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128 results on '"Tuan, Tran Manh"'

9. Colorectal Cancer Diagnosis with Complex Fuzzy Inference System

Author

Ngan, Tran Thi, Lan, Luong Thi Hong, Tuan, Tran Manh, Son, Le Hoang, Tuan, Le Minh, Minh, Nguyen Hai, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Satapathy, Suresh Chandra, editor, Bhateja, Vikrant, editor, Nguyen, Bao Le, editor, Nguyen, Nhu Gia, editor, and Le, Dac-Nhuong, editor

Published
2020
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10. Fuzzy Min–Max Neural Network and Genetic Algorithm in Diagnosing Liver-Related Diseases

Author

Minh, Vu Dinh, Ngan, Tran Thi, Tuan, Tran Manh, Dung, Le Ba, Cuong, Nguyen Doan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Satapathy, Suresh Chandra, editor, Bhateja, Vikrant, editor, Nguyen, Bao Le, editor, Nguyen, Nhu Gia, editor, and Le, Dac-Nhuong, editor

Published
2020
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15. Medical Diagnosis from Images with Intuitionistic Fuzzy Distance Measures

Author

Ngan, Roan Thi, Cuong, Bui Cong, Tuan, Tran Manh, Son, Le Hoang, 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, Hung Son, editor, Ha, Quang-Thuy, editor, Li, Tianrui, editor, and Przybyła-Kasperek, Małgorzata, editor

Published
2018
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16. Equality of ordinary and symbolic powers of Stanley-Reisner ideals

Author

Trung, Ngo Viet and Tuan, Tran Manh

Subjects
Mathematics - Commutative Algebra, 13C05, 13H10
Abstract

This paper studies properties of simplicial complexes for which the m-th symbolic power of the Stanley-Reisner ideal equals to the m-th ordinary power for a given m > 1. The main results are combinatorial characterizations of such complexes in the two-dimensional case. It turns out that there exist only a finite number of complexes with this property and that these complexes can be described completely. As a consequence we are able to determine all complexes for which the m-th ordinary power of the Stanley-Reisner ideal is Cohen-Macaulay for a given m > 1., Comment: 19 pages

Published
2010
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18. Contributors

Author

Abdul Jamil, Muhammad Mahadi, primary, Abdullah, Hadi, additional, Balakrishna, Sivadi, additional, Banerjee, Amit, additional, Biswas, Debabrata, additional, Chakraborty, Chinmay, additional, Chandrasekaran, R., additional, Devi, Salam Shuleenda, additional, Dutta, Arijit, additional, Giap, Cu Nguyen, additional, Hemalatha, R.J., additional, Josephin Arockia Dhivya, A., additional, Keerthana, A., additional, Khan, Ijaz, additional, Kumar, Anand, additional, Laskar, Rabul Hussain, additional, Mishra, Sushruta, additional, Mishra, Brojo Kishore, additional, Moharana, Meena, additional, Ngan, Tran Thi, additional, Nor, Faridah Mohd, additional, Pandey, Manjusha, additional, Rath, Mamata, additional, Routaray, Siddharth Swarup, additional, Sangeethapriya, K., additional, Solanki, Vijender Kumar, additional, Son, Le Hoang, additional, Srividhya, G., additional, Thamizhvani, T.R., additional, Thirumaran, M., additional, Toan, Do Nang, additional, Tripathy, Hrudaya Kumar, additional, Tuan, Tran Manh, additional, and Wahab, Mohd Helmy Bin Abd, additional

Published
2020
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19. A New Neuro-Fuzzy Inference System for Insurance Forecasting

Author

Son, Le Hoang, Khuong, Mai Ngoc, Tuan, Tran Manh, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio, Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Akagi, Masato, editor, Nguyen, Thanh-Thuy, editor, Vu, Duc-Thai, editor, Phung, Trung-Nghia, editor, and Huynh, Van-Nam, editor

Published
2017
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27. Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data.

Author

Thong, Pham Huy, Smarandache, Florentin, Huan, Phung The, Tuan, Tran Manh, Ngan, Tran Thi, Thai, Vu Duc, Giang, Nguyen Long, and Son, Le Hoang

Subjects
DATA structures, FUZZY clustering technique, CLUSTER analysis (Statistics), NEUTROSOPHIC logic, FUZZY logic
Abstract

Clustering is a crucial method for deciphering data structure and producing new information. Due to its significance in revealing fundamental connections between the human brain and events, it is essential to utilize clustering for cognitive research. Dealing with noisy data caused by inaccurate synthesis from several sources or misleading data production processes is one of the most intriguing clustering difficulties. Noisy data can lead to incorrect object recognition and inference. This research aims to innovate a novel clustering approach, named Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering (PNTS3FCM), to solve the clustering problem with noisy data using neutral and refusal degrees in the definition of Picture Fuzzy Set (PFS) and Neutrosophic Set (NS). Our contribution is to propose a new optimization model with four essential components: clustering, outlier removal, safe semi-supervised fuzzy clustering and partitioning with labeled and unlabeled data. The effectiveness and flexibility of the proposed technique are estimated and compared with the state-of-art methods, standard Picture fuzzy clustering (FC-PFS) and Confidence-weighted safe semi-supervised clustering (CS3FCM) on benchmark UCI datasets. The experimental results show that our method is better at least 10/15 datasets than the compared methods in terms of clustering quality and computational time. [ABSTRACT FROM AUTHOR]

Published
2023
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33. A Novel High-Frequency Hybrid Resonant Converter for CC-CV Charger of 48V Urban-Electric Vehicles

Author

tuan tran manh, Kritika Deepak, DUONG TRAN, Mohamed El Baghdadi, Omar Hegazy, Electromobility research centre, Faculty of Engineering, and Electrical Engineering and Power Electronics

Abstract

In this paper, a novel hybrid resonant converter for a low voltage high current on-board charge system is proposed. Two transformers are employed with connected-series primary and parallel secondary, which reduces the step-down ratio of the transformer and current stress on secondary devices. Constant Current (CC) and Constant Voltage (CV) charging profile can be performed automatically by reconfiguring between a high order resonant network and a series LC resonant tank at the primary side without frequency or phase-shift modulation. Due to excellent soft switching and output regulation characteristics, the proposed converter design is suitable to operate at several-hundred kHz up to MHz switching frequencies. By adopting GaN-FETs and high-frequency planar transformers, the power density and efficiency of the proposed design can be further improved. In this article, operating principle and steady state analysis are presented. Additionally, simulation and experiment results are provided to validate the feasibility of proposed converter

Published
2022

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