Search Results - "Bao Quoc Ta"
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Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms
Published in Sensors (Basel, Switzerland) (02-12-2020)“…In this study, a regional convolutional neural network (RCNN)-based deep learning and Hough line transform (HLT) algorithm are applied to monitor corroded and…”
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Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model
Published in Sensors (Basel, Switzerland) (15-06-2020)“…In this study, we investigate a novel idea of using synthetic images of bolts which are generated from a graphical model to train a deep learning model for…”
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3
Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface
Published in Sensors (Basel, Switzerland) (07-12-2022)“…A wireless impedance monitoring system, called SSeL-Pi, is designed to have cheap, mobile, and handy practical features as compared to wired commercial…”
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Optimal Localization of Smart Aggregate Sensor for Concrete Damage Monitoring in PSC Anchorage Zone
Published in Sensors (Basel, Switzerland) (22-09-2021)“…This study investigates the feasibility of smart aggregate (SA) sensors and their optimal locations for impedance-based damage monitoring in prestressed…”
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A method for automated bolt-loosening monitoring and assessment using impedance technique and deep learning
Published in Developments in the built environment (01-04-2023)“…Traditional impedance-based bolt-looseness monitoring approaches using hand-crafted impedance features can lead to difficulties in quantitative damage severity…”
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Ulam-Hyers Stability and Ulam-Hyers-Rassias Stability for Fuzzy Integrodifferential Equation
Published in Complexity (New York, N.Y.) (01-01-2019)“…In this paper, we establish the Ulam-Hyers stability and Ulam-Hyers-Rassias stability for fuzzy integrodifferential equations by using the fixed point method…”
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Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data
Published in Sensors (Basel, Switzerland) (27-04-2022)“…The performance of a neural network depends on the availability of datasets, and most deep learning techniques lack accuracy and generalization when they are…”
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Integrating the Capsule-like Smart Aggregate-Based EMI Technique with Deep Learning for Stress Assessment in Concrete
Published in Sensors (Basel, Switzerland) (21-07-2024)“…This study presents a concrete stress monitoring method utilizing 1D CNN deep learning of raw electromechanical impedance (EMI) signals measured with a…”
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Integrated Estimation of Stress and Damage in Concrete Structure Using 2D Convolutional Neural Network Model Learned Impedance Responses of Capsule-like Smart Aggregate Sensor
Published in Sensors (Basel, Switzerland) (15-10-2024)“…Stress and damage estimation is essential to ensure the safety and performance of concrete structures. The capsule-like smart aggregate (CSA) technique has…”
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Capsule-Like Smart Aggregate with Pre-Determined Frequency Range for Impedance-Based Stress Monitoring
Published in Sensors (Basel, Switzerland) (30-12-2022)“…In this article, a new capsule-like smart aggregate (CSA) is developed and verified for impedance-based stress monitoring in a pre-determined frequency range…”
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Smart Low Level Laser Therapy System for Automatic Facial Dermatological Disorder Diagnosis
Published in IEEE journal of biomedical and health informatics (01-03-2023)“…Computer-aided diagnosis using dermoscopy images is a promising technique for improving the efficiency of facial skin disorder diagnosis and treatment. Hence,…”
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A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application
Published in Computers in biology and medicine (01-09-2021)“…In low-level laser therapy, providing an optimal dosage and proposing a proper diagnosis before dermatological treatment are essential to reduce the side…”
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Smart Aggregate-Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals
Published in Structural control and health monitoring (2024)“…A 1-dimensional convolutional neural network (1D CNN) model is developed to process deep learning of raw impedance signals for smart aggregate (SA)-based…”
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14
CNN-Based Damage Identification of Submerged Structure-Foundation System Using Vibration Data
Published in Applied sciences (01-09-2024)“…This study presents a convolutional neural network (CNN) deep learning approach for identifying damage in submerged structure-foundation systems using…”
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An effective passive micromixer with shifted trapezoidal blades using wide Reynolds number range
Published in Chemical engineering research & design (01-01-2015)“…•Novel design of shifted trapezoidal blades (STB) micromixer.•High mixing efficiency (>80%) for all Reynolds number in the range 0.5≤Re≤100.•Highest efficiency…”
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Correction: Pham et al. Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model. Sensors 2020, 20, 3382
Published in Sensors (Basel, Switzerland) (05-08-2021)“…The authors wish to make the following correction to this paper [...]…”
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17
Some properties of bivariate Schur-constant distributions
Published in Statistics & probability letters (01-05-2017)“…This paper deals with the Laplace transform of bivariate Schur-constant models. We show that this transform generates a new family of copulas. Some connections…”
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18
Local synthesis of carbon nanotubes for direct integration in Si microsystems – design considerations
Published in Advances in manufacturing (01-09-2013)“…The integration of nanomaterials such as carbon nanotubes (CNTs) into microsystems is highly desirable, in order to make use of the unique nanomaterial…”
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19
Design of a planar, high-gain, substrate-integrated Fabry–Perot cavity antenna at terahertz frequency
Published in Current applied physics (01-09-2015)“…This paper presents an optimum design of a substrate-integrated cavity-type antenna for use in the terahertz frequency range. The antenna was designed with a…”
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Low-Cost Fabrication of Hollow Microneedle Arrays Using CNC Machining and UV Lithography
Published in Journal of microelectromechanical systems (01-10-2015)“…In order to produce disposable microneedles for blood-collection devices in smart homecare monitoring systems, we have developed a simple low-cost scalable…”
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