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  1. 1
    Routing problem in rectangular mesh network using shortest path based Greedy method

    Routing problem in rectangular mesh network using shortest path based Greedy method by Noraziah, Adzhar, Shaharuddin, Salleh, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2019
    “…Therefore, the routing sequence need to be rip-up and all nets need to be re-routed. This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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  2. 2
    Routing problem in rectangular mesh network using Dijkstra’s based Greedy method

    Routing problem in rectangular mesh network using Dijkstra’s based Greedy method by Noraziah, Adzhar, Shaharuddin, Salleh, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2018
    “…Therefore, the routing sequence need to be rip-up and all nets need to be re-routed. This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra’s based greedy method. …”
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  3. 3
    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri

    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri by Mohd Sabri, Norlina

    Published 2020
    “…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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  4. 4
    Routing problem in rectangular mesh network using shortest path based Greedy method

    Routing problem in rectangular mesh network using shortest path based Greedy method by Noraziah, Adzhar, Shaharuddin, Salleh, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2019
    “…Therefore, the routing sequence need to be rip-up and all nets need to be re-routed. This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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  5. 5
    The classification of wink-based eeg signals by means of transfer learning models

    The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

    Published 2021
    “…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. In addition, amongst the eighteen TL models evaluated based on the CWT transformation, fourteen was f ound to be able to extract the features reasonable, i.e., VGG16, VGG19, ResNet101, ResNet101 V2, ResNet152, ResNet152 V2, Inception V3, Inception ResNet V2, Xception, MobileNetV2, DenseNet 121, DenseNet 169, NasNetMobile and NasNetLarge. …”
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  6. 6
    Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer

    Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer by Tukkee, Ahmed Sahib, Bin Abdul Wahab, Noor Izzri, Binti Mailah, Nashiren Farzilah, Hassan, Mohd Khair

    Published 2024
    “…Firefly Algorithm (FA) and Particle Swarm Optimization (PSO) techniques were used to verify the results. …”
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  7. 7
    A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis

    A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Saleh, Basma Jumaa, Omar, Zaid, As’ari, Muhammad Amir, Bhateja, Vikrant, Izhar, Lila Iznita

    Published 2025
    “…To further enhance COVID-19 lesion estimation, novel optimization strategies, including a hybrid simulated annealing-cuckoo search (SA-CS) algorithm, are introduced alongside the original SA method. …”
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  8. 8
    Autism Face Detection System using Single Shot Detector and ResNet50

    Autism Face Detection System using Single Shot Detector and ResNet50 by Melinda Melinda, Muhammad Fauzan Alfariz, Yunidar Yunidar, Agung Hilm Ghimri, Maulisa Oktiana, Rizka Miftahujjannah, Nurlida Basir, Donata D. Acula

    Published 2026
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  9. 9
    Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization

    Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization by Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem

    Published 2015
    “…The deluge of multi-dimensional data acquired from advanced data acquisition tools requires sophisticated algorithms to extract useful knowledge from such data. …”
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  10. 10
    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach

    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

    Published 2001
    “…In this study, the developed algorithm is further expanded to include computation of the weight-matrix of a sequential associative feedback-type neural net model for the determination of service load of a single pile is introduced. …”
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  11. 11
    Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan

    Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan by Rosselan, Muhammad Zakyizzuddin

    Published 2018
    “…Hence, optimization methods are regularly incorporated in the sizing algorithm for such system. …”
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  12. 12
    Optimal placement and sizing of renewable distributed generation via gravitational search algorithm

    Optimal placement and sizing of renewable distributed generation via gravitational search algorithm by Daud, Sa’adah, Abdul Kadir, Aida Fazliana, Gan, Chin Kim, Abdullah, Abdul Rahim, Sulaima, Mohamad Fani, Shamsudin, Nur Hazahsha

    Published 2015
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  13. 13
    Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators

    Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators by Abed I.A., Sahari K.S.M., Koh S.P., Tiong S.K., Jagadeesh P.

    Published 2023
    “…A method based on Electromagnetism-Like algorithm (EM) and Genetic Algorithm (GA) is proposed to determine the time-optimal task scheduling for dual robot manipulators. …”
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  14. 14
    Performance analysis of ant colony's algorithm: load-balancing in QoS-based wireless mesh networks routing

    Performance analysis of ant colony's algorithm: load-balancing in QoS-based wireless mesh networks routing by Moghanjoughi, Ayyoub Akbari, Khatun, Sabira, Mohd Ali, Borhanuddin, Raja Abdullah, Raja Syamsul Azmir

    Published 2008
    “…The results show that, this new proposed method shows better operation in comparison to Ant-Net and other related methods. …”
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  15. 15
    Application of Multi-objective Genetic Algorithm (MOGA) for design optimization of valve timing at various engine speeds

    Application of Multi-objective Genetic Algorithm (MOGA) for design optimization of valve timing at various engine speeds by Mohiuddin, A. K. M., Rahman, Mohammed Ataur, Haw Shin, Yap

    Published 2011
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  16. 16
    An alternative scaling factor in quasi-newton methods for uncostrained optimization

    An alternative scaling factor in quasi-newton methods for uncostrained optimization by Muhammad Fauzi Embong

    Published 2012
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  17. 17
    Optimal damper location for mid-high frequency vibration control on built-up structures: case study using VA one

    Optimal damper location for mid-high frequency vibration control on built-up structures: case study using VA one by Abdul Muthalif, Asan Gani

    Published 2012
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  18. 18
    An Enhanced Simulated Annealing Routing Algorithm for Semi-Diagonal Torus Network

    An Enhanced Simulated Annealing Routing Algorithm for Semi-Diagonal Torus Network by Noraziah, Adzhar, Shaharuddin, Salleh

    Published 2017
    “…While this algorithm guarantees to find the shortest path for each single net, if it exists, each routed net will form obstacle for later paths. …”
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  19. 19
    Mussels wandering optimization algorithmn based training of artificial neural networks for pattern classification

    Mussels wandering optimization algorithmn based training of artificial neural networks for pattern classification by Abusnaina, Ahmed A., Abdullah, Rosni

    Published 2013
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  20. 20
    Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses

    Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses by Sadrnia, Abdolhossein, Ismail, Napsiah, Mohd Ariffin, Mohd Khairol Anuar, Zulkifli, Norzima, Boyer, Omid

    Published 2014
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