Results 11 to 20 of about 1,962,283 (336)

Advantages and Challenges of Information Fusion Technique for Big Data Analysis: Proposed Framework

Journal of Biostatistics and Epidemiology, 2021
Introduction: Recently, with the surge in the availability of relevant data in various industries, the use of Information Fusion technique for data analysis is increasing.
Elham Nazari, Rizwana Biviji, Amir Hossein Farzin, Parnian Asgari, Hamed Tabesh   +4 more
doaj   +1 more source

Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]

, 2015
The recent proliferation of engineered surfaces, including freeform and structured surfaces, is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms of spatial ...
Ai C, Barker R M, Boudjemaa R, De Boor C, D𝚤ez D C, Fabio R, GmbH W, Golub G H, Hansen C D, Hao C, Hemsley R, Inhull, ISO 25178-6, ISO 25178-604, ISO/DIS 25178-606, JDL, Jiang X, Kjer H M, Leica Microsystems, Low K-L, Mathworks, Raid I, Ramasamy S K, Rasmussen C E, Rasmussen C E, Schabenberger O, Schmit J, Seeger S, Shekhar S, Strutz T, Sun W, Wang J, Weisstein E W, Yamany S M, Yan-Mei C   +34 more
core   +1 more source

Common and Distinct Components in Data Fusion [PDF]

, 2016
In many areas of science multiple sets of data are collected pertaining to the same system. Examples are food products which are characterized by different sets of variables, bio-processes which are on-line sampled with different instruments, or ...
Acar, Acar, Alter, Bevilacqua, Bookstein, Bro, Bro, Bylesjo, Consonni, Correa, Dahl, De Moor, De Moor, de Noord, Golub, Hanafi, Hotelling, Jansen, Kettenring, Kirwan, Lahat, Lips, Lock, Lofstedt, Lofstedt, Lynch, Mage, Mattarucchi, Naes, Pages, Paige, Peres-Neto, Petrakis, Ponnapalli, Ray, Schonemann, Schott, Schouteden, Shan, Sidiropoulos, Smilde, Smilde, Smilde, Srivastava, Szymanski, Tao, Tauler, Tenenhaus, Ten Berge, Tibshirani, Timmerman, Timmerman, Tomassini, Trygg, Trygg, Van de Geer, Van den Berg, Van den Berg, van der Burg, Van der Kloet, Van Deun, Van Deun, Van Deun, Van Loan, Van Mechelen, Westerhuis, Wilderjans, Yanai   +67 more
core   +7 more sources

Efficient estimation under data fusion

Biometrika, 2023
Summary We aim to make inferences about a smooth, finite-dimensional parameter by fusing together data from multiple sources. Previous works have studied the estimation of a variety of parameters in similar data fusion settings, including estimation of the average treatment effect and average reward under a policy, with the majority of ...
Li, Sijia, Luedtke, Alex
openaire   +3 more sources

A new pattern to quantitatively evaluate the value of ecosystem services in the large-scale open-pit coal mining area

Frontiers in Ecology and Evolution, 2023
IntroductionOpen-pit coal mining could disrupt the ecosystem and lead to the loss of service values for the ecosystem through direct occupation or indirect impacts on adjacent ecosystems.MethodsIn this research, we combined a new accounting system, gross
Jieqing Shi, Dengao Li, Dengao Li, Dengao Li, Chaoyong Shen, Jing Yang, Fanming Wu   +6 more
doaj   +1 more source

Fusion versus Breakup: Observation of Large Fusion Suppression for ^9Be + ^{208}Pb [PDF]

, 1999
Complete fusion excitation functions for $^{9}$Be + $^{208}$Pb have been measured to high precision at near barrier energies. The experimental fusion barrier distribution extracted from these data allows reliable prediction of the expected complete ...
A. C. Berriman, A. M. Stefanini, A. Mukerjee, A. Szanto de Toledo, A. Yoshida, C. H. Dasso, C. H. Dasso, C. H. Dasso, C. R. Morton, C. R. Morton, C. Signorini, C. Signorini, D. J. Hinde, G. D. Dracoulis, J. D. Bierman, J. O. Newton, J. P. Glickman, J. R. Leigh, J. S. Eck, J. Takahashi, J. X. Wei, K. Hagino, K. Hagino, M. Beckerman, M. Dasgupta, M. Dasgupta, M. J. Martin,, M. S. Hussein, M. S. Hussein, M. S. Hussein, Minfang Yeh, N. Carlin, N. Rowley, N. Takigawa, N. Takigawa, P. G. Hansen, P. R. S. Gomes, R. Bass, R. D. Butt, R. M. Anjos, V. Fekou-Youimbi   +40 more
core   +4 more sources

Method on Multi-granularity Data Provenance for Data Fusion [PDF]

Jisuanji kexue, 2022
As the amount of data increases,correlates and crosses between data,the value of data needs to be maximized through data fusion.However,due to the complexity of the data fusion process,to clearly explain the data fusion process,it is necessary to ...
YANG Fei-fei, SHEN Si-yu, SHEN De-rong, NIE Tie-zheng, KOU Yue
doaj   +1 more source

Data Structure Fusion

, 2010
We consider the problem of specifying data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are specified using relational algebra and functional dependencies; a novel fuse operation on relational indexes specifies where the underlying physical data structure
Hawkins, Peter, Aiken, Alex, Fisher, Kathleen, Rinard, Martin C., Sagiv, Mooly   +4 more
openaire   +2 more sources

Recreating Lunar Environments by Fusion of Multimodal Data Using Machine Learning Models

Engineering Proceedings, 2022
The latest satellite infrastructure for data processing, transmission and reception can certainly be improved by upgrading tools used to deal with very large amounts of data from every different sensor incorporated within the space missions.
Ana C. Castillo, Jesus A. Marroquin-Escobedo, Santiago Gonzalez-Irigoyen, Marlene Martinez-Santoyo, Rafaela Villalpando-Hernandez, Cesar Vargas-Rosales   +5 more
doaj   +1 more source

Potential inversion with subbarrier fusion data revisited [PDF]

, 2007
We invert experimental data for heavy-ion fusion reactions at energies well below the Coulomb barrier in order to directly determine the internucleus potential between the colliding nuclei.
K. Hagino, K. Hagino, M. Dasgupta, R. A. Broglia, Y. Watanabe   +4 more
core   +3 more sources