His work focuses on many connections between Demography and other disciplines, such as Population, that overlap with his field of interest in Environmental health. Environmental health and Population are frequently intertwined in his study. His biological study deals with issues like Combinatorics, which deal with fields such as Interval (graph theory). His Combinatorics research extends to the thematically linked field of Interval (graph theory). His study explores the link between Regression and topics such as Statistics that cross with problems in Time series. Quantum mechanics is intertwined with Term (time) and Scale (ratio) in his research. His research combines Quantum mechanics and Scale (ratio). His Econometrics research spans across into subjects like Agricultural economics and Economic forecasting. He combines Agricultural economics and Agriculture in his research.
Many of his studies on Machine learning involve topics that are commonly interrelated, such as Structural equation modeling, Support vector machine and Time series. His Paleontology study frequently draws parallels with other fields, such as Series (stratigraphy) and Context (archaeology). His study on Context (archaeology) is mostly dedicated to connecting different topics, such as Paleontology. He combines Artificial intelligence and Algorithm in his research. By researching both Algorithm and Artificial intelligence, Yukun Bao produces research that crosses academic boundaries. His Social psychology study frequently draws connections between adjacent fields such as Unified theory of acceptance and use of technology. His study brings together the fields of Expectancy theory and Unified theory of acceptance and use of technology. Yukun Bao undertakes interdisciplinary study in the fields of Expectancy theory and Social psychology through his research. His research brings together the fields of Technology acceptance model and Human–computer interaction.
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Impact of “e-Learning crack-up” perception on psychological distress among college students during COVID-19 pandemic: A mediating role of “fear of academic year loss”
Najmul Hasan;Yukun Bao.
Children and Youth Services Review (2020)
Multi-step-ahead time series prediction using multiple-output support vector regression
Yukun Bao;Tao Xiong;Zhongyi Hu.
A PSO and pattern search based memetic algorithm for SVMs parameters optimization
Yukun Bao;Zhongyi Hu;Tao Xiong.
Hybrid filter-wrapper feature selection for short-term load forecasting
Zhongyi Hu;Yukun Bao;Tao Xiong;Raymond Chiong.
Engineering Applications of Artificial Intelligence (2015)
Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices
Tao Xiong;Yukun Bao;Zhongyi Hu.
Energy Economics (2013)
Investigating factors influencing the adoption of e-Health in developing countries: A patient's perspective.
M Rakibul Hoque;Yukun Bao;Golam Sorwar.
Informatics for Health & Social Care (2017)
Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms
Tao Xiong;Yukun Bao;Zhongyi Hu;Raymond Chiong.
Information Sciences (2015)
EXPLORING GENDER DIFFERENCES ON GENERAL AND SPECIFIC COMPUTER SELF-EFFICACY IN MOBILE LEARNING ADOPTION*
Yukun Bao;Tao Xiong;Zhongyi Hu;Mboni Kibelloh.
Journal of Educational Computing Research (2013)
Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection
Zhongyi Hu;Yukun Bao;Raymond Chiong;Tao Xiong.
Acceptance and use predictors of fitness wearable technology and intention to recommend
Shamim Talukder;Raymond Chiong;Yukun Bao;Babur Hayat Malik.
Industrial Management and Data Systems (2019)
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