Results 81 to 90 of about 328,761 (312)

On-Line Modelling And Forecasting Of Carbon Monoxide Concentrations Using Hybird Multilayered Perceptron Network. [PDF]

open access: yes, 2005
This paper discusses on-line modelling and forecasting of carbon monoxide (CO) concentrations using Hybrid Multilayered Perceptron (HMLP) Network.
Mashor, M.Y.   +3 more
core  

Hybrid Models for Automatic Speech Recognition: a Comparison of Classical ANN and Kernel Based Methods [PDF]

open access: yes, 2007
Support Vector Machines (SVMs) are state-of-the-art methods for machine learning but share with more classical Artificial Neural Networks (ANNs) the difficulty of their application to input patterns of non-fixed dimension.
Peláez-Moreno, Carmen   +5 more
core   +1 more source

Application of SDR base station in network upgrade

open access: yesDianxin kexue, 2016
Based on the unique technical characteristics and existing equipment ability of the SDR base station,and the main problems in deploying SDR base station,faced with the network developing environment and operating conditions for operators,the main ...
Erchao HE, Pengjin GENG, Huili ZHANG
doaj  

A Hybrid Network Model for Tibetan Question Answering

open access: yesIEEE Access, 2019
Currently, research on question answering (QA) with deep learning methods is a hotspot in natural language processing. In addition, most of the research mainly focused on English or Chinese since there are large-scale open corpora, such as WikiQA or ...
Yuan Sun, Tianci Xia
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

A novel social network hybrid recommender system based on hypergraph topologic structure

open access: yes, 2017
With the advent and popularity of social network, more and more people like to share their experience in social network. However, network information is growing exponentially which leads to information overload.
Ding, Xintao   +9 more
core   +1 more source

Hybrid testbed for network scenarios [PDF]

open access: yesProceedings of the 3rd International ICST Conference on Simulation Tools and Techniques, 2010
In this paper we explain the deployment of a testbed that emulates a network by means of virtualization, allowing us to implement a set of virtual nodes in one physical machine or a small LAN. Nodes participating in the communication are virtual machines adequately connected. The system is a hybrid testbed, as it includes simulation and emulation.
José Ma Saldaña   +4 more
openaire   +1 more source

Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus   +2 more
wiley   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

An improved hybrid of nonlinear autoregressive with exogenous input and autoregressive moving average for long-term machine state forecasting based on vibration signal

open access: yes, 2010
This paper presents an improvement of hybrid of nonlinear autoregressive with exogenous input (NARX) and autoregressive moving average (ARMA) for long-term machine state forecasting based on vibration data.
Yang, Bo-Suk   +2 more
core   +1 more source

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