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Your search keyword '"Wu, Jimmy Ming-Tai"' showing total 40 results
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40 results on '"Wu, Jimmy Ming-Tai"'

1. Optimizing Option Short Strangle Strategies Through Genetic Algorithm

Author

Wu, Dai-Jia, Wu, Mu-En, Luo, Sheng-Chi, Wu, Jimmy Ming-Tai, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nguyen, Ngoc Thanh, editor, Chbeir, Richard, editor, Manolopoulos, Yannis, editor, Fujita, Hamido, editor, Hong, Tzung-Pei, editor, Nguyen, Le Minh, editor, and Wojtkiewicz, Krystian, editor

Published
2024
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2. Construct Alpha Factors in Cryptocurrency Market

Author

Wu, Mu-En, Chiang, Yu-Hung, Huang, Jun-Lin, Wu, Jimmy Ming-Tai, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Pllana, Sabri, editor, Hanne, Thomas, editor, and Siarry, Patrick, editor

Published
2024
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7. Top-k Dominating Queries on Incremental Datasets

Author

Wu, Jimmy Ming-Tai, Wang, Ke, Lin, Jerry Chun-Wei, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rage, Uday Kiran, editor, Goyal, Vikram, editor, and Reddy, P. Krishna, editor

Published
2022
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8. Mining High Utility-probability Sequential Patterns in Bigdata Environments

Author

Wu, Jimmy Ming-Tai, Liu, Shuo, Wu, Mu-En, Lin, Jerry Chun-Wei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Chu, Shu-Chuan, editor, Lin, Jerry Chun-Wei, editor, Li, Jianpo, editor, and Pan, Jeng-Shyang, editor

Published
2022
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9. An Improved GA-Based Recommendation System for Soil Fertilization

Author

Ahmed, Usman, Lin, Jerry Chun-Wei, Srivastava, Gautam, Wu, Jimmy Ming-Tai, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Chu, Shu-Chuan, editor, Lin, Jerry Chun-Wei, editor, Li, Jianpo, editor, and Pan, Jeng-Shyang, editor

Published
2022
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22. A deep neural network electrocardiogram analysis framework for left ventricular hypertrophy prediction

Author

Wu, Jimmy Ming-Tai, Tsai, Meng-Hsiun, Xiao, Sheng-Han, and Liaw, Yung-Po

Abstract

Heart disease is ranked second in the top ten death causes in Taiwan in 2016, while the amount of heart disease fatalities is increasing by about 700 individuals each year. Therefore, it is urgent to improve heart disease diagnostic accuracy. This research combines profound neural networks and information from the ECG to create an ECG classifier for left ventricular hypertrophy. The classification system uses data preprocessing to impute missing values of ECG data, which can be collected from IoT equipment and monitor the body situation quickly, and transform these data for use by the deep neural network. Then, the data is input into a six-layers deep neural network designed for this study and is used to predict left ventricular hypertrophy. L2-regularization and dropout are used to avoid overfitting in each model iteration. The system has been named the electrocardiographic left ventricular hypertrophy classifier (ELVHC). The experimental findings demonstrate that the forecast model’s precision is 73%, the sensitivity is 66%, and the specificity is 78%, which is considerably greater than two clinical techniques.

Published
2024
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29. A graph-based CNN-LSTM stock price prediction algorithm with leading indicators.

Author

Wu, Jimmy Ming-Tai, Li, Zhongcui, Herencsar, Norbert, Vo, Bay, and Lin, Jerry Chun-Wei

Subjects
*ECONOMIC indicators, *CONVOLUTIONAL neural networks, *FINANCIAL management, *INVESTORS, *INVESTMENT products, *EARNINGS forecasting, *BUSINESS forecasting
Abstract

In today's society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, savings, bank financial products, bonds, stocks, commodity spots, real estate, gold, art, and many others. Wealth management tools manage and assign families, individuals, enterprises, and institutions to achieve the purpose of increasing and maintaining value to accelerate asset growth. Among them, in investment and financial management, people's favorite product of investment often stocks, because the stock market has great advantages and charm, especially compared with other investment methods. More and more scholars have developed methods of prediction from multiple angles for the stock market. According to the feature of financial time series and the task of price prediction, this article proposes a new framework structure to achieve a more accurate prediction of the stock price, which combines Convolution Neural Network (CNN) and Long–Short-Term Memory Neural Network (LSTM). This new method is aptly named stock sequence array convolutional LSTM (SACLSTM). It constructs a sequence array of historical data and its leading indicators (options and futures), and uses the array as the input image of the CNN framework, and extracts certain feature vectors through the convolutional layer and the layer of pooling, and as the input vector of LSTM, and takes ten stocks in U.S.A and Taiwan as the experimental data. Compared with previous methods, the prediction performance of the proposed algorithm in this article leads to better results when compared directly. [ABSTRACT FROM AUTHOR]

Published
2023
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