Search Results - (( data classification new algorithm ) OR ( using function path algorithm ))

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  1. 1

    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine by Fathi Mahdi Elsiddig Haroun, Mr.

    Published 2023
    “…Also, the achieved classification recall was 98.272% using the SVM Radial Basis Function (RBF) kernel. …”
    text::Thesis
  2. 2

    A collision resistant cryptographic hash function based on cellular automata rules by Jamil, Norziana

    Published 2013
    “…Popular hash functions are Message Digest 4/5 (MD-4/5), Secure Hashing Algorithm (SHA-0/1) and RIPEMD, which are referred to as MDx-class hash functions due to some commonalities in their design with the MD-family. …”
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    Thesis
  3. 3

    A-star (A*) algorithm implementation for robotics path planning navigation by Emirul Ridzwan, Nor Azmi

    Published 2018
    “…This thesis is about the implementation of Astar (A*) algorithm as path planning algorithm used in robotics navigation. …”
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    Undergraduates Project Papers
  4. 4

    Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah by Hanafiah, Sukri

    Published 1997
    “…The euler's path it using pseudo input and Heuristic algorithm to find the minimum interlace. …”
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    Thesis
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    DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH by LUONG, TRUNG TUAN

    Published 2005
    “…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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    Final Year Project
  7. 7

    Hybrid path planning for indoor robot with Laplacian Behaviour-based control via four point-explicit group by Azali Saudi, Jumat Sulaiman

    Published 2014
    “…Consequently, the gradient of the potential functions would be used by the searching algorithm to generate path from starting to goal location. …”
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    Article
  8. 8

    Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

    Published 2009
    “…The experimental results on artificial data sets and real-world data sets (from UCI Repository) show that the new method could improve both the efficiency and accuracy of pattern classification. …”
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    Thesis
  9. 9

    False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, Ateeq U. R., Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

    Published 2016
    “…This paper proposes an algorithm frame-work to deal with these false paths through identification for DFT test. …”
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    Conference or Workshop Item
  10. 10

    Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control by Srazhidinov, Radik

    Published 2016
    “…However, this assumption may lead to inaccurate secondary path model. In this work, the modelling of acoustic path using FIR filters is incorporated for both algorithms for Wiener-Hammerstein structure. …”
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    Thesis
  11. 11

    False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, A.-U.-R., Hussin, F.A., Hamid, N.H.

    Published 2017
    “…This paper proposes an algorithm framework to deal with these false paths through identification for DFT test. …”
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    Article
  12. 12

    The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment by Kok, Kai Yit

    Published 2016
    “…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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    Thesis
  13. 13

    Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries by Fadzli, S.A., Abdulkadir, S.I., Makhtar, M., Jamal, A.A.

    Published 2016
    “…The path computed using the classic Dijkstra's algorithm is the shortest; however, it may not be the most feasible. …”
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    Conference or Workshop Item
  14. 14

    New Learning Models for Generating Classification Rules Based on Rough Set Approach by Al Shalabi, Luai Abdel Lateef

    Published 2000
    “…For the problem of missing data, a new approach was proposed based on data partitioning and function mode. …”
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    Thesis
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    Application of Optimization Methods for Solving Clustering and Classification Problems by Shabanzadeh, Parvaneh

    Published 2011
    “…Samples in the same cluster have the same label. The aim of data classification is to set up rules for the classification of some observations that the classes of data are supposed to be known. …”
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    Thesis
  17. 17

    A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

    Published 2022
    “…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. …”
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    Thesis
  18. 18

    Wi-fi fingerprint database construction using Chebyshev wavelet functions by Narzullaev, Anvar, Nemadaliev, Azamjon, Selamat, Mohd Hasan, Othman, Mohamed, Sharif, Khaironi Yatim

    Published 2015
    “…Next, the collected reference samples are used to construct area specific path-loss prediction function using Chebyshev wavelets. …”
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    Conference or Workshop Item
  19. 19

    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

    Published 2015
    “…The urban growth images obtained are analysed to improve existing classification algorithms. The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
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    Thesis
  20. 20

    Enhancing Classification Algorithms with Metaheuristic Technique by Cokro, Nurwinto, Tri Basuki, Kurniawan, Misinem, ., Tata, Sutabri, Yesi Novaria, Kunang

    Published 2024
    “…Classification is a process of grouping or placing data into appropriate categories or classes based on specificattributes or features to predict labels or classes of new data based on patternsobserved from previously trained data. …”
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    Article