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  1. 1
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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    Thesis
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  2. 2
    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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  3. 3
    Energy efficient path reconstruction in wireless sensor network using iPath

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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    Final Year Project / Dissertation / Thesis
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  5. 5
    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms

    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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  6. 6
    The study of stemming algorithm on Malay words that begin with alphabets P, Q, Y, and Z from the translated Al-Quran / Suriani Mat

    The study of stemming algorithm on Malay words that begin with alphabets P, Q, Y, and Z from the translated Al-Quran / Suriani Mat by Mat, Suriani

    Published 2001
    “…This involves the use of two combinations simultaneously such as the pair combination of 1234 as primary combinations and 3124 as the secondary. …”
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  7. 7
    To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail

    To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail by Ismail, Norasiah

    Published 2001
    “…This involves the use of two combinations simultaneously such as the pair combination of prefix-suffix-prefix suffix-infix as primary combinations and prefix suffix-suffix-prefix-infix as the secondary. …”
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  8. 8
    Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour

    Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour by Pebrianti, Dwi, Ariawan, Angga, Bayuaji, Luhur, Mahdiana, Deni, ,, Rusdah

    Published 2022
    “…With a combination of Naive Bayes and k-NN algorithms, the accuracy value is increasing to 86%. …”
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    Proceeding Paper
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  9. 9
    Controller placement mechanism in software defined network using k-median algorithm

    Controller placement mechanism in software defined network using k-median algorithm by Fahad, Noor Saad

    Published 2016
    “…First, comparing to greedy algorithm that computes the combinations according to the order of the nodes and calculates the best values at each step, and the results were identical. …”
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  10. 10
    An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit

    An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit by Abdullah Bamatraf, Abdullah Omar

    Published 2012
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  11. 11
    The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values

    The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values by Ambrose, Jasmin

    Published 2000
    “…The combined calibrated formulae (The Algorithm) were later tested using five static loading test results. …”
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  12. 12
    SVD-gorank: Recommender system algorithm using SVD and gower's ranking

    SVD-gorank: Recommender system algorithm using SVD and gower's ranking by Saifudin, Ilham, Widiyaningtyas, Triyanna, Zaeni, Ilham Ari Elbaith, Aminuddin, Afrig

    Published 2025
    “…Recently, a ranking algorithm that combines user rating values from SVD (Singular Value Decomposition) and user similarity values has been proposed. …”
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  13. 13
    Committee neural networks with fuzzy genetic algorithm.

    Committee neural networks with fuzzy genetic algorithm. by Jafari , S.A., Mashohor , Syamsiah, Varnamkhasti, M. Jalali

    Published 2011
    “…A bi-linear allocation lifetime approach is used to label the chromosomes based on their fitness value, which will then be used to characterize the diversity of the population. …”
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  14. 14
    Extensions to the K-AMH algorithm for numerical clustering

    Extensions to the K-AMH algorithm for numerical clustering by Seman, Ali, Mohd Sapawi, Azizian

    Published 2018
    “…The original k-AMH algorithm for categorical values uses a simple matching dissimilarity measure, but for numerical values it uses Euclidean distance. …”
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  15. 15
    A new digital watermarking algorithm using combination of Least Significant Bit (LSB) and inverse bit

    A new digital watermarking algorithm using combination of Least Significant Bit (LSB) and inverse bit by Bamatraf, Abdullah, Ibrahim, Rosziati, Mohd. Salleh, Mohd. Najib

    Published 2011
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  16. 16
    Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis

    Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis by Abouhasera, Mohamed Khalid Mohamed

    Published 2017
    “…To overcome these concerns, we present enhanced algorithms for load flow analysis by combining Gauss-Seidel and Newton-Raphson methods that incorporate constant Jacobian to give a more dependable method with tolerable accuracy and shorter computation time.…”
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  17. 17
    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi

    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi by Mohd Supandi, Mohd Nazril Hafez

    Published 2000
    “…In which it involves the use of two combinations simultaneously such as the pair combination of 1234 as primary combination and 2341 as the secondary. …”
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  18. 18
    Predictive modelling of machining parameters of S45C mild steel

    Predictive modelling of machining parameters of S45C mild steel by Abbas, Adnan Jameel

    Published 2016
    “…The PSO1 algorithm which used first main temperature objective function gives the best roughness value (0.52 μm) compared with other algorithms, followed by the AIS2 and PSO2 that give (0.86 μm). …”
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  19. 19
    Sediment load forecasting from a biomimetic optimization perspective: Firefly and Artificial Bee Colony algorithms empowered neural network modeling in �oruh River

    Sediment load forecasting from a biomimetic optimization perspective: Firefly and Artificial Bee Colony algorithms empowered neural network modeling in �oruh River by Katipo?lu O.M., Kartal V., Pande C.B.

    Published 2025
    “…The estimation of SL values was achieved using inputs of previous SL and streamflow values provided to the models. …”
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  20. 20
    A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data

    A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data by Yeo, Lee Chin, Deris, Safaai

    Published 2005
    “…The Performance Of The Combined Techniques Is Validated By Using Leave-One-Out Cross Validation (Loocv) Technique And Receiver Operating Characteristic (Roc) Is Used To Analyze The Results. …”
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