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Deqing Zhai
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2020 – today
- 2023
- [c6]Deqing Zhai, Bryan Ong, Kamalpreet Kaur, Nick Leong, Esther Ho, Yeng Chai Soh:
Profiling Energy and Built Environment Performance of A Smart Building in Singapore: A Case Study of Multi-Periods of Covid-19 Pandemic. IECON 2023: 1-6 - 2022
- [i6]Deqing Zhai, Xiuju Fu, Xiaofeng Yin, Haiyan Xu, Wanbing Zhang, Ning Li:
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach - Part 1. CoRR abs/2204.03899 (2022) - [i5]Deqing Zhai, Xiuju Fu, Xiaofeng Yin, Haiyan Xu, Wanbing Zhang, Ning Li:
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach - Part 2. CoRR abs/2204.03955 (2022) - [i4]Deqing Zhai, Xiuju Fu, Xiaofeng Yin, Haiyan Xu, Wanbing Zhang:
Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach. CoRR abs/2204.04085 (2022) - [i3]Deqing Zhai, Yeng Chai Soh:
Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches. CoRR abs/2205.00833 (2022) - [i2]Deqing Zhai, Xiuju Fu, Xiaofeng Yin, Haiyan Xu, Wanbing Zhang, Ning Li:
Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach. CoRR abs/2205.07945 (2022)
2010 – 2019
- 2019
- [c5]Haiyan Xu
, Vasundhara Jayaraman
Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data. IEEM 2019: 354-358 - [c4]Deqing Zhai, Xiuju Fu, Haiyan Xu
Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations. IEEM 2019: 1486-1490 - 2018
- [c3]Tanaya Chaudhuri, Deqing Zhai, Yeng Chai Soh, Hua Li, Lihua Xie, Xianhua Ou:
Convolutional Neural Network and Kernel Methods for Occupant Thermal State Detection using Wearable Technology. IJCNN 2018: 1-8 - [c2]Deqing Zhai, Tanaya Chaudhuri, Yeng Chai Soh, Xianhua Ou, Chaoyang Jiang:
Improvement of Energy Efficiency of Markov ACMV Systems based on PTS Information of Occupants. IJCNN 2018: 1-7 - 2017
- [c1]Deqing Zhai, Yeng Chai Soh:
Balancing indoor thermal comfort and energy consumption of air-conditioning and mechanical ventilation systems via sparse Firefly algorithm optimization. IJCNN 2017: 1488-1494 - 2016
- [i1]Chaoyang Jiang, Yeng Chai Soh, Hua Li, Mustafa K. Masood, Zhe Wei, Xiaoli Zhou, Deqing Zhai:
CFD results calibration from sparse sensor observations with a case study for indoor thermal map. CoRR abs/1612.04227 (2016)
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