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Browsing by Author Jiang, Feifeng
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Showing results 1 to 17 of 17
Title
Author(s)
Issue Date
A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data
Journal:
Energy and Buildings
Ma, Jun
Cheng, Jack C.P.
Jiang, Feifeng
Chen, Weiwei
Wang, Mingzhu
Zhai, Chong
2020
A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction
Journal:
Sustainable Cities and Society
Ma, Jun
Ding, Yuexiong
Cheng, Jack C.P.
Jiang, Feifeng
Gan, Vincent J.L.
Xu, Zherui
2020
A Spatial Analysis Methodology Based on Lazy Ensembled Adaptive Associative Classifier and GIS for Examining the Influential Factors on Traffic Fatalities
Journal:
IEEE Access
Zhai, Chong
Li, Zheng
Jiang, Feifeng
Ma, Jack J.
Xu, Zherui
2020
A temporal-spatial interpolation and extrapolation method based on geographic Long Short-Term Memory neural network for PM2.5
Journal:
Journal of Cleaner Production
Ma, Jun
Ding, Yuexiong
Cheng, Jack C.P.
Jiang, Feifeng
Wan, Zhiwei
2019
Analysis of run-off-road accidents by association rule mining and geographic information system techniques on imbalanced datasets
Journal:
Sustainability
Jiang, Feifeng
Yuen, Kwok Kit Richard
Lee, Eric Wai Ming
Ma, Jun
2020
Analyzing driving factors of land values in urban scale based on big data and non-linear machine learning techniques
Journal:
Land Use Policy
Ma, Jun
Cheng, Jack C.P.
Jiang, Feifeng
Chen, Weiwei
Zhang, Jingcheng
2020
Automated site planning using CAIN-GAN model
Journal:
Automation in Construction
Jiang, Feifeng
Ma, Jun
Webster, Christopher John
Wang, Wei
Cheng, Jack CP
1-Mar-2024
Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning
Journal:
Accident Analysis & Prevention
Yu, Xujing
Ma, Jun
Tang, Yihong
Yang, Tianren
Jiang, Feifeng
1-Mar-2024
Estimating and explaining regional land value distribution using attention-enhanced deep generative models
Journal:
Computers in Industry
Jiang, Feifeng
Ma, Jun
Webster, Christopher John
Chen, Weiwei
Wang, Wei
1-Aug-2024
Exploration of the Hidden Influential Factors on Crime Activities: A Big Data Approach
Journal:
IEEE Access
Zhou, Jianming
Li, Zheng
Ma, Jack J.
Jiang, Feifeng
2020
Generative urban design: A systematic review on problem formulation, design generation, and decision-making
Journal:
Progress in Planning
Jiang, Feifeng
Ma, Jun
Webster, Christopher John
Chiaradia, Alain
Zhou, Yulun
Zhao, Zhan
Zhang, Xiaohu
22-Jul-2023
Identification of high impact factors of air quality on a national scale using big data and machine learning techniques
Journal:
Journal of Cleaner Production
Ma, Jun
Ding, Yuexiong
Cheng, Jack C.P.
Jiang, Feifeng
Tan, Yi
Gan, Vincent J.L.
Wan, Zhiwei
2020
Identification of the most influential areas for air pollution control using XGBoost and Grid Importance Rank
Journal:
Journal of Cleaner Production
Ma, Jun
Cheng, Jack C.P.
Xu, Zherui
Chen, Keyu
Lin, Changqing
Jiang, Feifeng
2020
Real-time detection of wildfire risk caused by powerline vegetation faults using advanced machine learning techniques
Journal:
Advanced Engineering Informatics
Ma, Jun
Cheng, Jack C.P.
Jiang, Feifeng
Gan, Vincent J.L.
Wang, Mingzhu
Zhai, Chong
2020
Site planning automation using a novel deep learning-based generative model
Proceeding/Conference:
2023 International Civil Engineering and Architecture Conference (17/03/2023-20/03/2023, Kyoto)
Jiang, Feifeng
Ma, Jun
20-Mar-2023
Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques
Journal:
Water Research
Ma, Jun
Ding, Yuexiong
Cheng, Jack C.P.
Jiang, Feifeng
Xu, Zherui
2020
Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series
Journal:
Advanced Engineering Informatics
Ma, Jun
Cheng, Jack C.P.
Ding, Yuexiong
Lin, Changqing
Jiang, Feifeng
Wang, Mingzhu
Zhai, Chong
2020