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Your search keyword '"Ngo, Long Thanh"' showing total 116 results
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116 results on '"Ngo, Long Thanh"'

3. Assessment of Modified Z-Plasty for Cervical Spine Myelopathy

Author

Vu, Truc Tam, primary, Nguyen, Hanh The, additional, Do, Riet Ngoc, additional, Le, Thanh Dang, additional, Tieu, Vien Chi, additional, Nguyen, Tram Thi Bao, additional, Tran, Khai Dang, additional, Bui, Lan Hoang, additional, Ha, Tuan Duc, additional, Ngo, Long Thanh, additional, Diep, Phuc Nghia, additional, and Nguyen, Tin Trong, additional

Published
2022
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4. Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification

Author

Mai, Dinh Sinh, Ngo, Long Thanh, Trinh, Le Hung, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nguyen, Ngoc Thanh, editor, Jearanaitanakij, Kietikul, editor, Selamat, Ali, editor, Trawiński, Bogdan, editor, and Chittayasothorn, Suphamit, editor

Published
2020
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7. Satellite Image Classification Based Spatial-Spectral Fuzzy Clustering Algorithm

Author

Mai, Sinh Dinh, Ngo, Long Thanh, Le Trinh, Hung, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Nguyen, Ngoc Thanh, editor, Hoang, Duong Hung, editor, Hong, Tzung-Pei, editor, Pham, Hoang, editor, and Trawiński, Bogdan, editor

Published
2018
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20. Genetic Based Interval Type-2 Fuzzy C-Means Clustering

Author

Nguyen, Dzung Dinh, Ngo, Long Thanh, Pham, Long The, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Vinh, Phan Cong, editor, Hung, Nguyen Manh, editor, Tung, Nguyen Thanh, editor, and Suzuki, Junichi, editor

Published
2013
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22. Learning Rule for TSK Fuzzy Logic Systems Using Interval Type-2 Fuzzy Subtractive Clustering

Author

Pham, Binh Huy, Ha, Hai Trung, Ngo, Long Thanh, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bui, Lam Thu, editor, Ong, Yew Soon, editor, Hoai, Nguyen Xuan, editor, Ishibuchi, Hisao, editor, and Suganthan, Ponnuthurai Nagaratnam, editor

Published
2012
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23. Approach to Image Segmentation Based on Interval Type-2 Fuzzy Subtractive Clustering

Author

Ngo, Long Thanh, Pham, Binh Huy, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Pan, Jeng-Shyang, editor, Chen, Shyi-Ming, editor, and Nguyen, Ngoc Thanh, editor

Published
2012
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33. Optimization of interval type-2 fuzzy system using the PSO technique for predictive problems.

Author

Mai, Dinh Sinh, Dang, Trong Hop, and Ngo, Long Thanh

Subjects
FUZZY logic, ARTIFICIAL neural networks, SUPPORT vector machines
Abstract

An interval type-2 fuzzy logic system (IT2FLS) can function well with uncertain data, with which a type-1 fuzzy logic system (T1FLS) is ineffective because its membership function rests upon crisp values. However, similar to T1FLSs, there are challenges associated with IT2FLSs in selecting parameters, which can significantly affect the accuracy of the classification results with their relatively high sensitivity. This paper discusses and proposes a hybrid model based on IT2FLS and particle swarm optimization (PSO) for prediction problems. The main objective of this paper is to find the optimal solution for the unknown fuzzy systems using labelled data for training the fuzzy system. The PSO technique was used to find the optimal parameters of the Gaussian membership functions which utilized for IT2FLSs. The authors tested two data sets for each of the two prediction problems, namely: burnt forest area prediction and wine quality prediction. The predictive results were compared with other predictive methods including random forest (RF), support vector machines (SVM), artificial neural network (ANN), adaptive neuro fuzzy inference system (ANFIS) and IT2FLS with parameters generated by using the fuzzy c-means algorithm (IT2FLS-FCM). Experiment results showed that the proposed method could significantly improve accuracy compared to several other predictive techniques. [ABSTRACT FROM AUTHOR]

Published
2021
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38. Isolation of novel triple‐reassortant swine H3N2 influenza viruses possessing the hemagglutinin and neuraminidase genes of a seasonal influenza virus in Vietnam in 2010

Author

Ngo, Long Thanh, Hiromoto, Yasuaki, Pham, Vu Phong, Le, Ha Thi Hong, Nguyen, Ha Truc, Le, Vu Tri, Takemae, Nobuhiro, and Saito, Takehiko

Subjects
Swine Diseases, Swine, animal diseases, viruses, Influenza A Virus, H3N2 Subtype, Molecular Sequence Data, virus diseases, Neuraminidase, Hemagglutinin Glycoproteins, Influenza Virus, Sequence Analysis, DNA, influenza virus, Viral Proteins, Short Article, Orthomyxoviridae Infections, Vietnam, triple reassortant, surveillance, Animals, Humans, RNA, Viral, H3N2 subtype, Reassortant Viruses
Abstract

Please cite this paper as: Ngo et al. (2012) Isolation of novel triple‐reassortant swine H3N2 influenza viruses possessing the hemagglutinin and neuraminidase genes of a seasonal influenza virus in Vietnam in 2010. Influenza and Other Respiratory Viruses 6(1), 6–10. Surveillance of swine influenza viruses (SIVs) in 31 pig farms in northern and southern parts of Vietnam was conducted. Six H3N2 influenza A viruses were isolated from a pig farm in southern Vietnam. They were novel genetic reassortants between a triple–reassortant SIV and a human seasonal H3N2 virus. Their hemagglutinin and neuraminidase genes were derived from a human virus circulating around 2004–2006 and the remaining genes from a triple‐reassortant SIV that originated in North America. This is the first report describing the isolation of a novel triple‐reassortant SIV in Vietnam.

Published
2011

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