Bin He

According to our database, Bin He authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Visual recognition and location algorithm based on optimized YOLOv3 detector and RGB depth camera.

Bin He, Shusheng Qian, Yongchao Niu

Vis. Comput., March, 2024

2023

A closed-loop digital twin modeling method integrated with carbon footprint analysis.

Bin He, Hangyu Mao, Tengyu Li, Jing-Long Xiao

Comput. Ind. Eng., August, 2023

Integrate design structure matrix with carbon footprint for product low carbon design.

Bin He, Weijia Wang, Xuanren Zhu, Shusheng Qian

Adv. Eng. Informatics, April, 2023

Directed acyclic graphs-based diagnosis approach using small data sets for sustainability.

Bin He, Weihao Chen, Fangfang Li, Xin Yuan

Comput. Ind. Eng., February, 2023

Product Multibody Dynamics Analysis for Low-Carbon Footprint.

Bin He, Jiachi Wu, Xuanren Zhu, Dong Zhang, Jintao Cao

J. Comput. Inf. Sci. Eng., 2023

Potential Energy Recovery of Robotic Extractors for Low Carbon Footprint.

Chenyue Zhang, Bin He, Guiqin Li

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Intelligent Identification Approach of Vibratory Roller Working Stages Based on Multi-dimensional Convolutional Neural Network.

Haoju Song, Guiqin Li, Zijie He, Xin Xiong, Bin He, Peter Mitrouchev

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Research on Energy Consumption Prediction of Pump Truck Based on LSTM-Transformer.

Kuiliang Liu, Guiqin Li, Yicong Shen, Haoju Song, Xin Xiong, Bin He

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Data Acquisition System for Energy Consumption Characteristics of Vibratory Rollers.

Yulin Jiang, Guiqin Li, Xin Xiong, Bin He

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

2022

A Convolutional Neural Network-Based Recognition Method of Gear Performance Degradation Mode.

Bin He, Fuze Xu, Dong Zhang, Weijia Wang

J. Comput. Inf. Sci. Eng., 2022

Deep Belief Network-based Prediction for Gear Noise.

Long Liu, Bin He, Dong Zhang, Hangyu Mao

Proceedings of the 8th International Conference on Mechatronics and Robotics Engineering, 2022

Digital Twin-Driven Design for Product Control System.

Bin He, Tengyu Li, Jing-Long Xiao

Proceedings of the Digital Twins for Digital Transformation: Innovation in Industry, 2022

2021

Digital Twin-Driven Controller Tuning Method for Dynamics.

Bin He, Tengyu Li, Jing-Long Xiao

J. Comput. Inf. Sci. Eng., February, 2021

Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review.

Bin He, Long Liu, Dong Zhang

J. Comput. Inf. Sci. Eng., 2021

Introduction to the focused section on new trends in modelling and simulation for intelligent robotics.

Jin Wang, Silu Chen, Kun Bai, Bin He, Howard Li, Jinchuan Zheng

Int. J. Intell. Robotics Appl., 2021

2020

Boundary Encryption-Based Monte Carlo Learning Method for Workspace Modeling.

Bin He, Xuanren Zhu, Dong Zhang

J. Comput. Inf. Sci. Eng., 2020

Product Sustainable Design: A Review From the Environmental, Economic, and Social Aspects.

Bin He, Fangfang Li, Xiaoyang Cao, Tengyu Li

J. Comput. Inf. Sci. Eng., 2020

2015

Integrating engineering design and analysis using a parameter constraint graph approach.

Bin He, Shuangchao Hou, Wei Song

Simul., 2015

Computational Conceptual Design Using Space Matrix.

Bin He, Wei Song, Yangang Wang

J. Comput. Inf. Sci. Eng., 2015

2014

Intelligent Engineering Design of Complex City: a Co-evolution Model.

Bin He, Egon Ostrosi, Fabien Pfaender, Alain-Jérôme Fougères, Denis Choulier, Bruno Bachimont, MonZen Tzen

Proceedings of the Moving Integrated Product Development to Service Clouds in the Global Economy, 2014