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Condition monitoring for fault diagnosis of railway wheels using recurrence plots and convolutional neural networks (RP-CNN) models

Measurement and control (London), 2024-03, Vol.57 (3), p.330-338

2024

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Task failure prediction for wafer-handling robotic arms by using various machine learning algorithms

Measurement and control (London), 2021-05, Vol.54 (5-6), p.701-710

2021

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Application of Recurrence Plots and VGG Deep Learning Model to the Study of Condition Monitoring of Robotic Grinding

International journal of precision engineering and manufacturing, 2023-09, Vol.24 (9), p.1675-1683

2023

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Lifetime Prognosis of Lithium-Ion Batteries Through Novel Accelerated Degradation Measurements and a Combined Gamma Process and Monte Carlo Method

Applied sciences, 2019-02, Vol.9 (3), p.559

2019

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Electrochemical detection combined with artificial neural networks for the simultaneous intelligent sensing of caffeine and chlorogenic acid

Electrochimica acta, 2023-09, Vol.463, p.142820, Article 142820

2023

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Design optimization of laser-induced microbridges for low resistance interline connections in ICs

Microelectronic engineering, 2013-03, Vol.103, p.70-75

2013

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Linear energy control of laser drilling and its application in the repair of TFT-LCD bright pixels

Microsystem technologies : sensors, actuators, systems integration, 2012-11, Vol.18 (11), p.1909-1915

2012

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Experimental investigation of the optimal laser-induced microbridges

Precision engineering, 2010-07, Vol.34 (3), p.578-585

2010

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Optical micro-paddle beam deflection measurement for electrostatic mechanical testing of nano-scale thin film application to MEMS

Microsystem technologies, 2010-07, Vol.16 (7), p.1131-1137

2010

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A patterning technique of lead zirconate titanate thin film by ultraviolet-light

Microsystem technologies, 2013-06, Vol.19 (6), p.853-859

2013

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Predicting the degradation of li-ion battery using advanced machine learning techniques

2017 12th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2017, p.258-262

2017

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IEEE_Xplore

The Prediction of Positioning shift for a Robot Arm Using Machine Learning Techniques

2019 14th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2019, p.58-61

2019

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IEEE_Xplore

Lifetime prediction of the epoxy resin adhesive under the optical performance degradation process

2015 10th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2015, p.213-216

2015

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A Novel Disposable Electrochemical Sensor Packaging with Application for the Detection of Uric Acid

2018 13th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2018, p.165-168

2018

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IEEE_Xplore

Predicting the lifetimes of LiFePO4 batteries on the basis of the gamma process through accelerated degradation measurements

2016 IEEE International Conference on Prognostics and Health Management (ICPHM), 2016, p.1-6

2016

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Development of a leakage-free disposable package for biosensors immersed in the chemical solutions

2014 9th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2014, p.488-490

2014

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IEEE_Xplore

Accelerated Degradation Assessment of 18650 Lithium-Ion Batteries

2012 International Symposium on Computer, Consumer and Control, 2012, p.930-933

2012

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IEEE_Xplore

The solder joint reliability assessment of a wafer level CSP package

2011 6th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2011, p.370-372

2011

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IEEE_Xplore

Temperature dependence of Ron, sp in silicon carbide and GaAs Schottky diode

2002

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Reliability Tests of a RFID-based Lock for Power Meter Applications

2012 International Symposium on Computer, Consumer and Control, 2012, p.945-948

2012

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IEEE_Xplore

Linear energy control of laser drilling and its application in the repair of TFT-LCD bright pixels: Special Issue on Design, Test, Integration and Packaging of MEMS/MOEMS, 2011

Microsystem technologies : sensors, actuators, systems integration, 2012, Vol.18 (11), p.1909-1915

2012

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The investigation of modified Norris-Landzberg acceleration models for reliability assessment of Ball Grid Array packages

2010 5th International Microsystems Packaging Assembly and Circuits Technology Conference, 2010, p.1-4

2010

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IEEE_Xplore

Effect of Strain Rates on the Mechanical Behavior of Cu Thin Films of Various Thicknesses

Applied Mechanics and Materials, 2013-01, Vol.284-287, p.94-97

2013

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A high performance radiation-hard field programmable analog array

International Symposium on Signals, Circuits and Systems. Proceedings, SCS 2003. (Cat. No.03EX720), 2004, p.522-527

2004

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Microbridge formation for low resistance interline connection using pulsed laser techniques

Chung, Kuan-Jung

2005

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Condition monitoring for fault diagnosis of railway wheels using recurrence plots and convolutional neural networks (RP-CNN) models

Task failure prediction for wafer-handling robotic arms by using various machine learning algorithms

Application of Recurrence Plots and VGG Deep Learning Model to the Study of Condition Monitoring of Robotic Grinding

Lifetime Prognosis of Lithium-Ion Batteries Through Novel Accelerated Degradation Measurements and a Combined Gamma Process and Monte Carlo Method

Electrochemical detection combined with artificial neural networks for the simultaneous intelligent sensing of caffeine and chlorogenic acid

Design optimization of laser-induced microbridges for low resistance interline connections in ICs

Linear energy control of laser drilling and its application in the repair of TFT-LCD bright pixels

Experimental investigation of the optimal laser-induced microbridges

Optical micro-paddle beam deflection measurement for electrostatic mechanical testing of nano-scale thin film application to MEMS

A patterning technique of lead zirconate titanate thin film by ultraviolet-light

Predicting the degradation of li-ion battery using advanced machine learning techniques

The Prediction of Positioning shift for a Robot Arm Using Machine Learning Techniques

Lifetime prediction of the epoxy resin adhesive under the optical performance degradation process

A Novel Disposable Electrochemical Sensor Packaging with Application for the Detection of Uric Acid

Predicting the lifetimes of LiFePO4 batteries on the basis of the gamma process through accelerated degradation measurements

Development of a leakage-free disposable package for biosensors immersed in the chemical solutions

Accelerated Degradation Assessment of 18650 Lithium-Ion Batteries

The solder joint reliability assessment of a wafer level CSP package

Temperature dependence of Ron, sp in silicon carbide and GaAs Schottky diode

Reliability Tests of a RFID-based Lock for Power Meter Applications

Linear energy control of laser drilling and its application in the repair of TFT-LCD bright pixels: Special Issue on Design, Test, Integration and Packaging of MEMS/MOEMS, 2011

The investigation of modified Norris-Landzberg acceleration models for reliability assessment of Ball Grid Array packages

Effect of Strain Rates on the Mechanical Behavior of Cu Thin Films of Various Thicknesses

A high performance radiation-hard field programmable analog array

Microbridge formation for low resistance interline connection using pulsed laser techniques

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