A data-driven design for fault detection of wind turbines using random forests and XGboost

D Zhang, L Qian, B Mao, C Huang, B Huang… - Ieee Access, 2018 - ieeexplore.ieee.org
Wind energy has seen great development during the past decade. However, wind turbine
availability and reliability, especially for offshore sites, still need to be improved, which …

Recent developments in terrain identification, classification, parameter estimation for the navigation of autonomous robots

MGH Nampoothiri, B Vinayakumar, Y Sunny… - SN Applied …, 2021 - Springer
The work presents a review on ongoing researches in terrain-related challenges influencing
the navigation of Autonomous Robots, specifically Unmanned Ground ones. The paper aims …

A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing

R Bokade, A Navato, R Ouyang, X **, CA Chou… - Expert Systems with …, 2021 - Elsevier
Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

Coupled fractional-order sliding mode control and obstacle avoidance of a four-wheeled steerable mobile robot

Y ** method based on the AdaBoost algorithm and results fusion for enhancing classification performance
W Shan, D Li, S Liu, M Song, S ** method can improve data separability, enhance data representation
ability, and reduce data processing complexity. However, on the one hand, the existing …

Highlight every step: Knowledge distillation via collaborative teaching

H Zhao, X Sun, J Dong, C Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
High storage and computational costs obstruct deep neural networks to be deployed on
resource-constrained devices. Knowledge distillation (KD) aims to train a compact student …

Dynamic incremental ensemble fuzzy classifier for data streams in green internet of things

J Jiang, F Liu, WWY Ng, Q Tang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Due to the fast, dynamic, and continuous arrival of data streams in the green Internet of
Things (IoT) environment, the probability distribution of data streams changes over time. In …

On the role of feature and signal selection for terrain learning in planetary exploration robots

A Ugenti, F Vulpi, R Domínguez, F Cordes… - Journal of Field …, 2022 - Wiley Online Library
Increasing the terrain awareness of planetary exploration rovers is one key technology for
future space robotics to successfully accomplish long‐distance and long‐duration missions …