Search Results - (( motion estimation path algorithm ) OR ( time automation based algorithm ))
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Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring
Published 2014“…Using motion estimation it is possible to track the path from the starting point of activation to the final point of activation. …”
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Citation Index Journal -
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Motion estimation on homogenous surface for around view monitoring system
Published 2020“…We propose to develop two ultra-wide-angle cameras located on the front and rear vehicle integrated with the motion estimation (ME) algorithm to produce a parking bird eye view and forward/backward trajectory lines. …”
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Proceeding Paper -
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Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
Published 2013“…The study presents an algorithm for conflict-free Automated Guided Vehicle (AGV) routing minimizing travel time and total job tardiness. …”
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Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…The algorithm generates an integrated scheduling and detail paths route while optimizing makespan, AGV travel time, mean flow time and penalty cost due to jobs tardiness and delay as a result of conflict avoidance. …”
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Effect of waves and current on motion control of underwater gliders
Published 2020“…This paper investigates the effect of waves and ocean currents on the dynamics and motion control of underwater gliders. Waves and ocean currents affect a gliderâ��s performance by deviating from its desired path and reducing its operational range. …”
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Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…Therefore, this study proposed an automated negative lightning return strokes characterisation using a Brute-Force search algorithm, mainly on seven parameters, i.e. on zero-topeak rise time, 10-to-90% rise time, zero-crossing time, slow front time, slow front amplitude relative to peak, fast transition 10-to-90% rise time, and width dE/dt pulse at half peak value. …”
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An Automated Strabismus Classification Using Case-Based Reasoning Algorithm For Binocular Vision Management System
Published 2023“…One of them is to perform accommodate amplitude test, which is time-consuming. Thus, with the Agile methodology, the Binocular Vision Management system is proposed which comprised of two components, a web-based component for patient, treatment, and appointment management, and a machine learning component for automating the strabismus classification by using case-based reasoning algorithm. …”
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Undergraduates Project Papers -
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An automated strabismus classification using machine learning algorithm for binocular vision management system
Published 2023“…To overcome these limitations, a machine learning algorithm, which is a case-based reasoning, is developed to automate the strabismus classification. …”
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Proceeding Paper -
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An automated strabismus classification using machine learning algorithm for binocular vision management system
Published 2023“…To overcome these limitations, a machine learning algorithm, which is a case-based reasoning, is developed to automate the strabismus classification. …”
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A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.
Published 2024“…For case study 2, the ACO algorithm achieved a best distance of 1071 (u) with execution time 1.91 (s), while the GA algorithm resulted in a best distance of 1082 (u) with execution time 0.08 (s). …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…As the integrated scheduling of handling equipment is a “non-deterministic polynomialtime hard” (NP-hard) problem and also the computation time and ease of application are so important for real practices of the scheduling methods, So a meta-heuristic algorithm based on Genetic Algorithm is developed, in which, new operators create solutions considering the constraints of the problem and also a heuristic rule proposed which assigns the ALVs to the tasks. …”
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Automated Student Timetable Scheduling System based on Genetic Algorithm
Published 2019“…In order to solve these problems, automated timetable scheduling system based on genetic algorithm is proposed which is estimated to reduce the chances of class clashing and prevent continuous lecture time. …”
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Automated threshold detection for object segmentation in colour image
Published 2016“…Most common solution of the task is the uses of threshold strategy based on trial and error method. As the method is not automated, it is time consuming and sometimes a single threshold value does not work for a series of image frames of video data. …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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Organizational Culture Automated Audit System (OCAAS)
Published 2017“…The study suggests the development of data mining based on knowledge management technology that can be utilized in automated OCA to overcome the many drawbacks. …”
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Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…Furthermore, the proposed techniques based on the QLearning algorithm do not consider context-based actions. …”
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Thesis