, Mehmet Fatih Amasyali
openaire   +3 more sources

Aberrant DNA Methylation Important Factor in Intervertebral Disc Pathophysiology

open access: yesGlobal Spine Journal, 2016
Introduction Intervertebral disc (IVD) degeneration is one of the most important aging health problems and a leading cause of disability. However, little is known about pathophysiology of this condition.
Norman Chutkan, Sadanand Fulzele
doaj   +1 more source

KRİPTO PARA FİYATLARININ LSTM VE GRU MODELLERİ İLE TAHMİNİ

open access: yesMehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2023
Yakın geçmişte hayatımıza giren ve kısa zamanda finansal piyasalarda kendisine yer bulan kripto paralar, hem bir değişim aracı hem de bir yatırım aracı olarak kullanılmaktadır.
Meltem Karaatlı, Esranur Demirci
doaj   +1 more source

Breast Cancer Prediction Using Stacked GRU-LSTM-BRNN

open access: yesApplied Computer Systems, 2020
Breast Cancer diagnosis is one of the most studied problems in the medical domain. Cancer diagnosis has been studied extensively, which instantiates the need for early prediction of cancer disease.
Dutta Shawni   +3 more
doaj   +1 more source

A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network

open access: yesConnection Science, 2022
Anomaly detection is a critical technique that ensures the reliability of WSNs. However, most existing anomaly detection methods only consider the case of single modal data flow anomaly detection for each node or multiple modal time series data flow ...
Qinghao Zhang, Miao Ye, Xiaofang Deng
doaj   +1 more source

Home - About - Disclaimer - Privacy