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Chang Luo
Institution:
Nanjing Audit University
Observed institutions:
Chongqing University,
Nanjing Audit University,
Air Force Engineering University,
State Key Laboratory of Mechanical Transmission,
PLA National Defence University
ORCID:
0000-0003-4177-0434
Observed ORCID:
0000-0003-4177-0434
OpenAlex ID:
A5065977211
A novel electro-hydraulic compound braking system coordinated control strategy for a four-wheel-drive pure electric vehicle driven by dual motors
2021
·
Qingsong Tang
, Yang Yang
, et al.
·
Energy
·
79
Energy recovery strategy optimization of dual-motor drive electric vehicle based on braking safety and efficient recovery
2022
·
Qiang He
, Yang Yang
, et al.
·
Energy
·
78
Transferring Pre-Trained Deep CNNs for Remote Scene Classification with General Features Learned from Linear PCA Network
2017
·
Jie Wang
, Chang Luo
, et al.
·
Remote Sensing
·
65
PDF
A novel softplus linear unit for deep convolutional neural networks
2017
·
Huizhen Zhao
, Fuxian Liu
, et al.
·
Applied Intelligence
·
53
Regenerative Braking Control Strategy of Electric-Hydraulic Hybrid (EHH) Vehicle
2017
·
Yang Yang
, Chang Luo
, et al.
·
Energies
·
23
PDF
Integrated Guidance and Control Based Air-to-Air Autonomous Attack Occupation of UCAV
2016
·
Chang Luo
, Jie Wang
, et al.
·
Mathematical Problems in Engineering
·
11
PDF
Energy management strategy of four-wheel drive SUV electric-hydraulic hybrid (EHH) power system based on optimal instantaneous efficiency
2022
·
Junzhang Liao
, Yang Yang
, et al.
·
Sustainable Energy Technologies and Assessments
·
10
Multi-objective optimization of design and control parameters for hybrid electric-hydraulic propulsion systems considering the effects of battery degradation, mass increase, and energy loss
2024
·
Chang Luo
, Yang Yang
, et al.
·
Energy Conversion and Management
·
9
Research on Feature Selection/Attribute Reduction Method Based on Rough Set Theory
2019
·
Shi Qiang Wang
, Cai Yun Gao
, et al.
·
Procedia Computer Science
·
9
PDF
Design and performance analysis on a new electro-hydraulic hybrid transmission system
2017
·
N.A. Yang
, Chang Luo
, et al.
·
International Journal of Electric and Hybrid Vehicles
·
7
Do deep convolutional neural networks really need to be deep when applied for remote scene classification?
2017
·
Chang Luo
, Jie Wang
, et al.
·
Journal of Applied Remote Sensing
·
6
Fine-grained representation learning in convolutional autoencoders
2016
·
Chang Luo
, Jie Wang
·
Journal of Electronic Imaging
·
3
The spatial spillover effect of China's outgoing audit of natural resource assets on industrial pollution: Evidence from a spatial difference-in-differences method
2025
·
Shasha Huang
, Chang Luo
, et al.
·
Sustainable Futures
·
2
Utilization of Deep Convolutional Neural Networks for Remote Sensing Scenes Classification
2019
·
Chang Luo
, Hanqiao Huang
, et al.
·
IntechOpen eBooks
·
1
PDF
Design and performance analysis on a new electro-hydraulic hybrid transmission system
2017
·
Pengxi Li
, Yang Yang
, et al.
·
International Journal of Electric and Hybrid Vehicles
·
1
Deep Feature Autoextraction Method for Intrapulse Data of Radar Emitter Signal
2021
·
Shiqiang Wang
, Caiyun Gao
, et al.
·
Mobile Information Systems
PDF
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Works count:
16
Citation count:
357
H-index:
9
I10-index:
7
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