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  1. 1
    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique

    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique by Hamid, Nurul 'Atiqah

    Published 2016
    “…There are 6 main designs that the algorithms proposed namely the Orthogonal-Diamond Search Algorithm with Small Diamond Search Pattern (ODS-SDSP), the Orthogonal-Diamond Search Algorithm with Large Diamond Search Pattern (ODS-LDSP), the Diamond-Orthogonal Search Algorithm with Small Diamond Pattern (DOS-SDSP), the Diamond-Orthogonal Search Algorithm with Large Diamond Pattern (DOS-LDSP), the Modified Diamond-Orthogonal Search Algorithm with Small Diamond Pattern (MDOS-SDSP), and the Modified Diamond-Orthogonal Search Algorithm with Large Diamond Pattern (MDOS-LDSP). …”
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  2. 2
    Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis

    Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis by Kabir Ahmad, Farzana, Kamaruddin, Siti Sakira, Yusof, Yuhanis, Yusoff, Nooraini

    Published 2021
    “…Thus, this study proposed a Bat Algorithm (BA) to address the complex learning structure of DBN in detecting sentiment patterns. …”
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  3. 3
    The Development Of Planar Curves With High Aesthetic Value

    The Development Of Planar Curves With High Aesthetic Value by Rudrusamy, Gobithaasan

    Published 2010
    “…The pattern of research in this ¯eld of study has branched to ¯ve major groups; the devel- opment of fairing algorithms; the development of planar curves via curve synthesis, the development of algorithms to modify natural spirals to suit design intent, the modi¯cation of °exible curves (B¶ezier and NURBS) so that the curvature pro¯le is strictly monotonic and ¯nally, the development of algorithms to ¯t natural spirals and approximation via °exible curves.…”
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  4. 4
    Development and performance of modified clay nanoporous pipe for subsurface irrigation

    Development and performance of modified clay nanoporous pipe for subsurface irrigation by Abdullahi, Salisu

    Published 2021
    “…However, information on soil wetting patterns is a key requirement for understanding subsurface irrigation system design and management, even though current approaches are mathematically complex. …”
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  5. 5
    Jawi recognition system

    Jawi recognition system by Nur Aziela, Mansor

    Published 2010
    “…To improve the recognition of the character, the system uses neural network training algorithm called Supervised Learning to receive new character pattern in order to strengthen the weight of the pixels. …”
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  6. 6
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Joret, Ariffuddin Joret, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  7. 7
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Jore, Ariffuddin Jore, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  8. 8
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Liew Abdullah, Muhammad Faiz, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  9. 9
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  10. 10
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  11. 11
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Joret, Ariffuddin Joret, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  12. 12
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  13. 13
    Extending the decomposition algorithm for support vector machines training

    Extending the decomposition algorithm for support vector machines training by Zaki, N,M., Deris, S., Chin, K.K.

    Published 2003
    “…The decomposition algorithm developed by Osuna et al. (1997a) reduces the training cost to an acceptable level. …”
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  14. 14
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Sajjad Ahmed, Sajjad Ahmed, Ariffuddin Joret, Ariffuddin Joret, Norshidah Katiran, Norshidah Katiran, Muhammad Faiz Liew Abdullah, Muhammad Faiz Liew Abdullah, Zahriladha Zakaria, Zahriladha Zakaria, Muhammad Suhaimi Sulong, Muhammad Suhaimi Sulong

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  15. 15
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Sajjad Ahmed, Sajjad Ahmed, Ariffuddin Joret, Ariffuddin Joret, Norshidah Katiran, Norshidah Katiran, Muhammad Faiz Liew Abdullah, Muhammad Faiz Liew Abdullah, Zahriladha Zakaria, Zahriladha Zakaria, Muhammad Suhaimi Sulong, Muhammad Suhaimi Sulong

    Published 2023
    “…The purposed detection system operated in UWB frequency spectrum (3.1 GHz to 10.6 GHz). Furthermore, an algorithm for hidden target detection has been developed. …”
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  16. 16
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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  17. 17
    Extracting Object Oriented Software Architecture from C++ Source Code

    Extracting Object Oriented Software Architecture from C++ Source Code by Mresa, Ali Hussein A.

    Published 2000
    “…An Object-Oriented approach is used to design and implement the tool. Reverse engineering, design pattern, and graphics are the underlying techniques supplied. …”
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  18. 18
    Evaluation of spiral pattern watermarking scheme for common attacks to social media images

    Evaluation of spiral pattern watermarking scheme for common attacks to social media images by Tiew, Boon Li, Jasni, Mohamad Zain, Syifak, Izhar Hisham, Alya Afikah, Usop

    Published 2022
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  19. 19
    Face recognition using neural network

    Face recognition using neural network by Alfatihah, Abdullah

    Published 2010
    “…The system will find database image has a maximum percentage on similarity of the pattern of the image. This project is also to design a pattern recognition system by applying Neural Network Toolbox in MATLAB software.…”
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  20. 20
    A green clustering protocol for mobile sensor network using particle swarm optimization

    A green clustering protocol for mobile sensor network using particle swarm optimization by Latiff, N.M.A., NikAbdMalik, N., Latiff, A.H.A.

    Published 2016
    “…In addition, we also modify the improved version of LEACH called MLEACH-C, so that it is applicable to the mobile sensor nodes environment. …”
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