Ping-Feng Pai

Ping-Feng Pai

National Chi Nan University

H-index: 33

Asia-Taiwan

About Ping-Feng Pai

Ping-Feng Pai, With an exceptional h-index of 33 and a recent h-index of 23 (since 2020), a distinguished researcher at National Chi Nan University, specializes in the field of Machine Learning, Neural Networks, Support Vector Machines, Meta Heuristics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Forecasting inflation rates be extreme gradient boosting with the genetic algorithm

A Dual Long Short-Term Memory Model in Forecasting the Number of COVID-19 Infections

Tree-based machine learning models with optuna in predicting impedance values for circuit analysis

Using Medical Data and Clustering Techniques for a Smart Healthcare System

Machine Learning in Integrated Circuit Substrate Electrical Test (IMPACT 2023)

A Study of Optimization in Deep Neural Networks for Regression

Forecasting hourly intermittent rainfall by deep belief networks with simple exponential smoothing

RLC circuit forecast in Analog IC packaging and testing by machine learning techniques

Ping-Feng Pai Information

University

Position

Distinguished Professor of Information Management Taiwan

Citations(all)

5790

Citations(since 2020)

2451

Cited By

4333

hIndex(all)

33

hIndex(since 2020)

23

i10Index(all)

65

i10Index(since 2020)

36

Email

University Profile Page

National Chi Nan University

Google Scholar

View Google Scholar Profile

Ping-Feng Pai Skills & Research Interests

Machine Learning

Neural Networks

Support Vector Machines

Meta Heuristics

Top articles of Ping-Feng Pai

Title

Journal

Author(s)

Publication Date

Forecasting inflation rates be extreme gradient boosting with the genetic algorithm

Journal of Ambient Intelligence and Humanized Computing

Yu-Shan Li

Ping-Feng Pai

Ying-Lei Lin

2023/3

A Dual Long Short-Term Memory Model in Forecasting the Number of COVID-19 Infections

Electronics

Jung-Pin Lai

Ping-Feng Pai

2023/2/2

Tree-based machine learning models with optuna in predicting impedance values for circuit analysis

Micromachines

Jung-Pin Lai

Ying-Lei Lin

Ho-Chuan Lin

Chih-Yuan Shih

Yu-Po Wang

...

2023/1/20

Using Medical Data and Clustering Techniques for a Smart Healthcare System

Electronics

Wen-Chieh Yang

Jung-Pin Lai

Yu-Hui Liu

Ying-Lei Lin

Hung-Pin Hou

...

2023/12/28

Machine Learning in Integrated Circuit Substrate Electrical Test (IMPACT 2023)

Jung-Pin Lai

Ying-Lei Lin

Yu-Hui Liu

Ho-Chuan Lin

Chih-Yuan Shih

...

2023/10/25

A Study of Optimization in Deep Neural Networks for Regression

Chieh-Huang Chen

Jung-Pin Lai

Yu-Ming Chang

Chi-Ju Lai

Ping-Feng Pai

2023/7/14

Forecasting hourly intermittent rainfall by deep belief networks with simple exponential smoothing

Water Resources Management

Guo-Yu Huang

Chi-Ju Lai

Ping-Feng Pai

2022/10

RLC circuit forecast in Analog IC packaging and testing by machine learning techniques

Micromachines

Jung-Pin Lai

Ying-Lei Lin

Ho-Chuan Lin

Chih-Yuan Shih

Yu-Po Wang

...

2022/8/12

The use of convolutional neural networks and digital camera images in cataract detection

Electronics

Chi-Ju Lai

Ping-Feng Pai

Marvin Marvin

Hsiao-Han Hung

Si-Han Wang

...

2022/3/11

Using Light Gradient Boosting Machine with Genetic Algorithms and Google Trends in Forecasting COVID-19 Confirmed Cases.

International Journal of Information & Management Sciences

Chia-Chi Fang

Ping-Feng Pai

Chi-Ju Lai

Ying-Lei Lin

2022/12/1

Using deep learning techniques in forecasting stock markets by hybrid data with multilingual sentiment analysis

Electronics

Ying-Lei Lin

Chi-Ju Lai

Ping-Feng Pai

2022/10/28

Forecasting hotel room occupancy using long short-term memory networks with sentiment analysis and scores of customer online reviews

Applied Sciences

Yu-Ming Chang

Chieh-Huang Chen

Jung-Pin Lai

Ying-Lei Lin

Ping-Feng Pai

2021/11/2

Using machine learning models and actual transaction data for predicting real estate prices

Applied Sciences

Ping-Feng Pai

Wen-Chang Wang

2020/8/23

Using the least squares support vector regression to forecast movie sales with data from Twitter and movie databases

Symmetry

Yi-Ting Huang

Ping-Feng Pai

2020/4/15

A survey of machine learning models in renewable energy predictions

Jung-Pin Lai

Yu-Ming Chang

Chieh-Huang Chen

Ping-Feng Pai

2020/8/28

See List of Professors in Ping-Feng Pai University(National Chi Nan University)