Results 31 to 40 of about 26,988,257 (328)

Network traffic classification for data fusion: A survey

Information Fusion, 2021
Traffic classification groups similar or related traffic data, which is one main stream technique of data fusion in the field of network management and security. With the rapid growth of network users and the emergence of new networking services, network
Jingjing Zhao, Xuyang Jing, Zheng Yan, W. Pedrycz   +3 more
semanticscholar   +1 more source

Structure-revealing data fusion [PDF]

BMC Bioinformatics, 2014
Analysis of data from multiple sources has the potential to enhance knowledge discovery by capturing underlying structures, which are, otherwise, difficult to extract. Fusing data from multiple sources has already proved useful in many applications in social network analysis, signal processing and bioinformatics.
Evrim, Acar Ataman, Papalexakis, Evangelos E., Gürdeniz, Gözde, Rasmussen, Morten Arendt, Lawaetz, Anders Juul, Nilsson, Lars Mathias, Bro, Rasmus   +6 more
openaire   +5 more sources

Data Integration and Analysis System (DIAS) as a platform for data and model integration: Cases in the field of water resources management and disaster risk reduction

Data Science Journal, 2018
The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems.
Akiyuki Kawasaki, Petra Koudelova, Katsunori Tamakawa, Asanobu Kitamoto, Eiji Ikoma, Koji Ikeuchi, Ryosuke Shibasaki, Masaru Kitsuregawa, Toshio Koike   +8 more
doaj   +1 more source

Choosing the Best Sensor Fusion Method: A Machine-Learning Approach

Sensors, 2020
Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability
Ramon F. Brena, Antonio A. Aguileta, Luis A. Trejo, Erik Molino-Minero-Re, Oscar Mayora   +4 more
doaj   +1 more source

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

Combination of molecular similarity measures using data fusion [PDF]

, 2000
Many different measures of structural similarity have been suggested for matching chemical structures, each such measure focusing upon some particular type of molecular characteristic.
Bradshaw, J., Ginn, C.M.R., Willett, P.
core   +1 more source

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

Charged particle decay of hot and rotating $^{88}$Mo nuclei in fusion-evaporation reactions [PDF]

, 2015
A study of fusion-evaporation and (partly) fusion-fission channels for the $^{88}$Mo compound nucleus, produced at different excitation energies in the reaction $^{48}$Ti + $^{40}$Ca at 300, 450 and 600 MeV beam energies, is presented. Fusion-evaporation
Baiocco, G., Bardelli, L., Barlini, S., Bednarczyk, P., Benzoni, G., Bini, M., Blasi, N., Bracco, A., Brambilla, S., Bruno, M., Camera, F., Carboni, S., Casini, G., Chbihi, A., Ciemała, M., Cinausero, M., Corsi, A., Crespi, F. C. L., D'Agostino, M., Degerlier, M., Fabris, D., Fornal, B., Giaz, A., Gramegna, F., Kmiecik, M., Kravchuk, V. L., Krzysiek, M., Leoni, S., Maj, A., Marchi, T., Matejska-Minda, M., Mazumdar, I., Mazurek, K., Million, B., Montanari, D., Morelli, L., Myalski, S., Mȩczyński, W., Nicolini, R., Olmi, A., Pasquali, G., Piantelli, S., Prete, G., Roberts, O. J., Styczeń, J., Szpak, B., Valdré, S., Wasilewska, B., Wieland, O., Wieleczko, J. P., Ziȩbliński, M.   +50 more
core   +4 more sources

Data Handling in Data Fusion: Methodologies and Applications

, 2021
The use of data fusion methodologies has increased at the same rhythm as the capability of modern analytical laboratories of measuring sample from multiple sources.
S. Azcarate, R. Ríos-Reina, J. Amigo, H. Goicoechea   +3 more
semanticscholar   +1 more source

A Comparative Study on Recent Automatic Data Fusion Methods

Computers, 2023
Automatic data fusion is an important field of machine learning that has been increasingly studied. The objective is to improve the classification performance from several individual classifiers in terms of accuracy and stability of the results.
Luis Manuel Pereira, Addisson Salazar, Luis Vergara   +2 more
doaj   +1 more source