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1
A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling
Published 2009“…PGA is included in the TSK-Fuzzy system to determine the optimum parameters in the Fuzzy sets and Fuzzy rules so as to improve the accuracy of the tire-road slippage index estimation. A set of data in a size of 38 × 4 and 22 × 4 were used for training and testing the performance of the model. …”
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2
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ For the fourth trial, joint angles were also calculated with external acceleration, and the RMSE was 0.996◦ In all cases, the joint angles were within therapeutic limits.…”
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3
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ For the fourth trial, joint angles were also calculated with external acceleration, and the RMSE was 0.996◦ In all cases, the joint angles were within therapeutic limits.…”
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4
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ . …”
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5
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦. …”
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6
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ . …”
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7
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ . …”
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8
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ . …”
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9
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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10
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ . …”
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Human upper body pose region estimation
Published 2013“…We propose an approach that progressively reduces the search space for body parts and can greatly improve chance to estimate the HUB pose. …”
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Book Chapter -
13
Intelligent active force control of a rigid robot arm using embedded iterative learning algorithm
Published 2000“…The paper presents a novel approach to estimating the inertia matrix of a robot arm adaptively and on-line using an iterative learning algorithm. …”
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14
Reverse Engineering for Measuring Skin Ulcer Size with 3D Scanning
Published 2014“…This project involves reverse engineering to facilitate the assessment of the skin ulcer size by using 3D laser scanning method. The development of a MATLAB algorithm which is capable to detect the ulcer from a laser scanning and estimate the quantitative measurement of a skin ulcer from the scanning. …”
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Final Year Project -
15
Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…Simulated Kalman Filter (SKF) solves optimization problems by finding the estimate of the optimum solution. As a multi-agent algorithm, every agent in the population acts as a Kalman filter by using a standard Kalman filter framework, which includes a simulated measurement process and a best-so-far solution as a reference. …”
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Conference or Workshop Item -
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Interpolation and Extrapolation Techniques Based Neural Network in Estimating the Missing Ionospheric TEC Data
Published 2024Proceedings Paper -
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Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease
Published 2016“…The economic loss was then estimated by using the best model. The estimated economic loss showed that the loss can be up to 68 percent as compared to the attainable yields of all the infected palms. …”
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Thesis -
18
Modelling the yield loss of oil palm due to ganoderma basal stem rot disease
Published 2016“…The economic loss was then estimated by using the best model. The estimated economic loss showed that the loss can be up to 68 percent as compared to the attainable yields of all the infected palms. …”
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Thesis -
19
Integrated applications of building information modeling in project cost management: a systematic review
Published 2023“…On the contrary, integrated approaches for cost estimation include integration with cost-plus pricing, discrepancy analysis, construction progress curves, estimation standards, algorithms, declarative mappings, life cycle sustainability assessment, ontology, Web-based frameworks and structured query language. …”
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Article -
20
Interpolation and extrapolation techniques based Neural Network in estimating the missing ionospheric TEC data
Published 2024Conference Paper
