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  1. 1
    Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges

    Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges by Abubakar, Adamu, Jabaka, Shehu, Tijani, Bello Idrith, Zeki, Akram M., Chiroma, Haruna, Usman, Mohammed Joda, Raji, Shakirat, Mahmud, Murni

    Published 2014
    “…This paper presents the issues and challenges on some key aspects of cryptanalytic attacks on RSA algorithm. …”
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  2. 2
    Class binarization with self-adaptive algorithm to improve human activity recognition

    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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  3. 3
    Introducing S-index into factoring RSA modulus via Lucas sequences

    Introducing S-index into factoring RSA modulus via Lucas sequences by Abu, Nur Azman, Salim, Fadzilah, Kamel Ariffin, Muhammad Rezal

    Published 2017
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  4. 4
    Security issues of Novel RSA variant

    Security issues of Novel RSA variant by Nitaj, Abderrahmane, Kamel Ariffin, Muhammad Rezal, Adenan, Nurul Nur Hanisah, Lau, Terry Shue Chien, Che, Jiahui

    Published 2022
    “…The RSA is one of the current default cryptosystems that provides security with applications such as encryptions and digital signatures. …”
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  5. 5
    Comparison between RSA hardware and software implementation for WSNs sexcurity schemes

    Comparison between RSA hardware and software implementation for WSNs sexcurity schemes by Md. Tap, Abu Osman, Manttoro, Teddy, Alkalbani, Abdullah Said

    Published 2010
    “…In this study we compare the time complexity and power consumption between software and hardware implementation using RSA algorithm. Our simulation shows that usage of hardware security could improve time efficiency and decrease the power consumption, so the strong cryptography can be implemented in WSNs security.…”
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    Proceeding Paper
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  6. 6
    The Fourth Order Linear Recurrence Sequence For RSA Type Cryptosystem

    The Fourth Order Linear Recurrence Sequence For RSA Type Cryptosystem by Wong, Tze Jin

    Published 2006
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  7. 7
    New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study

    New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study by Norhidayah, Muhammad, Jasni, Mohamad Zain, Md Yazid, Mohd Saman

    Published 2012
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  8. 8
    Text encryption using Elliptic Curve Cryptography (ECC) over binary finite field and Elgamal Cryptosyste / Ahmad Asif Bakhtiar Noor Noor Hamid, Nor Syazwani Nor Zailan and Syaza Farlisa Ishak

    Text encryption using Elliptic Curve Cryptography (ECC) over binary finite field and Elgamal Cryptosyste / Ahmad Asif Bakhtiar Noor Noor Hamid, Nor Syazwani Nor Zailan and Syaza Fa... by Noor Hamid, Ahmad Asif Bakhtiar Noor, Nor Zailan, Nor Syazwani, Ishak, Syaza Farlisa

    Published 2019
    “…Cryptography consists of some algorithms but the most common algorithms that had been used are Elliptic Curve Cyptography (ECC) and Rivest-Shamir-Adleman (RSA). …”
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  9. 9
    A true random number generator for crypto embedded systems

    A true random number generator for crypto embedded systems by M.Thamrin, Norashikin, Ahmad, Illiasaak, Hani, Mohamed Khalil

    Published 2006
    “…Random number generators (RNG) are required to generate public/private key pairs for asymmetric algorithm such as RSA and symmetric algorithm such as AES. …”
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  10. 10
    E4ML: Educational Tool for Machine Learning

    E4ML: Educational Tool for Machine Learning by Sainin, Mohd Shamrie, Siraj, Fadzilah

    Published 2003
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  11. 11
    Simulation of quantum growing network / Ong Boon Teong

    Simulation of quantum growing network / Ong Boon Teong by Ong , Boon Teong

    Published 2003
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  12. 12
    Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective

    Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective by Abubakar, Adamu, Ya’u Gital, Abdulsalam, Chiroma, Haruna, Rana, Nadim, Abdulhamid, Shafi’i, Muhammad, Amina Nuhu, Umar, Aishatu Yahaya

    Published 2019
    “…In this paper, we present recent progress on the application of nature inspired algorithms in deep learning. …”
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  13. 13
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
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  14. 14
    Efficient selective encryption schemes to secure video data and moving objects information for HEVC/H.265 using advanced encryption standard / Mohammed Ahmed Mohammed Saleh

    Efficient selective encryption schemes to secure video data and moving objects information for HEVC/H.265 using advanced encryption standard / Mohammed Ahmed Mohammed Saleh by Mohammed Saleh, Mohammed Ahmed

    Published 2016
    “…All of those encryption algorithms are classified as asymmetric and symmetric algorithms. …”
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  15. 15
    Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network

    Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network by Azian Azamimi, Uwate, Yoko, Nishio, Yoshifumi

    Published 2010
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  16. 16
    Comparative performance of deep learning and machine learning algorithms on imbalanced handwritten data

    Comparative performance of deep learning and machine learning algorithms on imbalanced handwritten data by Amri, A’inur A’fifah, Ismail, Amelia Ritahani, Zarir, Abdullah Ahmad

    Published 2018
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  17. 17
    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)

    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM) by Shamim, Akhtar

    Published 2024
    “…The scope of this study is tri folded, First, an exhaustive and parametric comparative study on a wide variety of machine learning algorithms is presented to evaluate the performance of machine learning algorithms in energy load prediction. …”
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  18. 18
    Comparison between Lamarckian Evolution and Baldwin Evolution of neural network

    Comparison between Lamarckian Evolution and Baldwin Evolution of neural network by Taha, Imad, Inazy, Qabas

    Published 2006
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  19. 19
    Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018?2023)

    Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018?2023) by Hosseini E., Al-Ghaili A.M., Kadir D.H., Gunasekaran S.S., Ahmed A.N., Jamil N., Deveci M., Razali R.A.

    Published 2025
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  20. 20
    Propose a New Machine Learning Algorithm based on Cancer Diagnosis

    Propose a New Machine Learning Algorithm based on Cancer Diagnosis by Ali, Mohammed Hasan, Kohbalan, Moorthy, Anad, Mohammed Morad, Mohammed, Mohammed Abdulameer

    Published 2018
    “…In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.…”
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