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Sparse Bayesian Extreme Learning Machine for Multi-classification

IEEE transaction on neural networks and learning systems, 2014-04, Vol.25 (4), p.836-843

2014

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IEEE_Xplore

Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine

IEEE transactions on industrial electronics (1982), 2012-04, Vol.59 (4), p.1988-2001

2012

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IEEE_Xplore

Microengineered platforms for cell mechanobiology

Annual review of biomedical engineering, 2009-08, Vol.11 (1), p.203-233

2009

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A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns

IEEE transactions on industrial electronics (1982), 2013-08, Vol.60 (8), p.3372-3385

2013

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IEEE_Xplore

Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm

Proceedings of the National Academy of Sciences - PNAS, 2008-04, Vol.105 (13), p.5105-5110

2008

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Back Propagation Neural Network-Based Fault Diagnosis and Fault Tolerant Control of Distributed Drive Electric Vehicles Based on Sliding Mode Control-Based Direct Yaw Moment Control

Vehicles, 2023-12, Vol.6 (1), p.93-119

2023

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A Novel Electric Motor Fault Diagnosis by Using a Convolutional Neural Network, Normalized Thermal Images and Few-Shot Learning

Electronics (Basel), 2024-01, Vol.13 (1), p.108

2024

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Encrypted image classification based on multilayer extreme learning machine

Multidimensional systems and signal processing, 2017-07, Vol.28 (3), p.851-865

2017

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An Experimental Study of the Influence of Hand-Arm Posture and Grip Force on the Mechanical Impedance of Hand-Arm System

Shock and vibration, 2021, Vol.2021, p.1-11

2021

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Analysis of Co-Relation Between Objective Measurement and Subjective Assessment for Dynamic Comfort of Vehicles

International Journal of Automotive Technology, 2020, 21(6), 118, pp.1553-1567

2020

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Fault diagnosis of rotating machinery based on multiple probabilistic classifiers

Mechanical systems and signal processing, 2018-08, Vol.108, p.99-114

2018

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Approximate empirical kernel map-based iterative extreme learning machine for clustering

Neural computing & applications, 2020-06, Vol.32 (12), p.8031-8046

2020

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Integrated vehicle dynamics management for distributed‐drive electric vehicles with active front steering using adaptive neural approaches against unknown nonlinearity

International journal of robust and nonlinear control, 2019-09, Vol.29 (14), p.4888-4908

2019

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Diffusion-reaction kinetics of microfluidic amperometric biosensors

Lab on a chip, 2018-10, Vol.18 (20), p.3086-3089

2018

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Electrokinetic Bioprocessor for Concentrating Cells and Molecules

Analytical chemistry (Washington), 2004-12, Vol.76 (23), p.6908-6914

2004

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Real-time fault diagnosis for gas turbine generator systems using extreme learning machine

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.249-257

2014

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In Situ Electrokinetic Enhancement for Self-Assembled-Monolayer-Based Electrochemical Biosensing

Analytical chemistry (Washington), 2012-03, Vol.84 (6), p.2702-2707

2012

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Adaptive air-fuel ratio control of dual-injection engines under biofuel blends using extreme learning machine

Energy conversion and management, 2018-06, Vol.165, p.66-75

2018

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Modeling of RFID-Enabled Real-Time Manufacturing Execution System in Mixed-Model Assembly Lines

Mathematical problems in engineering, 2015-01, Vol.2015, p.1-15

2015

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Single-Molecule Tracing on a Fluidic Microchip for Quantitative Detection of Low-Abundance Nucleic Acids

Journal of the American Chemical Society, 2005-04, Vol.127 (15), p.5354-5359

2005

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A novel closed-loop current control unit for decoupling vibration control of semi-active electrically interconnected suspension

Mechanical systems and signal processing, 2024-04, Vol.212, p.111308, Article 111308

2024

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Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference

Engineering applications of artificial intelligence, 2006-04, Vol.19 (3), p.277-287

2006

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Observer-based robust gain-scheduled control for semi-active air suspension systems subject to uncertainties and external disturbance

Mechanical systems and signal processing, 2022-07, Vol.173, p.109045, Article 109045

2022

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Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization

Energy conversion and management, 2017-09, Vol.148, p.1170-1178

2017

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Empirical kernel map-based multilayer extreme learning machines for representation learning

Neurocomputing (Amsterdam), 2018-10, Vol.310, p.265-276

2018

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Sparse Bayesian Extreme Learning Machine for Multi-classification

Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine

Microengineered platforms for cell mechanobiology

A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns

Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm

Back Propagation Neural Network-Based Fault Diagnosis and Fault Tolerant Control of Distributed Drive Electric Vehicles Based on Sliding Mode Control-Based Direct Yaw Moment Control

A Novel Electric Motor Fault Diagnosis by Using a Convolutional Neural Network, Normalized Thermal Images and Few-Shot Learning

Encrypted image classification based on multilayer extreme learning machine

An Experimental Study of the Influence of Hand-Arm Posture and Grip Force on the Mechanical Impedance of Hand-Arm System

Analysis of Co-Relation Between Objective Measurement and Subjective Assessment for Dynamic Comfort of Vehicles

Fault diagnosis of rotating machinery based on multiple probabilistic classifiers

Approximate empirical kernel map-based iterative extreme learning machine for clustering

Integrated vehicle dynamics management for distributed‐drive electric vehicles with active front steering using adaptive neural approaches against unknown nonlinearity

Diffusion-reaction kinetics of microfluidic amperometric biosensors

Electrokinetic Bioprocessor for Concentrating Cells and Molecules

Real-time fault diagnosis for gas turbine generator systems using extreme learning machine

In Situ Electrokinetic Enhancement for Self-Assembled-Monolayer-Based Electrochemical Biosensing

Adaptive air-fuel ratio control of dual-injection engines under biofuel blends using extreme learning machine

Modeling of RFID-Enabled Real-Time Manufacturing Execution System in Mixed-Model Assembly Lines

Single-Molecule Tracing on a Fluidic Microchip for Quantitative Detection of Low-Abundance Nucleic Acids

A novel closed-loop current control unit for decoupling vibration control of semi-active electrically interconnected suspension

Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference

Observer-based robust gain-scheduled control for semi-active air suspension systems subject to uncertainties and external disturbance

Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization

Empirical kernel map-based multilayer extreme learning machines for representation learning

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