Results 11 to 20 of about 9,232,072 (281)

data reduction

, 2014
Citation: 'data reduction' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.D01521 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
Salvador García, Julián Luengo, Francisco Herrera   +2 more
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Dimensionality reduction with image data [PDF]

, 2004
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We propose a new method based on the projection of the images as matrices after a
Benito Bonito, Mónica, Peña Sánchez de Rivera, Daniel   +1 more
core   +2 more sources

HIPPARCOS Data Reductions [PDF]

Symposium - International Astronomical Union, 1986
The raw data produced by the European Space Agency's astrometry satellite HIPPARCOS – mainly photon counts from the primary detector (IDT) and star mappers – will be analysed in full by two independent reduction consortia, FAST and NDAC. The aim is however to generate, by 1993, a single catalogue of positions, proper motions, and parallaxes for the 105
openaire   +1 more source

FIREBALL: Detector, data acquisition and reduction [PDF]

, 2010
The Faint Intergalactic Redshifted Emission Balloon (FIREBALL) had its first scientific flight in June 2009. The instrument combines microchannel plate detector technology with fiber-fed integral field spectroscopy on an unstable stratospheric balloon ...
Evrard, Jean, Frank, Stephan, Martin, D. Christopher, Matuszewski, Mateusz, Milliard, Bruno, Mirc, Frederi, Rahman, Shahinur, Schiminovich, David, Tuttle, Sarah E., Vibert, Didier   +9 more
core   +3 more sources

Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques

Journal of ICT Research and Applications, 2022
Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate future building ...
Marsa Thoriq Ahmada, Saiful Akbar
doaj   +1 more source

Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets

Frontiers in Artificial Intelligence, 2023
Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical of high energy physics.
Miguel Caçador Peixoto, Nuno Filipe Castro, Nuno Filipe Castro, Miguel Crispim Romão, Miguel Crispim Romão, Maria Gabriela Jordão Oliveira, Inês Ochoa   +6 more
doaj   +1 more source

Reduction of Liquidity Proxies by Using Principal Component Analysis in Tehran Capital Markets [PDF]

Journal of Asset Management and Financing, 2022
The purpose of this study was to investigate the possibility of using principal component analysis method as a tool for data reduction of the proxies of stock liquidity in Tehran Stock Exchange (TSE). First, the initial set of proxies of stock liquidity (
Iraj Asghari, Javad Shekarkhah, Mohammad Marfu, Mohammad Javad Salimi   +3 more
doaj   +1 more source

The ZEPLIN II dark matter detector: data acquisition system and data reduction [PDF]

, 2007
ZEPLIN-II is a two-phase (liquid/gas) xenon dark matter detector searching for WIMP-nucleon interactions. In this paper we describe the data acquisition system used to record the data from ZEPLIN-II and the reduction procedures which parameterise the ...
A. Bewick, A. Lindote, A.S. Murphy, Alner, Alner, Alner, Alner, B. Camanzi, B. Edwards, B. Morgan, C. Bungau, C. Ghag, C. Silva, C. Thorne, Cline, D. Cline, D. Davidge, D. Muna, D. Tovey, Davies, E. Daw, E. Tziaferi, E.V. Korolkova, F. Neves, F.L.H. Wolfs, G.G. Nicklin, G.J. Alner, H. Chagani, H. Wang, H.M. Araújo, I. Liubarsky, J. Dawson, J. Gao, J. Pinto da Cunha, J. Quenby, J. White, J.C. Davies, J.D. Lewin, J.E. McMillan, K. Mavrokoridis, Lewin, M. Joshi, M. Robinson, M.I. Lopes, M.J. Carson, N.J.C. Spooner, N.J.T. Smith, P. Majewski, P.F. Smith, P.K. Lightfoot, R. Lüscher, R.J. Walker, R.M. Preece, S.J.S. Plank, S.M. Paling, T. Durkin, T. Gamble, T. Lawson, T.J. Sumner, V. Chepel, V.A. Kudryavtsev, V.N. Lebedenko, V.N. Solovov, W. Ooi, W.G. Jones   +64 more
core   +5 more sources

Data-Efficient Estimation of Remaining Useful Life for Machinery With a Limited Number of Run-to-Failure Training Sequences

IEEE Access, 2022
Prognostics and Health Monitoring (PHM) of machinery is a research area with great relevance to industrial applications as it can serve as a foundation for safer, more cost-efficient operation and maintenance. The prediction of Remaining Useful Life (RUL)
German Sternharz, Ayman Elhalwagy, Tatiana Kalganova   +2 more
doaj   +1 more source

Assessing sedentary behavior using wearable devices: An overview and future directions

Journal of Physical Fitness and Sports Medicine, 2017
Accurate assessments of sedentary behavior are critically important to monitor the proportion of prolonged sedentary behavior, to investigate causal relationships with health outcomes, and to test the effectiveness of interventions aimed at reducing ...
Hiroyuki Sasai
doaj   +1 more source