Search Results - (( developing training force algorithm ) OR ( java implication _ algorithm ))
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Evaluation of Real-Time Visio-Haptic Deformable Bovine Rectal Palpation Simulator
Published 2010“…A real-time Visio-haptic Bovine Rectal Palpation Simulator for training veterinary students was developed. The simulator was meant for training medical veterinary students before they could actually perform diagnosis of various parts of the reproductive tract on live animals. …”
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Development of airbag suit system for motorcyclist
Published 2014“…The project involved development of a control algorithm for the airbag inflation and performing analysis on the finished prototype. …”
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Object texture recognition based on grasping force data using feedforward neural network / A. B. Roslan and R. L. A. Shauri
Published 2022“…Force sensor data from grasping experiments by the robot hand for a bottle and a ball were used as inputs to the recognition algorithm. …”
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Relationship investigation of handgrip forces with varied wrist angles using forearm EMG for bionic hand
Published 2017“…The information relating handgrip force and wrist position to forearm muscle activity is important as control algorithm for controlling the prostheses or robotic hand gripping force. …”
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5
A hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The proposed method was validated by comparing the output force of PSCA with the experimental target force from load cell (reference). …”
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Hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
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Development of finite element model for soil-structure interaction
Published 2014“…Then, the special finite element algorithm and computer program (2DSSI) is developed to perform two-dimensional nonlinear SSI analysis by considering interfacial behavior of soil and frame elements. …”
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9
Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
Published 2013“…The Natphoric algorithm learns the process done by training with sets of training data from previous KE research works. …”
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10
Financial time series predicting using machine learning algorithms
Published 2013“…Subsequently, Dynamic Time Warping (DTW) algorithm is utilised through brute force to predict the trend movement. …”
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11
A new estimation of nonlinear contact forces of railway vehicle
Published 2021“…This model is very useful in condition monitoring systems for railway asset management to avoid accidents and derailment of a train…”
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Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
Published 2019“…Considering both convergence rate and result accuracy simultaneously, the chaotic modified SFS algorithm performs significantly better than other training algorithms. …”
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Computational modeling of running biomechanics in amateur runners
Published 2024“…In conclusion, CMC provided the most accurate muscle force predictions. Based on the findings, running biomechanics can be better understood, aiding in improved training routines for amateur runners.…”
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Final Year Project / Dissertation / Thesis -
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Mode division multiplexing zero forcing equalisation scheme using LU factorization
Published 2016“…These technique mainly rely on Least Mean Squared (LMS) and Recursive Least Squared (RLS) algorithms. The purpose of this study is to introduce a Zero Forcing LU-based equalization scheme for MDM. …”
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15
Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
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16
Classification models for higher learning scholarship award decisions
Published 2018“…Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A data-driven model is developed based on the exoskeleton prototype built. …”
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19
Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A data-driven model is developed based on the exoskeleton prototype built. …”
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20
Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check
Published 2023“…In this study, application tool using open-sourced and customized algorithm based on artifcial neural networks (ANN) was developed to enable better, fast, cheap and practical predictions of major parameters such as welding time, current and electrode force on tensile shear load bearing capacity (TSLBC) and weld quality classifcations (WQC). …”
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