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Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines

Li, Bing / Xue, Shao-Kai / Fu, Yu-Hui et al. | Elsevier | 2024

the loss of some critical information. To tackle this issue, a novel weighted kernel adaption extreme learning machine is proposed for cross ...

Keywords: Transfer learning , Kernel extreme learning machine

Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics

Hussain, Fizza / Ali, Yasir / Li, Yuefeng et al. | Elsevier | 2024

• Hybrid models of machine learning and extreme value theory models for estimating pedestrian crashes ...

Keywords: Extreme value theory , Machine learning

The Jump into the Void

Tenetz, Antti | Springer Verlag | 2024

and space missions in the framework of analog astronaut training. Some to be mentioned; machine learning, 3D scanning and using 3d modeling ...

Keywords: AI machine learning , Creative use of machine learning , Extreme environments Callio Lab

Reduced-order prediction of unsteady spatial-temporal aerodynamics in a turbine cascade

Qiao, Tianyang / Hu, Chenxing / Yang, Ce | Elsevier | 2024

Keywords: Machine Learning , Extreme Gradient boosting

Condition assessment of high-speed railway track structure based on sparse Bayesian extreme learning machine and Bayesian hypothesis testing

Wang, Senrong / Gao, Jingze / Lin, Chao et al. | Taylor & Francis Verlag | 2023

probability prediction model of the structural static responses under temperature loads based on sparse Bayesian extreme learning machine (SBELM) is ...

Keywords: sparse bayesian learning , extreme learning machine

Gully erosion susceptibility mapping and prioritization of gully-dominant sub-watersheds using machine learning algorithms: Evidence from the Silabati River (tropical river, India)

Hasanuzzaman, Md / Pratim Adhikary, Partha / Kumar Shit, Pravat | Elsevier | 2023

threats to agriculture, human safety, habitats, infrastructure, and soil integrity. Selecting the right machine learning model is vital for ...

Keywords: Extreme Gradient Boost (XGBoost)

A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

Khan, Waqar Ahmed / Chung, Sai-Ho / Eltoukhy, Abdelrahman E.E. et al. | Elsevier | 2023

successful air traffic management and control. We propose a novel parallel-series model and novel adaptive bidirectional extreme learning machine (AB ...

Keywords: Extreme learning machine , Imbalance learning

Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method

Li, Yuanping / Ma, Changxi | ASCE | 2023

secondary decomposition integration method that combines empirical modal decomposition (EMD), sample entropy (SE), and kernel extreme learning ...

Keywords: Kernel extreme learning machine (KELM)

An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023

Keywords: Extreme gradient boosting , Machine learning

Second-hand vessel valuation: an extreme gradient boosting approach

Adland, Roar / Jia, Haiying / Harvei, Hans Christian Olsen et al. | Taylor & Francis Verlag | 2023

We investigate the efficacy of the Extreme Gradient boosting (XGBoost) machine learning technique in

...

Keywords: extreme gradient boosting (XGBoost)

Power Quality Data Mining Using Hybrid Feature Extraction Technique

Sivaramakrishnan, Vidhya / Mahadevan, Balaji / Vijayarajan, Kamaraj | Springer Verlag | 2023

performed using Extreme Learning Machine (ELM). The effectiveness of the proposed approach is tested using wide spectrum of power quality ...

Keywords: Extreme learning machine

Effect of Construction Work Zone on Rear-End Conflicts by Vehicle Type under Heterogeneous Traffic Conditions

Bidkar, Omkar / Arkatkar, Shriniwas / Joshi, Gaurang et al. | ASCE | 2023

extracted using a newly developed machine learning–based semiautomated trajectory extractor tool. The derived trajectory data from both sections ...

Keywords: Generalized extreme value

Soft one-class extreme learning machine for turboshaft engine fault detection

Zhao, Yong-Ping / Huang, Gong | SAGE Publications | 2022

One-class extreme learning machine (OC-ELM) is a very common one-class classification algorithm. In the process of constructing the OC-ELM ...

Keywords: machine learning , one-class extreme learning machine

Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation

Grigorev, Artur / Mihaita, Adriana-Simona / Lee, Seunghyeon et al. | Elsevier | 2022

novel bi-level machine learning framework enhanced with outlier removal and intra–extra joint optimisation for predicting the incident duration ...

Keywords: Machine learning , Extreme-boosted decision-trees

An assessment of machine learning and data balancing techniques for evaluating downgrade truck crash severity prediction in Wyoming

Free access

Vincent Michael Ampadu / Muhammad Tahmidul Haq / Khaled Ksaibati | DOAJ | 2022

This study involved the investigation of various machine learning methods, including four classification tree-based ML models, namely the ...

Keywords: extreme gradient boosting tree

Online Interval Type-2 Fuzzy Extreme Learning Machine Applied to 3D Path Following for Remotely Operated Underwater Vehicles

Free access

Rubio-Solis, Adrian / Martinez Hernandez, Uriel / Nava-Balanzar, Luciano et al. | BASE | 2022

location for collection by a vessel. In this paper, an Online Interval Type-2 Fuzzy Extreme Learning Machine (OIT2-FELM) is suggested to achieve a ...

Keywords: Extreme Learning Machine , Online interval type-2 fuzzy learning

Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method

Mahmoodi, Kumars / Nowruzi, Hashem | Taylor & Francis Verlag | 2022

onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme Learning Machine (NOF-ELM) method is proposed to predict the ...

Keywords: extreme waves , extreme learning machine

Vulnerability-based regionalization for disaster management considering storms and earthquakes

Chen, Yenming J. / Chang, Kuo-Hao / Sheu, Jiuh-Biing et al. | Elsevier | 2022

machine learning method to replace the frequency-style vulnerability with an intelligent measure, which will enhance the assessment by predicting ...

Keywords: Extreme rainfall

Short-term prediction of airway congestion index using machine learning methods

Yang, Zhao / Tang, Rong / Zeng, Weili et al. | Elsevier | 2021

Keywords: Extreme gradient boosting

Identifying factors associated with roadside work zone collisions using machine learning techniques

Nasrollahzadeh, Amir A. / Sofi, Ardalan R. / Ravani, Bahram | Elsevier | 2021

Keywords: Extreme gradient boosting