Search Results - (( developing e mapping algorithm ) OR ( java implication based algorithm ))
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Selective chaotic maps Tiki-Taka algorithm for the S-box generation and optimization
Published 2021“…Unlike competing works (which typically integrates a single chaotic map into a particular metaheuristic algorithm), SCMTTA assembles five chaotic maps (i.e., tent map, logistic map, Chebyshev map, singer map and sine map) as part of the algorithm itself in order to further enhance ergodicity and unpredictability of the generated solution. …”
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Article -
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Investigating and developing the best method in shortest path for implementing a geographical information system (e-map) for Peninsular Malaysia
Published 2005“…A development of GIS database is also involved in prototype covering the road network in Peninsular Malaysia (the e-map) will be developed to show the viability or validity of the findings. …”
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Monograph -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
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Thesis -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…A simulator is developed as a test bed for the proposed algorithm for various scenarios, including the field experiment using Garmin e-Trex GPS Receiver. …”
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Final Year Project -
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Chaotic map initializations with Tiki-Taka algorithm for software remodularization problem
Published 2021“…Addressing this issue, this paper evaluates the performance of automated software remodularization using the newly developed Tiki-Taka Algorithm (TTA) and its variants with four chaotic map initializations based on Chebyshev map, Circle map, Logistic Map and Piecewise Map. …”
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Conference or Workshop Item -
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Comparison of supervised classification technique of landuse map using high resolution image / Muhammad Firdaus Mohammad Harun
Published 2019“…In this project, the objective is to generate supervised classification SPOT 7, to determine the accuracy of classification using maximum likelihood, minimum distance, mahalanobis distance and spectral angle algorithm and to produce the land use map. The algorithm were used to perform the supervised classification. …”
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Thesis -
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Development of autonomous radiation mapping robot
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Proceeding Paper -
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Development of autonomous radiation mapping robot
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Proceeding Paper -
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Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm
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Conference or Workshop Item -
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Generalization of Map Details within Computer Assisted Cartography
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