Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Meizhu Li"'
Publikováno v:
Mathematics, Vol 12, Iss 22, p 3632 (2024)
The theory of multi-source information fusion plays a pivotal role in decision-making, especially when handling uncertain or imprecise information. Among the existing frameworks, evidence theory has proven effective for integrating diverse informatio
Externí odkaz:
https://doaj.org/article/32608e32c0b5423faf26996ed67bcfc5
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 10 (2023)
INTRODUCTION: With the development of technology and policy support, high-speed rail's temporal and spatial layout is gradually expanding, and it becomes essential to ensure high-safety operation. OBJECTIVES: The real-time correlation fault diagnosis
Externí odkaz:
https://doaj.org/article/0d0acc67f755462fb56bec89b442d411
Publikováno v:
Sensors, Vol 20, Iss 18, p 5262 (2020)
Supervised hyperspectral image (HSI) classification relies on accurate label information. However, it is not always possible to collect perfectly accurate labels for training samples. This motivates the development of classifiers that are sufficientl
Externí odkaz:
https://doaj.org/article/8c22ac86abd8417ca6d6c2b99bd38741
Publikováno v:
International Journal of Modern Physics C.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3e52eedc9dd76a90ee50595d4d8d4be
https://doi.org/10.1142/s0129183124500062
https://doi.org/10.1142/s0129183124500062
Publikováno v:
Chaos, Solitons & Fractals. 161:112264
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4914b9615436400246e75d45ab598f14
https://doi.org/10.1016/j.chaos.2022.112264
https://doi.org/10.1016/j.chaos.2022.112264
Publikováno v:
Insects, Vol 15, Iss 10, p 796 (2024)
The male annihilation technique (MAT) plays a crucial role in the pest management program of the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae). However, a suitable method for real-time and accurate assessment of MAT’s cont
Externí odkaz:
https://doaj.org/article/bd31646812eb41529c825559cf21b87b
Publikováno v:
Chaos, Solitons & Fractals. 117:283-296
Network theory has been widely used to describe complex systems in the real world. However, following the research of networks science, a network with one relationship in it can not be used in a multi-relationship complex system. Therefore, new netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e10e1322a9a97e07d34253cc86cec896
https://doi.org/10.1016/j.chaos.2018.04.033
https://doi.org/10.1016/j.chaos.2018.04.033
Publikováno v:
2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP)
Dynamic classifier selection (DCS) is a classification technique that, for each new sample to be classified, selects and uses the most competent classifier among a set of available ones. We here propose a novel DCS model (R-DCS) based on the robustne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88f1cceeb7c6216f47a8c81fd195893e
https://biblio.ugent.be/publication/8621750
https://biblio.ugent.be/publication/8621750
Publikováno v:
Engineering Applications of Artificial Intelligence. 47:61-67
The Dempster-Shafer theory is widely applied in uncertainty modelling and knowledge reasoning due to its ability of expressing uncertain information. A distance between two basic probability assignments (BPAs) presents a measure of performance for id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::887b4c3f3470a2f9c7506605b6782705
https://doi.org/10.1016/j.engappai.2015.06.004
https://doi.org/10.1016/j.engappai.2015.06.004
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319975467
SMPS
UNCERTAINTY MODELLING IN DATA SCIENCE
SMPS
UNCERTAINTY MODELLING IN DATA SCIENCE
Dynamic classifier selection is a classification technique that, for every new instance to be classified, selects and uses the most competent classifier among a set of available ones. In this way, a new classifier is obtained, whose accuracy often ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad8ee44b7c5ec6cb8979e2c93f8f010b
https://doi.org/10.1007/978-3-319-97547-4_20
https://doi.org/10.1007/978-3-319-97547-4_20