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Bin He 0006
Person information
- affiliation: Shanghai University, Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, China
Other persons with the same name
- Bin He — disambiguation page
- Bin He 0001 — IBM Almaden Research Center, San Jose, CA, USA (and 1 more)
- Bin He 0002
— University of Minnesota, Department of Biomedical Engineering / Institute for Engineering in Medicine, Minneapolis, MN, USA (and 1 more)
- Bin He 0003
- Bin He 0004 — XPRT Solutions, Inc., Eatontown, NJ, USA (and 1 more)
- Bin He 0005 — Harbin Institute of Technology, Research Center of Language Technology, School of Computer Science and Technology, China
- Bin He 0007
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2020 – today
- 2024
- [j13]Bin He
Visual recognition and location algorithm based on optimized YOLOv3 detector and RGB depth camera. Vis. Comput. 40(3): 1965-1981 (2024) - 2023
- [j12]Bin He
Integrate design structure matrix with carbon footprint for product low carbon design. Adv. Eng. Informatics 56: 102021 (2023) - [j11]Bin He
Directed acyclic graphs-based diagnosis approach using small data sets for sustainability. Comput. Ind. Eng. 176: 108944 (2023) - [j10]Bin He
A closed-loop digital twin modeling method integrated with carbon footprint analysis. Comput. Ind. Eng. 182: 109389 (2023) - [j9]Bin He
Product Multibody Dynamics Analysis for Low-Carbon Footprint. J. Comput. Inf. Sci. Eng. 23(2) (2023) - [c6]Yulin Jiang, Guiqin Li, Xin Xiong, Bin He:
Data Acquisition System for Energy Consumption Characteristics of Vibratory Rollers. ICIRA (5) 2023: 26-36 - [c5]Kuiliang Liu, Guiqin Li, Yicong Shen, Haoju Song, Xin Xiong, Bin He:
Research on Energy Consumption Prediction of Pump Truck Based on LSTM-Transformer. ICIRA (8) 2023: 423-433 - [c4]Haoju Song
Intelligent Identification Approach of Vibratory Roller Working Stages Based on Multi-dimensional Convolutional Neural Network. ICIRA (8) 2023: 463-475 - [c3]Chenyue Zhang, Bin He, Guiqin Li:
Potential Energy Recovery of Robotic Extractors for Low Carbon Footprint. ICIRA (8) 2023: 533-542 - 2022
- [j8]Bin He
A Convolutional Neural Network-Based Recognition Method of Gear Performance Degradation Mode. J. Comput. Inf. Sci. Eng. 22(5) (2022) - [c2]Long Liu, Bin He
Deep Belief Network-based Prediction for Gear Noise. ICMRE 2022: 50-54 - [p1]Bin He
Digital Twin-Driven Design for Product Control System. Digital Twins for Digital Transformation 2022: 41-65 - 2021
- [j7]Jin Wang, Silu Chen, Kun Bai, Bin He
Introduction to the focused section on new trends in modelling and simulation for intelligent robotics. Int. J. Intell. Robotics Appl. 5(4): 425-428 (2021) - [j6]Bin He
Digital Twin-Driven Controller Tuning Method for Dynamics. J. Comput. Inf. Sci. Eng. 21(1) (2021) - [j5]Bin He
Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review. J. Comput. Inf. Sci. Eng. 21(3) (2021) - 2020
- [j4]Bin He
Boundary Encryption-Based Monte Carlo Learning Method for Workspace Modeling. J. Comput. Inf. Sci. Eng. 20(3) (2020) - [j3]Bin He
Product Sustainable Design: A Review From the Environmental, Economic, and Social Aspects. J. Comput. Inf. Sci. Eng. 20(4) (2020)
2010 – 2019
- 2015
- [j2]Bin He
Computational Conceptual Design Using Space Matrix. J. Comput. Inf. Sci. Eng. 15(1) (2015) - [j1]Bin He
Integrating engineering design and analysis using a parameter constraint graph approach. Simul. 91(7): 625-647 (2015) - 2014
- [c1]Bin He
Intelligent Engineering Design of Complex City: a Co-evolution Model. CE 2014: 434-443
Coauthor Index
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