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  1. 1
    A review of YOLO algorithm and its applications in autonomous driving object detection

    A review of YOLO algorithm and its applications in autonomous driving object detection by Wei, Jiapei, As'arry, Azizan, Md Rezali, Khairil Anas, Mohamed Yusoff, Mohd Zuhri, Ma, Haohao, Zhang, Kunlun

    Published 2025
    “…This paper reviews the YOLO algorithm and its application in object detection in autonomous driving scenarios. …”
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  2. 2
    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by Hassan, Mahamat. I, Azween, Abdullah

    Published 2010
    “…Resource Discovery (RD) is a key issue in Internet-based distributed sytems such as grid. RD is about locating an appropriate resource/service type that matches the user’s application requirements. …”
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  3. 3
    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by HASSAN, MAHAMAT ISSA

    Published 2010
    “…Resource Discovery (RD) is a key issue in Internet-based distributed sytems such as grid. RD is about locating an appropriate resource/service type that matches the user's application requirements. …”
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  4. 4
    Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models

    Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models by Mohd Hafis Yuswan, Norazlina Ali, Syaiful Izwan Ismail, Basyirah Muda, Mohamad Habeeb Helmy Idris, Mazidah Md Nor, Nur Suhadah Nawi, Muhamad Shirwan Abdullah Sani, Lai, Kok Song

    Published 2025
    “…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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  5. 5
    Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia

    Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia by Ajibola, Lamidi-Sarumoh Alaba

    Published 2019
    “…The data collected was used to learn the structure of BN via some known algorithms using R programming language. Based on related literature on KAP regarding dengue studies done in Malaysia from 1986 to 2017, a framework of handcraft BN was also formulated with dengue KAP expert opinion. …”
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  6. 6
    A study on classification learning algorithms to predict crime status.

    A study on classification learning algorithms to predict crime status. by Shojaee, Somayeh, Mustapha, Aida, Sidi, Fatimah, A. Jabar, Marzanah

    Published 2013
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  7. 7
    Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models

    Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models by Yuswan, Mohd Hafis, Ali, Norazlina, Ismail, Syaiful Izwan, Muda, Basyirah, Helmy Idris, Mohamad Habeeb, Md Nor, Mazidah, Nawi, Nur Suhadah, Abdullah Sani, Muhamad Shirwan, Kok Song, Lai

    Published 2025
    “…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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  8. 8
    Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN modelsramalan gelatin tidak halal: perbandingan analisis pembelajaran mesin antara model OPLS-DA dan ANN

    Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN modelsramalan gelatin tidak halal: perbandingan analisis pembelajaran mesin antara mod... by Yuswan, Mohd Hafis, Ali, Norazlina, Ismail, Syaiful Izwan, Muda, Basyirah, Helmy Idris, Mohamad Habeeb, Md Nor, Mazidah, Nawi, Nur Suhadah, Abdullah Sani, Muhamad Shirwan, Lai, Kok Song

    Published 2025
    “…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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  9. 9
    Human health status IoT device using data optimization algorithm / Albin Lemuel Kushan ... [et al.]

    Human health status IoT device using data optimization algorithm / Albin Lemuel Kushan ... [et al.] by Kushan, Albin Lemuel, Anuar, Muhammad Hazwan, Mohd Supir, Mohd Hafifi, Ahmad Fadzil, Ahmad Firdaus, Zolkeplay, Anwar Farhan

    Published 2021
    “…This project aims to produce a device that can be used to identify the current health status of a person using sensor and a data optimization algorithm. …”
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  10. 10
    An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications

    An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications by Nurul Asyikin, Zainal, Azad, Saiful, Kamal Z., Zamli

    Published 2020
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  11. 11
    A review of object detection in traffic scenes based on deep learning

    A review of object detection in traffic scenes based on deep learning by Zhao, Ruixin, Tang, SaiHong, Supeni, Eris Elianddy, Abdul Rahim, Sharafiz, Fan, Luxin

    Published 2024
    “…It systematically summarizes the Development and current research status of object detection algorithms, and compare the characteristics, advantages and disadvantages of the two types of algorithms. …”
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  12. 12
    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia

    Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia by Hindia, Mhd Nour

    Published 2015
    “…On the second level, TOPSIS algorithm allocates resources among an application’s user based on their criteria and the application’s preferences. …”
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  13. 13
    Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks

    Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks by Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

    Published 2017
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  14. 14
    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network

    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network by Hindia, M.N., Reza, A.W., Noordin, K.A.

    Published 2015
    “…On the second level, TOPSIS algorithm allocates the resources among application's users based on their criteria and the application's preferences. …”
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  15. 15
    The implementation of forward chaining algorithm in calculating inheritance property based on faraid law / Nur Ain Syafiqah Mohammad Marzuki

    The implementation of forward chaining algorithm in calculating inheritance property based on faraid law / Nur Ain Syafiqah Mohammad Marzuki by Mohammad Marzuki, Nur Ain Syafiqah

    Published 2021
    “…Therefore, the purpose of this study is to facilitate the use of Forward Chaining Algorithm to calculate Faraid based on inheritance division. …”
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  16. 16
    Suitability Factor on the Capacitated Vehicle Routing Problem

    Suitability Factor on the Capacitated Vehicle Routing Problem by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2010
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  17. 17
    Multi label ranking based on positive pairwise correlations among labels

    Multi label ranking based on positive pairwise correlations among labels by Alazaidah, Raed, Ahmad, Farzana Kabir, Mohsin, Mohamad

    Published 2020
    “…The first objective is to propose a new multi-label ranking algorithm based on the positive pairwise correlations among labels, while the second objective aims to propose new simple PTMs that are based on labels correlations, and not based on labels frequency as in conventional PTMs. …”
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  18. 18
    Islamic media algorithms and halal perception in Malaysia

    Islamic media algorithms and halal perception in Malaysia by Jamaludin, Mohammad Aizat, Rosli, Nur Liana Izzaty, Ibrahim, Muhammad Irhammudi

    Published 2025
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  19. 19
    CAPWAP status and design considerations for seamless roaming support

    CAPWAP status and design considerations for seamless roaming support by Balfaqih, Mohammed, Haseeb, Shariq, Mazlan, M. Hasbullah, Hasnan, S. N, Mahmoud, Omer, Hassan Abdalla Hashim, Aisha

    Published 2012
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  20. 20
    Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation

    Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation by Alia, Osama Moh’d Radi

    Published 2011
    “…Various images from different application domains, including synthetic and real-world images, have been used in this thesis to show the applicability of the proposed algorithms. …”
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