Search Results - (( program implementation based algorithm ) OR ( learning implementation during algorithm ))
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A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. The rollout algorithm is part of the Approximate Dynamic Programming (ADP) lookahead solution approach for a Markov Decision Processes (MDP) framed Multi-Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity (MDDVRPSRC). …”
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Implementing case-based reasoning approach to framework documentation
Published 2023“…During the "revise" and "retain" steps of the CBR, Knuth-Morris-Pratt (KMP) pattern matching algorithm is applied. � 2008 IEEE.…”
Conference paper -
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User authentication in public cloud computing through adoption of electronic personal synthesis behavior
Published 2023“…Secondly, a questionnaire prepared to examine the acceptance and use of EPSB. Finally, the implemented algorithm tested by comparing the accuracy of the current authentication framework with and without an EPSB algorithm. …”
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Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…This study had implemented a two-hours per week experiment for eight weeks which had been conducted through the subject of Information Technology and Communication. …”
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Thesis -
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Thesis -
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Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Published 2012“…The objective of this paper is to describe the implementation of autonomous navigation through the use of event-driven programming technique which was based on finite state machines (FSM). …”
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Conference or Workshop Item -
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Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Undergraduates Project Papers -
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Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…In this paper, object detection model is developed and implemented with deep learning algorithm. Object classification model is produced through the model training with Deep Neural Networks (DNN). …”
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Proceedings -
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Implementation of autonomous vehicle navigation algorithms using event-driven programming
Published 2012“…The objective of this paper is to describe the implementation of autonomous navigation through the use of event-driven programming technique which was based on finite state machines (FSM). …”
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Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad
Published 2002“…Second experiment uses dynamic programmings apply with Wagner and Fischer algorithm.…”
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Thesis -
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Autonomous path planning robot using geographical information
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Learning Object -
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CAR TRACTION CONTROL SYSTEM
Published 2007“…VHDL is used in FPGA - based implementation. The methodology includes designing the fuzzy logic controller, development of the algorithm and codes programming. …”
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Final Year Project -
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Projecting image on non-planar surface with zero-th order geometric continuity using simple dual-linear function and manipulation of strict integer implementation in programming la...
Published 2015“…Usage of a projection system to display large screen images is still relevant in the midst of LED-based display increasing popularity.This is due to that the system itself is a mature technology, reliable and cheaper than the LED counterpart.While various methods had addressed the projection problems on curve surface, projecting image on jagged like surface (zero order geometric continuity) has yet to be studied in depth.This paper proposes a method for projecting image on non-planar surface with zero-order geometric continuity property using parametric modeling.The method manipulate linear function by combining two functions into one by taking advantage of computer programs strict implementation of integer variables.The method was applied to grid-based texturing algorithm in order to create the desired zero-continuity effect on the surface.The method was compared with texturing that implement existing curve algorithm to project image on the screen.Visual evaluation results showed that the proposed method fared better compared to existing curve-based projection algorithm.…”
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Vision-based robot indoor navigation
Published 2022“…This project aims to develop a vision-based navigation robot using OpenCV and C++ programming language in an indoor environment. …”
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Final Year Project / Dissertation / Thesis -
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Drone Based People Counter And Tracking Using Unique Id Using Opencv Python
Published 2020“…The purpose of this thesis is to implement an algorithm for drone-based square boundaries using Python and OpenCV. …”
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Monograph -
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Development of a cost efficient vision system for defects detection / Muhammad Zarif Kamarudin
Published 2010“…A full programming documentation was done based on programming body modification and improvement. …”
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Monograph -
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Parallelization of speech compression based algorithm based on human auditory system on multicore system
Published 2012“…The objective of this research is to develop and implement a novel parallel speech compression algorithm based on human auditory system on a multicore system. …”
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Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin
Published 2014“…Bat algorithm was employed to optimize the training parameters such as learning rate, momentum rate and number of neurons in hidden layers. …”
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