Search Results - "Pak Kin Wong"
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1
Sparse Bayesian Extreme Learning Machine for Multi-classification
Published in IEEE transaction on neural networks and learning systems (01-04-2014)“…Extreme learning machine (ELM) has become a popular topic in machine learning in recent years. ELM is a new kind of single-hidden layer feedforward neural…”
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2
Microengineered platforms for cell mechanobiology
Published in Annual review of biomedical engineering (01-08-2009)“…Mechanical forces play important roles in the regulation of various biological processes at the molecular and cellular level, such as gene expression,…”
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3
Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine
Published in IEEE transactions on industrial electronics (1982) (01-04-2012)“…Hysteresis nonlinearity degrades the positioning accuracy of a piezostage and requires a suppression for precision micro-/nanopositioning applications. This…”
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4
A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns
Published in IEEE transactions on industrial electronics (1982) (01-08-2013)“…Simultaneous-fault diagnosis is a common problem in many applications and well-studied for time-independent patterns. However, most practical applications are…”
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5
Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm
Published in Proceedings of the National Academy of Sciences - PNAS (01-04-2008)“…A mixture of drugs is often more effective than using a single effector. However, it is extremely challenging to identify potent drug combinations by trial and…”
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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
Published in Vehicles (01-12-2023)“…Distributed-drive vehicles utilize independent drive motors on the four-wheel hubs. The working conditions of the wheel-hub motors are so harsh that the motors…”
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7
Encrypted image classification based on multilayer extreme learning machine
Published in Multidimensional systems and signal processing (01-07-2017)“…Nowadays, numerous corporations (such as Google, Baidu, etc.) require an efficient and effective search algorithm to crawl out the images with queried objects…”
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8
Analysis of Co-Relation Between Objective Measurement and Subjective Assessment for Dynamic Comfort of Vehicles
Published in International journal of automotive technology (01-12-2020)“…The assessment of vehicle dynamic comfort to human body vibration varies from person to person. Even though the dynamic comfort rating can be obtained by…”
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9
Approximate empirical kernel map-based iterative extreme learning machine for clustering
Published in Neural computing & applications (01-06-2020)“…Maximum margin clustering (MMC) is a recent approach of applying margin maximization in supervised learning to unsupervised learning, aiming to partition the…”
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10
In Situ Electrokinetic Enhancement for Self-Assembled-Monolayer-Based Electrochemical Biosensing
Published in Analytical chemistry (Washington) (20-03-2012)“…This study reports a multifunctional electrode approach which directly implements electrokinetic enhancement on a self-assembled-monolayer-based…”
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11
Electrokinetic Bioprocessor for Concentrating Cells and Molecules
Published in Analytical chemistry (Washington) (01-12-2004)“…Bioprocessors for concentrating bioparticles, such as cells and molecules, are commonly needed in bioanalysis systems. In this microfluidic processor, a global…”
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12
Single-Molecule Tracing on a Fluidic Microchip for Quantitative Detection of Low-Abundance Nucleic Acids
Published in Journal of the American Chemical Society (20-04-2005)“…Here, we report a method capable of quantitative detection of low-abundance DNA/RNA molecules by incorporating confocal fluorescence spectroscopy, molecular…”
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13
Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference
Published in Engineering applications of artificial intelligence (01-04-2006)“…Automotive engine power and torque are significantly affected with effective tune-up. Current practice of engine tune-up relies on the experience of the…”
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14
Fault diagnosis of rotating machinery based on multiple probabilistic classifiers
Published in Mechanical systems and signal processing (01-08-2018)“…•The framework is trained only with single-faults patterns to diagnose simultaneous-faults.•Probabilistic classifier method offers the probabilities of all…”
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15
Observer-based robust gain-scheduled control for semi-active air suspension systems subject to uncertainties and external disturbance
Published in Mechanical systems and signal processing (01-07-2022)“…In this paper, an observer-based robust gain-scheduled control scheme is designed for a semi-active air suspension (SAAS) system subject to uncertainties and…”
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16
A novel closed-loop current control unit for decoupling vibration control of semi-active electrically interconnected suspension
Published in Mechanical systems and signal processing (15-04-2024)“…Electrically interconnected suspension (EIS) has recently emerged for vehicle vibration control. It utilises direct current (DC) motors and electrical networks…”
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17
Integrated vehicle dynamics management for distributed‐drive electric vehicles with active front steering using adaptive neural approaches against unknown nonlinearity
Published in International journal of robust and nonlinear control (25-09-2019)“…Summary This paper proposes a new integrated vehicle dynamics management for enhancing the yaw stability and wheel slip regulation of the distributed‐drive…”
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18
Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search
Published in Renewable energy (01-02-2015)“…This study presents the optimization of biodiesel engine performance that can achieve the goal of fewer emissions, low fuel cost and wide engine operating…”
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19
Diffusion-reaction kinetics of microfluidic amperometric biosensors
Published in Lab on a chip (09-10-2018)“…Amperometric biosensors are widely applied for rapid biomarker detection in physiological and environmental samples. The dynamics and linearity of the current…”
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20
An Effective Fault Feature Extraction Method for Gas Turbine Generator System Diagnosis
Published in Shock and vibration (01-01-2016)“…Fault diagnosis is very important to maintain the operation of a gas turbine generator system (GTGS) in power plants, where any abnormal situations will…”
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