Results 121 to 130 of about 2,392,377 (346)
Convolutional neural networks for atomistic systems
, 2018 We introduce a new method, called CNNAS (convolutional neural networks for atomistic systems), for calculating the total energy of atomic systems which rivals the computational cost of empirical potentials while maintaining the accuracy of \emph{ab ...
Homenick, Christa +4 more
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Arthritis Care &Research, EarlyView.Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie +3 more
wiley +1 more source
Video measurement of linear displacement along an oblique line using the cross-ratio [PDF]
, 2015 The purpose of this study was to rediscover the cross-ratio and assess its effectiveness for measuring linear displacement when the image plane is not parallel to the object plane. In the laboratory a fixed, 4m object length was reconstructed with a mean
Colpus, Mark, Goss-Sampson, Mark
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, 2004 We present new and accurate Near-Infrared J and Ks-band data of the Large Magellanic Cloud cluster Reticulum. Data were collected with SOFI available at NTT and covering an area of approximately (5 x 5) arcmin^2 around the center of the cluster.
Andreuzzi, G. +14 more
core +2 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Current Tracking Adaptive Control of Brushless DC Motors
International Journal of Adaptive Control and Signal Processing, EarlyView.In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García +3 more
wiley +1 more source
AiBi Revista de Investigación, Administración e IngenieríaGround deformation during tunneling projects is one of the complicated concerns that must be constantly monitored to prevent unanticipated damages and human losses.
Shubham Kanojiya, Gopal Krishna Mehta
doaj +1 more source
A Comparison of the Predictive Ability of VAR, ARIMA and Artificial Neural Network (ANN) Models: OPEC’s Oil Demand [PDF]
Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2012 Awareness of the future oil demand is essential for OPEC member countries to determine priorities and policy selection for achieving economic growth and development.
Mostafa Gorgini +2 more
doaj
Energy Exploration & Exploitation, 2018 This study presents a prediction technique for the output current of a photovoltaic grid-connected system by using random forests technique. Experimental data of a photovoltaic grid-connected system are used to train and validate the proposed model ...
Ibrahim A Ibrahim +3 more
doaj +1 more source
HOW ACCURATE ARE THE SWEDISH FORECASTERS ON GDP-GROWTH,CPI- INFLATION AND UNEMPLOYMENT? (1993-2001) [PDF]
This study evaluates the performance of the eight most important Swedish domestic forecasters of real GDP-growth, CPI-inflation and unemployment for the sample period 1993-2001.
Bharat Barot
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