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  1. 1
    Reconnaissance mission: development of an algorithm for indoor localisation system with collaborative multi-robot

    Reconnaissance mission: development of an algorithm for indoor localisation system with collaborative multi-robot by Billah, Md. Masum, Khan, Md. Raisuddin, Ahmed, Mohiuddin, Shafie, Amir Akramin

    Published 2012
    “…A set of communication techniques, an algorithm for sharing behavior for positioning of agent robots, and appropriate attitude which is useful for a group of robots to work together, are developed for collaborative reconnaissance. …”
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  2. 2
    Reconnaissance mission: Development of an algorithm for indoor localisation system with collaborative multirobot

    Reconnaissance mission: Development of an algorithm for indoor localisation system with collaborative multirobot by Billah, Md. Masum, Khan, Md. Raisuddin, Ahmed, Mohiuddin, Shafie, Amir Akramin

    Published 2013
    “…A set of communication techniques, an algorithm for sharing behavior for positioning of agent robots, and appropriate attitude which is useful for a group of robots to work together, are developed for collaborative reconnaissance. …”
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  3. 3
    Numerical Integration And Data Reduction For Application In Photometry

    Numerical Integration And Data Reduction For Application In Photometry by Chew, Tong Fatt

    Published 2003
    “…In this thesis, an algorithm based on a local interpolation scheme called the Average Angle Method was developed for numerical integration and data reduction of photometric data, and in general, for any data set sharing similar characteristics as the luminous intensity data The new interpolation scheme interpolates discrete data with piecewise cubic polynomials having a CI continuity in the interior. knots. …”
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  4. 4
    A genetic algorithm for symmetric travelling salesman problem eith due dates

    A genetic algorithm for symmetric travelling salesman problem eith due dates by Lee, Lai Soon, Potts, Christopher N., Bennell, Julia A.

    Published 2007
    “…The objective is to find an ordering of the cities that starts and ends at the depot which minimises the maximum lateness, and the total tour length of the cities. A genetic algorithm (GA) which utilizes the multicrossover operator is developed. …”
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  5. 5
    Smart IoT energy optimisation and localisation monitoring for e-bike sharing

    Smart IoT energy optimisation and localisation monitoring for e-bike sharing by Mohamed, Mawada Ahmed, Toha, Siti Fauziah, Rahman, Md Ataur, Khairudin, Moh.

    Published 2025
    “…The methodology involved integrating sensors to collect key data, implementing connectivity for real-time monitoring, and developing an energy optimization algorithm to prolong battery life, improving the efficiency of the e-bike sharing system. …”
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  6. 6
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  7. 7
    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy

    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…An efficient iterative algorithm is developed to optimize the objective function of the proposed algorithm since it is non-smooth and difficult to solve. …”
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  8. 8
    Performance study of the coexistence of Wireless Sensor Networks (WSN) and Wireless Local Area Networks (WLAN) / Muhammad Adib Haron … [et al.]

    Performance study of the coexistence of Wireless Sensor Networks (WSN) and Wireless Local Area Networks (WLAN) / Muhammad Adib Haron … [et al.] by Haron, Muhammad Adib, Jusoh, Mohamad Huzaimy, Abdul Aziz, Noor Hafizah, W. Muhamad, Wan Norsyafizan

    Published 2008
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  9. 9
    Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems

    Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems by Yasear, Shaymah Akram

    Published 2020
    “…Harris’s hawk multi-objective optimizer (HHMO) algorithm is a MOSIbased algorithm that was developed based on the reference point approach. …”
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  10. 10
    Decentralized traffic signal control for grid traffic network using genetic algorithm

    Decentralized traffic signal control for grid traffic network using genetic algorithm by Min Keng Tan, Helen Sin Ee Chuo, Kiam Beng Yeo, Renee Ka Yin Chin, Sha Huang, Kenneth Tze Kin Teo

    Published 2019
    “…Each agent has the autonomy in controlling their own traffic intersection and they will share their local traffic information to their downstream intersections. …”
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  11. 11
    Development of water surface robot system for lake sanitation and sampling / Ahmed Abdullah Omar

    Development of water surface robot system for lake sanitation and sampling / Ahmed Abdullah Omar by Ahmed Abdullah , Omar

    Published 2022
    “…Case study 1 tests the robot’s APIs in implementing a genetic algorithm for wayfinding with RTK-based localization. …”
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  12. 12
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  13. 13
    A study on component-based technology for development of complex bioinformatics software

    A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

    Published 2004
    “…Othman develop a predictive algorithm named R-HCSVM to predict protein local structure that works with following steps. …”
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  14. 14
    Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit

    Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit by Deng, Ting

    Published 2024
    “…Step 3 automatically evolves the best-fitting parameters for the highly personalized model at each center using an adapted genetic algorithm. Ultimately, this typical "FL training + local adaptation" PFL method can enhance model predictive accuracy by automatically generating a highly personalized model for each ICU center, guided by the FL sharing model. …”
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  15. 15
    Efficient flow-based channel assignment schemes for congestion avoidance in wireless mesh networks

    Efficient flow-based channel assignment schemes for congestion avoidance in wireless mesh networks by Abdulla Mogaibel, Hassen Abd-Almotaleb

    Published 2016
    “…Also, two algorithms are developed to address the link sharing problem during the channel assignment stages; channel-to-interface and link-to-interface stages. …”
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  16. 16
    Federated deep learning for automated detection of diabetic retinopathy

    Federated deep learning for automated detection of diabetic retinopathy by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani

    Published 2022
    “…The objectives of this research is to avoid the requirement sharing DR patient data, since such approaches expedite the development of deep learning models through the use of federated learning. …”
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  17. 17
    Energy management in mobile robotics system based on biologically inspired honeybees behavior

    Energy management in mobile robotics system based on biologically inspired honeybees behavior by Ahmad, Faisul Arif, Ramli, Abdul Rahman, Samsudin, Khairulmizam, Hashim, Shaiful Jahari

    Published 2011
    “…The information of position for power source energy that is getting from a forager robot will be shared with other mobile robots by local communication. …”
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  18. 18
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by SALH, ADEB, NGAH, RAZALI, Audah, Lukman, SOON KIM, KWANG, ALJALOUD, KHALED A., TALIB, HAIRUL NIZAM

    Published 2023
    “…Federated Learning (FL) is proposed to solve the high computational complexity by training the model locally on IoT devices and sharing the model parameters in the edge nodes. …”
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  19. 19
    Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G

    Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G by Ngah, Razali, Salh, Adeeb, Audah, Lukman, Abdullah, Qazwan, Kim, Kwang Soon, Al-Moliki, Yahya Mohammed Hameed, AlJaloud, Khaled A., Talib, Md Hairul Nizam

    Published 2023
    “…Federated Learning (FL) is proposed to solve the high computational complexity by training the model locally on IoT devices and sharing the model parameters in the edge nodes. …”
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  20. 20
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by SALH, ADEB, NGAH, RAZALI, AUDAH, LUKMAN, KWANG SOON KIM, KWANG SOON KIM, ABDULLAH, QAZWAN, M. AL-MOLIKI, YAHYA, A. ALJALOUD, KHALED, TALIB, HAIRUL NIZAM

    Published 2023
    “…Federated Learning (FL) is proposed to solve the high computational complexity by training the model locally on IoT devices and sharing the model parameters in the edge nodes. …”
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