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Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals | Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals |
Версия 14:33, 5 ноября 2019
OBJECTS RECOGNITION Web of science Результаты: 12147
Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals
https://link.springer.com/chapter/10.1007/978-3-540-47518-7_4
V. Schetinin, Valentina Zharkova, A . Brazhnikov, S. I. Zharkov, Emanuele Salerno, Luigi Bedini, Ercan E.Kuruoglu, Anna Tonazzini, Damjan Zazula, Boris Cigale, Hiroyuki Yoshida SCOPUS
A Simulation Model for the Cognitive Function of Static Objects Recognition Based on Machine-Learning Multi-agent Architectures Nagoev, Z., Pshenokova, I., Gurtueva, I., Bzhikhatlov, K.
Springerlink
https://link.springer.com/chapter/10.1007/978-3-540-47518-7_4 Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms V. Schetinin, Prof. Valentina Zharkova… in Artificial Intelligence in Recognition and… (2007)
Elibrary
ARTIFICIAL INTELLIGENCE IN OBJECTS RECOGNITION Муравьева Е.А., Сагдатуллин А.М., Емекеев А.А. https://elibrary.ru/item.asp?id=21408101