Search Results - (( developing program walking algorithm ) OR ( java evaluation modified algorithm ))
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Classification of gait parameters in stroke with peripheral neuropathy (PN) by using k-Nearest Neighbors (kNN) algorithm / N. Anang ...[et al.]
Published 2018“…Additionally, all subjects must be able to walk freely without any cane or mechanical aid during walking. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Fourthly, four standard vectors for pedestrian walking behaviour are developed. Fifthly, the performance of the proposed classification methods is validated and evaluated against multiple scenarios and features. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Fourthly, four standard vectors for pedestrian walking behaviour are developed. Fifthly, the performance of the proposed classification methods is validated and evaluated against multiple scenarios and features. …”
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3D solid robot animation design based on ADAMS
Published 2023“…It is of great significance to propose an efficient and improved inverse kinematics algorithm for the development of robotic bionics in China. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. …”
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Obstacle avoidance legged robot
Published 2008“…A PIC Microcontroller has been implemented to act as a brain for the robot that controls the walking and turning algorithm. Ultrasonic sensor was also developed to act as an ‘eye’ to the system and tells the brain about existence of obstacle in front. …”
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Undergraduates Project Papers -
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Conference Approval System (e-CoAS) / Nor Hidayah Rahim
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Development of Hexapod Robot with Manoeuvrable Wheel
Published 2012“…The decisions for the robot to use either wheel or legs are based on the sensory devices and algorithm develops at the controller attached to the robot.…”
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Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach
Published 2008“…This research is aimed at the development of an Automated Pavement Imaging Program (APIP) for evaluating pavement distress condition. …”
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Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique
Published 2005“…This research is aimed at the development of an Automated Pavement Imaging Program (APIP) for evaluating pavement distress condition. …”
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Development of Hexapod Robot with Manoeuvrable Wheel
Published 2012“…The decisions for the robot to use either wheel or legs are based on the sensory devices and algorithm develops at the controller attached to the robot.…”
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Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…The second agent is a reliability evaluation agent that uses a recursive algorithm to predict the suitability generator based on the frequency and duration reliability indices in each state while the third agent is the storage and transfer of data between the other two agents. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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