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期刊論文
- Wen-Chieh Yang, Jung-Pin Lai, Yu-Hui Liu, Ying-Lei Lin, Hung-Pin Hou, Ping-Feng
Pai* (2023, Dec.). Using Medical Data and Clustering Techniques for a Smart
Healthcare System. Electronics, 13(1), 140, 1-20, (SCIE) - Jung-Pin Lai, Ying-Lei Lin, Yu-Hui Liu*, Ho-Chuan Lin, Chih-Yuan Shih, Yu-Po
Wang, Ping-Feng Pai (2023, Oct). Machine Learning in Integrated Circuit Substrate
Electrical Test. 2023 18th International Microsystems, Packaging, Assembly and
Circuits Technology Conference (IMPACT). (EI) - Chieh-Huang Chen , Jung-Pin Lai, Yu-Ming Chang, Chi-Ju Lai, Ping-Feng Pai*
(2023, Jul). A Study of Optimization in Deep Neural Networks for Regression.
Electronics, 12(14), 3071, 1-17. (SCIE) - Yu-Shan Li, Ping-Feng Pai*, Ying-Lei Lin (2023, Mar). Forecasting inflations by
extreme gradient boosting with the genetic algorithm. Journal of Ambient Intelligence
and Humanized Computing, 14(3),2211-2220. (EI) - Jung-Pin Lai, Ping-Feng Pai* (2023, Feb). A Dual Long Short-Term Memory Model
in Forecasting the Number of COVID-19 Infections. Electronics, 12(3),759,1-13.
(SCIE) - Jung-Pin Lai, Ying-Lei Lin, Ho-Chuan Lin, Chih-Yuan Shih, Yu-Po Wang, Ping- Feng
Pai* (2023, Feb). Tree-Based Machine Learning Models with Optuna in Predicting
Impedance Values for Circuit Analysis. Micromachines, 14(2), 265,1- 18. (SCIE) - Chia-Chi Fang, Ping-Feng Pai*, Chi-Ju Lai, Ying-Lei Lin (2022, Dec). Using light
gradient boosting machine with genetic algorithms and google trends in forecasting
COVID-19 confirmed cases. International Journal of Information and Management
Sciences, 33(4), 353-367. (EI) - Guo-Yu Huang, Chi-Ju Lai, Ping-Feng Pai* (2022, Oct). Forecasting hourly
intermittent rainfall by deep belief networks with simple exponential smoothing.
Water Resources Management, 36(13), 5207–5223. (SCIE) - Ying-Lei Lin, Chi-Ju Lai, Ping-Feng Pai* (2022, Oct). Using Deep Learning
Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment
Analysis. Electronics, 11(21),3513,1-19. (SCIE) - Jung-Pin Lai, Ying-Lei Lin, Ho-Chuan Lin, Chih-Yuan Shih, Yu-Po Wang, Ping- Feng
Pai* (2022, Aug). RLC Circuit Forecast in Analog IC Packaging and Testing by
Machine Learning Techniques. Micromachines, 13(8),1305,1-13.(SCIE) - Yu-Ming Chang, Chieh-Huang Chen, Jung-Pin Lai, Ying-Lei Lin , Ping-Feng Pai*
(2021, Nov). Forecasting Hotel Room Occupancy Using Long Short-Term Memory
Networks with Sentiment Analysis and Scores of Customer Online Reviews. Applied
Sciences, 11(21), 10291, 1-14. (SCIE) - Jung-Pin Lai, Yu-Ming Chang, Chieh-Huang Chen, Ping-Feng Pai* (2020, Aug). A
Survey of Machine Learning Models in Renewable Energy Predictions. Applied
Sciences, 10(17), 5975,1-20. (SCIE) - Ping-Feng Pai*, Wen-Chang Wang (2020, Aug). Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices. Applied Sciences, 10(17), 5832, 1-11. (SCIE)
- Yi-Ting Huang, Ping-Feng Pai* (2020, Apr). Using the least squares support vector
regression to forecast movie sales by data from Twitter and movie databases.
Symmetry, 12(4), 625,1-10. (SCIE) - Kuo-Ping Lin, Ping-Feng Pai*, Yi-Ju Ting (2019, Jul). Deep belief networks with
genetic algorithms in forecasting wind speed. IEEE Access, 7, 99244-99253. (SCIE) - Ping-Feng Pai*, Chia-Hsin Liu (2018, Oct). Predicting vehicle sales by sentiment
analysis of Twitter data and stock market values. IEEE Access, 6,57655-57662.
(SCIE). - Ping-Feng Pai*, Ling-Chuang Hong, Kuo-Ping Lin (2018, Jul). Using Internet search
trends and historical trading data for predicting stock markets by the least squares
support vector regression model. Computational Intelligence and Neuroscience,
Volume 2018, Article ID 6305246, 15 pages. - Kuo-Ping Lin, Ming-Lang Tseng, Ping-Feng Pai (2018, Jan). Sustainable supply hain
management using approximate fuzzy DEMATEL method. Resources, Conservation
and Recycling, 128,134-142. (SCIE)