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Dehua Gao
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2020 – today
- 2023
- [j16]Dehua Gao, Yumei Yang:
Identifying the Impact of Artifacts-Based Exploration and Exploitation on Routines' Formation Dynamics: An Agent-Based Model. J. Artif. Soc. Soc. Simul. 26(3) (2023) - [c4]Dehua Gao, Kai Wu
, Jiaquan Li, Junpei Zhong, Huan Zhao:
Experimental Study on the Effect of Singularity on the Stiffness Modelling of Industrial Robots. ICMRE 2023: 46-51 - 2022
- [j15]Lang Qiao, Dehua Gao, Ruomei Zhao, Weijie Tang
Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery. Comput. Electron. Agric. 192: 106603 (2022) - [j14]Ruomei Zhao, Lulu An, Weijie Tang
Deep learning assisted continuous wavelet transform-based spectrogram for the detection of chlorophyll content in potato leaves. Comput. Electron. Agric. 195: 106802 (2022) - [j13]Lang Qiao, Weijie Tang
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages. Comput. Electron. Agric. 196: 106775 (2022) - [j12]Dehua Gao, Lang Qiao, Lulu An, Hong Sun, Minzan Li, Ruomei Zhao, Weijie Tang
Diagnosis of maize chlorophyll content based on hybrid preprocessing and wavelengths optimization. Comput. Electron. Agric. 197: 106934 (2022) - 2021
- [j11]Dehua Gao, Minzan Li, Junyi Zhang, Di Song
Improvement of chlorophyll content estimation on maize leaf by vein removal in hyperspectral image. Comput. Electron. Agric. 184: 106077 (2021) - [j10]Di Song
Development of crop chlorophyll detector based on a type of interference filter optical sensor. Comput. Electron. Agric. 187: 106260 (2021) - [j9]Di Song
Chlorophyll content estimation based on cascade spectral optimizations of interval and wavelength characteristics. Comput. Electron. Agric. 189: 106413 (2021) - 2020
- [j8]Lang Qiao, Dehua Gao, Junyi Zhang, Minzan Li, Hong Sun, Junyong Ma:
Dynamic Influence Elimination and Chlorophyll Content Diagnosis of Maize Using UAV Spectral Imagery. Remote. Sens. 12(16): 2650 (2020) - [j7]Junyi Zhang, Hong Sun, Dehua Gao, Lang Qiao, Ning Liu
Detection of Canopy Chlorophyll Content of Corn Based on Continuous Wavelet Transform Analysis. Remote. Sens. 12(17): 2741 (2020)
2010 – 2019
- 2019
- [j6]Liangliang Yang, Hao Guo, Shuming Yang, Yohei Hoshino
Generation of a High-Precision Digital Elevation Model for Fields in Mountain Regions Using RTK-GPS. Int. J. Autom. Technol. 13(5): 671-678 (2019) - 2018
- [j5]Dehua Gao, Flaminio Squazzoni, Xiuquan Deng:
The role of cognitive artifacts in organizational routine dynamics: an agent-based model. Comput. Math. Organ. Theory 24(4): 473-499 (2018) - [j4]Dehua Gao
The Intertwining Impact of Intraorganizational and Routine Networks on Routine Replication Dynamics: An Agent-Based Model. Complex. 2018: 8496235:1-8496235:23 (2018) - 2017
- [c3]Liangliang Yang, Dehua Gao, Yohei Hoshino
Evaluation of the accuracy of an auto-navigation system for a tractor in mountain areas. SII 2017: 133-138 - 2016
- [j3]Bing Bai, Byungjoon Yoo, Xiuquan Deng, Iljoo Kim, Dehua Gao:
Linking routines to the evolution of IT capability on agent-based modeling and simulation: a dynamic perspective. Comput. Math. Organ. Theory 22(2): 184-211 (2016) - 2015
- [j2]Dehua Gao, Xiuquan Deng, Qiuhong Zhao, Hong Zhou, Bing Bai:
Multi-Agent Based Simulation of Organizational Routines on Complex Networks. J. Artif. Soc. Soc. Simul. 18(3) (2015) - 2014
- [j1]Dehua Gao, Xiuquan Deng, Bing Bai:
The emergence of organizational routines from habitual behaviours of multiple actors: an agent-based simulation study. J. Simulation 8(3): 215-230 (2014) - 2013
- [c2]Dehua Gao, Xiuquan Deng, Bing Bai:
An Evolutionary Game Model of Organizational Routines on Complex Networks. ICSI (1) 2013: 548-555 - 2011
- [c1]Dehua Gao, Xiuquan Deng, Bing Bai:
Agent-based simulation for enterprise capabilities under complex dynamic environments. ICNC 2011: 1001-1005
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