Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Nearest centroid classifier"'
Publikováno v:
IEEE Access, Vol 12, Pp 141916-141931 (2024)
Surface electromyography (sEMG), the electrical signals generated by muscle activity, plays an important role in prosthetics, orthotics, and human-computer interaction because of its non-invasive signal acquisition, real-time responsiveness, and abil
Externí odkaz:
https://doaj.org/article/80be388dcc784573917d01fab12c2d56
Akademický článek
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Autor:
Eduardo Velloso, Lars Kulik, Christopher Leckie, James C. Bezdek, Masud Moshtaghi, Yousef Kowsar
Publikováno v:
Information Sciences. 582:198-214
Shape analogy is a key technique in analyzing time series . That is, time series are compared by how much they look alike. This concept has been applied for many years in geometry. Notably, none of the current techniques describe a time series as a g
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Early detection of fault events through electromechanical systems operation is one of the most attractive and critical data challenges in modern industry. Although these electromechanical systems tend to experiment with typical faults, a common event
Autor:
Muhammad Firdaus Akbar, Nor Ashidi Mat Isa, Dhamyaa H. Al-Nuaimi, Intan Sorfina Zainal Abidin
Publikováno v:
IEEE Access, Vol 9, Pp 137560-137583 (2021)
Automatic modulation classification (AMC) is a method that supported different wireless communication systems for modulation type classification. Currently, orthogonal frequency division multiplexing, multiple-input, multiple-output systems are widel
Publikováno v:
JITeCS (Journal of Information Technology and Computer Science), Vol 5, Iss 1, Pp 57-64 (2020)
Classification method is misled by outlier. However, there are few research of classification with outlier removal, especially for Nearest Centroid Classifier Method. The proposed methodology consists of two stages. First, preprocess the data with ou
Autor:
Shantanu Debnath, Sonika Johri, Iordanis Kerenidis, Anupam Prakash, Avinash Mocherla, Jungsang Kim, Alexandros Singk
Publikováno v:
npj Quantum Information
npj Quantum Information, Nature, 2021
npj Quantum Information, Vol 7, Iss 1, Pp 1-11 (2021)
npj Quantum Information, Nature, 2021
npj Quantum Information, Vol 7, Iss 1, Pp 1-11 (2021)
Quantum machine learning has seen considerable theoretical and practical developments in recent years and has become a promising area for finding real world applications of quantum computers. In pursuit of this goal, here we combine state-of-the-art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76360b43dd9311209fc1d0b5a055cdd9
https://hal.archives-ouvertes.fr/hal-03432449
https://hal.archives-ouvertes.fr/hal-03432449
Publikováno v:
CVPR
Domain adaptation (DA) aims to transfer knowledge from a label-rich but heterogeneous domain to a label-scare domain, which alleviates the labeling efforts and attracts considerable attention. Different from previous methods focusing on learning doma
Akademický článek
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