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  1. 1
    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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  2. 2
    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article

    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article by Othman, Nor Shuhaida

    Published 2010
    “…This new technique is been develope in order to overcome these problem. …”
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  3. 3
    Modeling of static and dynamic components of bio-nanorobotic systems

    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…The first modeling technique applies graph algorithms to compute a new set of optimal weighted structural properties of C60 and C70 fullerenes. …”
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  4. 4
    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator

    Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator by Othman, Nor Shuhaida

    Published 2010
    “…This new technique is been develope in order to overcome these problem. …”
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    Student Project
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  5. 5
    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]

    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.] by Ismail, Razidah, Ahmad, Tahir, Harish, Noor Ainy, A. Halim, Rosenah

    Published 2011
    “…The initial phase involved the development of the FSSM of the superheater system. In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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    Research Reports
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  6. 6
    Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner

    Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner by Salleh Muner, Nur Nabilah

    Published 2019
    “…The greedy algorithm was used to color the graph and it was supported by the C++ program. …”
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    Research Reports
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  7. 7
    COVID-19 DATA EXPLORATION USING MAPPER ALGORITHM

    COVID-19 DATA EXPLORATION USING MAPPER ALGORITHM by Carey, Ling Yu Fan

    Published 2023
    “…The resulting mapper graphs reveal the pandemic’s development progress across time and place during year 2021. …”
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    Final Year Project Report / IMRAD
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  8. 8
    Butterfly Triple System Algorithm Based on Graph Theory

    Butterfly Triple System Algorithm Based on Graph Theory by Ibrahim, Haslinda, Aldiabat, Raja’i, Karim, Sharmila

    Published 2022
    “…Basically, in this algorithm development, a starter of cyclic near-resolvable ((v-1)/2)-cycle system of the 2-fold complete graph 2Kvis employed to construct the starter of cyclic ((v-1)/2)-star decomposition of 2Kv. …”
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  9. 9
    A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining

    A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining by Jalali, Mehrdad

    Published 2009
    “…The approach in the offline phase is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining. …”
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  10. 10
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…A tool termed as VIGA-20 (Visualization of Genetic Algorithm using 2-0 Graph) is implemented to accomplish this goal. …”
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  11. 11
    Enhancement of Ant System Algorithm for Course Timetabling Problem

    Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

    Published 2009
    “…This research starts with developing an algorithm based on original concept of Ant System Algorithm. …”
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  12. 12
    A New Cell Formation Method Considering Operation Sequences And Production Volumes

    A New Cell Formation Method Considering Operation Sequences And Production Volumes by Abedini, Panteha

    Published 2013
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  13. 13
    Static and dynamic graphs modeling of a boiler system / Noor Ainy Harish

    Static and dynamic graphs modeling of a boiler system / Noor Ainy Harish by Harish, Noor Ainy

    Published 2015
    “…Thus, other concept namely Autocatalytic Set (ACS) was applied in developing a new graph which could explain a dynamic nature of a processes in the boiler system. …”
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  14. 14
    AUTOMATIC ROUTE FINDER FOR NEW VISITORS

    AUTOMATIC ROUTE FINDER FOR NEW VISITORS by ADNAN, MOHD SHIHAM

    Published 2006
    “…This study is based on Dijkstra's algorithm as the algorithm finds the most effective way to traverse an entire graph. …”
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    Final Year Project
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  15. 15
    Representation of half wing of butterfly and hamiltonian circuit for complete graph using starter set method

    Representation of half wing of butterfly and hamiltonian circuit for complete graph using starter set method by Karim, Sharmila, Ibrahim, Haslinda, Mohd Darus, Maizon

    Published 2019
    “…This new method did not use wing strategy to develop half wing of butterfly and Hamiltonian circuit. …”
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  16. 16
    The application of suitable sports games for junior high school students based on deep learning and artificial intelligence

    The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

    Published 2025
    “…This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
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  17. 17
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The algorithm consists of three new mechanisms that organize the work of an ant colony i.e. initial pheromone value mechanism, resource selection mechanism and pheromone update mechanism. …”
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    Monograph
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  18. 18
    Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach

    Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach by Haleem, A.A., Hashim, H., Varbanov, P.S., Yong, J.Y., Klemeš, J.J., Yusup, S.

    Published 2015
    “…The resulting solution from Accelerated Branch and Bound algorithm in P-graph shows that the optimal solution is through building new plant in location 1, 2 and 4 for a profit of 77.35 M MYR/y (18.3 M â�¬/y). …”
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  19. 19
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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  20. 20
    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani

    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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