期刊論文

1. 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)
2.  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)
3. 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)
4. 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)
5. 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)
6. 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)
7. 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)
8. 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)
9. 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)
10. 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)
11. 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)
12. 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)
13. 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)
14. 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)
15. 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)
16. 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).
17. 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.
18. 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)