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  1. 1
    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots

    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

    Published 2022
    “…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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  2. 2
    Path Following Using A Learning Neural Network

    Path Following Using A Learning Neural Network by NHH , Mohamad Hanif

    Published 2004
    “…This thesis is a development ofprevious works done by [2} on capability of neural controller to efficiently track prescribed paths. …”
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    Final Year Project
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  3. 3
    Adaptive path finding algorithm in dynamic environment for warehouse robot

    Adaptive path finding algorithm in dynamic environment for warehouse robot by Ng, Mun Kit, Chong, Yung Wey, Ko, Kwang man, Park, Young Hoon, Leau, Yu Beng

    Published 2020
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  4. 4
    Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques

    Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques by Salem S. M. Khalifa

    Published 2024
    “…The proposed architecture is implemented in the form of two models, namely, the neuro-fuzzy risk assessment model and the safe path selection model. Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
    thesis::doctoral thesis
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  5. 5
    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices

    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
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  6. 6
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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  7. 7
    Route Optimization System

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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  8. 8
    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score

    Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

    Published 2021
    “…The purpose of this study is two folds such as the development of a statistically valid path model which considered the possible non-linear paths, mediators, and binary endogenous feature of CVDs status. …”
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    Thesis
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  9. 9
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
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  10. 10
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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  11. 11
    Development of an Adaptive Algorithm for Solving the Inverse Kinematics Problem for Serial Robot Manipulators

    Development of an Adaptive Algorithm for Solving the Inverse Kinematics Problem for Serial Robot Manipulators by T. Hasan, Ali

    Published 2005
    “…The efficiency of the proposed algorithm is demonstrated through simulations of a general 6 D.O.F. serial robot manipulator…”
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  12. 12
    Monkeypox disease detection using Convolutional Neural Network (CNN) / Nur Farhain Humaira Ghanami

    Monkeypox disease detection using Convolutional Neural Network (CNN) / Nur Farhain Humaira Ghanami by Ghanami, Nur Farhain Humaira

    Published 2024
    “…The project is to study the CNN algorithm and develop a prototype to evaluate the accuracy of monkeypox disease detection using CNN. …”
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  13. 13
    Study of climate change effects on rain height for satellite microwave links

    Study of climate change effects on rain height for satellite microwave links by Yong, Xin Yu

    Published 2024
    “…Then, a simple AI predictive model for rain height is being developed by using Artificial Neural Network (ANN) algorithms with Python programming language. …”
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    Final Year Project / Dissertation / Thesis
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  14. 14
    Minimization of tool path length of drilling process using particle swarm optimization (PSO)

    Minimization of tool path length of drilling process using particle swarm optimization (PSO) by Abdullah, Haslina, Zaman, Nizam Nurehsan, Talib, Norfazillah, Lee, Woon Kiow, Saleh, Aslinda, Zakaria, Mohamad Shukri

    Published 2020
    “…Therefore, in this study, the Particle Swarm Optimization (PSO) algorithm was develop in order to minimizing the tool path length in the drilling process which can produce the better results for the required machining time process. …”
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  15. 15
    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
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    Monograph
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  16. 16
    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
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  17. 17
    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT

    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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  18. 18
    Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite

    Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite by Suali, Anjila J., Nuraminah Ramli, Rozmie Razif Othman, Hasneeza Liza Zakaria, Iszaidy Ismail, Nor Shahida Mohd Jamail, Rimuljo Hendradi, Nurol Husna Che Rose

    Published 2025
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  19. 19
    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine

    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine by Tahan, M., Sarwar, U., Muhammad, M., Abdul Karim, Z.A.

    Published 2016
    “…The model is developed and tested using the gas path performance data collected from an 18.7 MW twin-shaft industrial gas turbine. …”
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  20. 20
    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine

    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine by Tahan, M., Sarwar, U., Muhammad, M., Abdul Karim, Z.A.

    Published 2016
    “…The model is developed and tested using the gas path performance data collected from an 18.7 MW twin-shaft industrial gas turbine. …”
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