Physics-informed neutral network with physically consistent and residual learning for excavator precision operation control
C Feng, J Wang, Y Shen, Q Wang, Y Xiong… - Applied Soft …, 2024 - Elsevier
The data-driven methodologies can establish accurate Inverse Dynamics Model (IDM) of the
excavator thus improving control precisions. However, the inherent black-box nature of …
excavator thus improving control precisions. However, the inherent black-box nature of …
Empirical Evaluation of Machine Learning Models for Fuel Consumption, Driver Identification, and Behavior Prediction
J Maktoubian, SN Tran, A Shillabeer… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Drivers can be identified through patterns in their routine driving behaviours, as observed by
analysing the timing and sequence of various manoeuvres. In contemporary mobility …
analysing the timing and sequence of various manoeuvres. In contemporary mobility …
Driving Behavior Safety Assessment in Edge Computing Using Multitask Discriminative TS Fuzzy Model
Y Gu, Z Chen, L Wang, J Shen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Driving behavior safety analysis in edge computing involves the real-time collection and
processing of vehicle driving data. Fuzzy models have advantages in analyzing driving …
processing of vehicle driving data. Fuzzy models have advantages in analyzing driving …