Search results: Sage Journals

Retricted accessResearch articleFirst published November, 2022

Non-parametric empirical machine learning for short-term and long-term structural health monitoring

Alireza Entezami, Hashem Shariatmadar, Carlo De Michele

Structural Health Monitoring

Available accessResearch articleFirst published 2026

An empirical mode decomposition-driven machine learning framework for vibration-based defect diagnosis of bevel gearboxes

Sheo Kumar, Praveen Kumar Agarwal

Noise & Vibration Worldwide

Retricted accessResearch articleFirst published November, 2013

Tools for machine-learning-based empirical autotuning and specialization

Nicholas Chaimov, Scott Biersdorff, Allen D Malony

The International Journal of High Performance Computing Applications

Available accessResearch articleFirst published June 21, 2021

Energy time series forecasting-analytical and empirical assessment of conventional and machine learning models

Hala Hamdoun, Alaa Sagheer, Hassan Youness

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open accessResearch articleFirst published 2026

Towards personalised empirical antibiotic therapy in febrile neutropenia: a theoretical model based on machine learning and prior colonisation with multidrug-resistant gram-negative bacilli – a retrospective proof-of-concept cohort study

Antonio Gallardo-Pizarro, Christian Teijón-Lumbreras, Tommaso Francesco Aiello [...]

Therapeutic Advances in Infectious Disease

Retricted accessResearch articleFirst published August, 2025

The Use of Machine Learning Methods in Political Science: An In-Depth Literature Review

Jef de Slegte, Filip Van Droogenbroeck, Bram Spruyt [...]

Political Studies Review

Available accessResearch articleFirst published June 9, 2022

Classification of imbalanced medical data: An empirical study of machine learning approaches

Shikha Mundra, Shounak Vijay, Ankit Mundra [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Retricted accessResearch articleFirst published October, 2019

Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine

Xian-Bo Wang, Pu Miao, Kun Zhang [...]

Transactions of the Institute of Measurement and Control

Available accessResearch articleFirst published February, 2022

Empirical study on understanding online buying behaviour through machine learning algorithms

Sayantan Mukherjee, A. Prince Jason, Angeline Selvakumar

Model Assisted Statistics and Applications

Open accessResearch articleFirst published October, 2016

Railway rolling bearing fault diagnosis based on multi-scale intrinsic mode function permutation entropy and extreme learning machine classifier

Dechen Yao, Jianwei Yang, Yongliang Bai [...]

Advances in Mechanical Engineering

Retricted accessResearch articleFirst published November, 2022

Non-parametric empirical machine learning for short-term and long-term structural health monitoring

Alireza Entezami, Hashem Shariatmadar, Carlo De Michele

Structural Health Monitoring

Available accessResearch articleFirst published 2026

An empirical mode decomposition-driven machine learning framework for vibration-based defect diagnosis of bevel gearboxes

Sheo Kumar, Praveen Kumar Agarwal

Noise & Vibration Worldwide

Retricted accessResearch articleFirst published November, 2013

Tools for machine-learning-based empirical autotuning and specialization

Nicholas Chaimov, Scott Biersdorff, Allen D Malony

The International Journal of High Performance Computing Applications

Available accessResearch articleFirst published June 21, 2021

Energy time series forecasting-analytical and empirical assessment of conventional and machine learning models

Hala Hamdoun, Alaa Sagheer, Hassan Youness

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open accessResearch articleFirst published 2026

Towards personalised empirical antibiotic therapy in febrile neutropenia: a theoretical model based on machine learning and prior colonisation with multidrug-resistant gram-negative bacilli – a retrospective proof-of-concept cohort study

Antonio Gallardo-Pizarro, Christian Teijón-Lumbreras, Tommaso Francesco Aiello [...]

Therapeutic Advances in Infectious Disease

Retricted accessResearch articleFirst published August, 2025

The Use of Machine Learning Methods in Political Science: An In-Depth Literature Review

Jef de Slegte, Filip Van Droogenbroeck, Bram Spruyt [...]

Political Studies Review

Available accessResearch articleFirst published June 9, 2022

Classification of imbalanced medical data: An empirical study of machine learning approaches

Shikha Mundra, Shounak Vijay, Ankit Mundra [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Retricted accessResearch articleFirst published October, 2019

Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine

Xian-Bo Wang, Pu Miao, Kun Zhang [...]

Transactions of the Institute of Measurement and Control

Available accessResearch articleFirst published February, 2022

Empirical study on understanding online buying behaviour through machine learning algorithms

Sayantan Mukherjee, A. Prince Jason, Angeline Selvakumar

Model Assisted Statistics and Applications

Open accessResearch articleFirst published October, 2016

Railway rolling bearing fault diagnosis based on multi-scale intrinsic mode function permutation entropy and extreme learning machine classifier

Dechen Yao, Jianwei Yang, Yongliang Bai [...]

Advances in Mechanical Engineering