Results 21 to 30 of about 1,053,522 (150)
Multivariate Chemical Image Fusion of Vibrational Spectroscopic Imaging Modalities
Molecules, 2016 Chemical image fusion refers to the combination of chemical images from different modalities for improved characterisation of a sample. Challenges associated with existing approaches include: difficulties with imaging the same sample area or having ...
Aoife A. Gowen, Ronan M. Dorrepaal
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Water Science and Technology, 2021 This study was performed to evaluate the spatial and temporal distribution of major ions in water samples of a newly designated Ramsar site, namely Kabar Tal (KT) wetland of Bihar. Samples were collected during summer, monsoon, and winter seasons.
Deepak Gupta +3 more
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Multitemporal Chlorophyll Mapping in Pome Fruit Orchards from Remotely Piloted Aircraft Systems
Remote Sensing, 2019 Early and precise spatio-temporal monitoring of tree vitality is key for steering management decisions in pome fruit orchards. Spaceborne remote sensing instruments face a tradeoff between spatial and spectral resolution, while manned aircraft sensor ...
Yasmin Vanbrabant +5 more
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IEEE Transactions on Information Theory, 2023 In this paper, we introduce multivariate Goppa codes, which contain as a special case the well-known, classical Goppa codes. We provide a parity check matrix for a multivariate Goppa code in terms of a tensor product of generalized Reed-Solomon codes. We prove that multivariate Goppa codes are subfield subcodes of augmented Cartesian codes.
Hiram H. López, Gretchen L. Matthews
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Towards open sharing of task-based fMRI data: The OpenfMRI project
Frontiers in Neuroinformatics, 2013 The large-scale sharing of task-based functional neuroimaging data has the potential to allow novel insights into the organization of mental function in the brain, but the field of neuroimaging has lagged behind other areas of bioscience in the ...
Russell A Poldrack +8 more
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STATISTICAL ANALYSIS OF THE PARAMETERS FOR TEXTILE MATERIALS USED FOR SENSORS [PDF]
Annals of the University of Oradea: Fascicle of Textiles, Leatherwork, 2023 This paper presents aspects regarding the analysis of the independent parameters of the surface electrical resistance for a series of textile samples made by successive knife coating procedures with conductive paste-based metal microparticles ...
AILENI Raluca Maria +2 more
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Frontiers in Human Neuroscience, 2018 Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques on resting-state fMRI (rs-fMRI) time courses emerged from this topic.
Markus Goldhacker +6 more
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Predicting Saudi Stock Market Index by Using Multivariate Time Series Based on Deep Learning
Applied Sciences, 2023 Time-series (TS) predictions use historical data to forecast future values. Various industries, including stock market trading, power load forecasting, medical monitoring, and intrusion detection, frequently rely on this method.
Mutasem Jarrah, Morched Derbali
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On Multivariate Interpolation [PDF]
Studies in Applied Mathematics, 2005 A new approach to interpolation theory for functions of several variables is proposed. We develop a multivariate divided difference calculus based on the theory of noncommutative quasi‐determinants. In addition, intriguing explicit formulae that connect the classical finite difference interpolation coefficients for univariate curves with multivariate ...
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Scientia Marina, 2011 The classification and identification of all the Spanish fishing activity targeting deep-sea species was conducted using a non-hierarchical classification technique designed for large matrices (CLARA).
Antonio Punzón +5 more
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