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  1. 1
    Loop-based RSA Key Generation Algorithm using String Identity

    Loop-based RSA Key Generation Algorithm using String Identity by Norhidayah, Muhammad, Jasni, Mohamad Zain, Md Yazid, Mohd Saman

    Published 2013
    “…This paper will propose i-RSA algorithm, this algorithm is focus on key generation algorithm. …”
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  2. 2
    Modified multi prime RSA cryptosystem

    Modified multi prime RSA cryptosystem by Kamardan, M. Ghazali, Aminudin, N., Che-Him, Norziha, Sufahani, Suliadi, Khalid, Kamil, Roslan, Rozaini

    Published 2018
    “…Thus, a new algorithm called Multi prime RSA, an extended version of the standard RSA is studied. …”
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  3. 3
    Privacy in medical emergency system: cryptographic and security aspects

    Privacy in medical emergency system: cryptographic and security aspects by Hameed, Shihab A., Yuchoch, Habib, Al-Khateeb, Wajdi Fawzi Mohammed

    Published 2010
    “…The symmetric encryption AES with encryption key of an asymmetric algorithm (RSA). The symmetric key will be generated by application tier and be encrypted by RSA algorithm. …”
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  4. 4
    Comparison of ECC and RSA algorithms in IOT devices

    Comparison of ECC and RSA algorithms in IOT devices by Vahdati, Zeinab, Md Yasin, Sharifah, Nesheli, Ali Ghasempour, Salehi, Mohammad

    Published 2019
    “…RSA (Rivest Shamir Adleman) and ECC (Elliptic Curve Cryptography) algorithms have been compared for identifying the most lightweight, secure, efficient implementation in IoT. …”
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  5. 5
    Modified Miller-Rabin primality test algorithm to detect prime numbers for generating RSA keys

    Modified Miller-Rabin primality test algorithm to detect prime numbers for generating RSA keys by Shereek, Balkees Mohamed

    Published 2016
    “…The Rivest-Shamir-Adleman algorithm (RSA) is one of the most well-known and strongest public key cryptography algorithms. …”
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  6. 6
    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. …”
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  7. 7
    Compression-RSA: new approach of encryption and decryption method

    Compression-RSA: new approach of encryption and decryption method by Chang, Ee Hung, Arif Mandangan

    Published 2013
    “…Concept of simple Continued Fraction and the new special relationship between it and Euclidean Algorithm have been applied on this newly proposed method. …”
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  8. 8
    An algorithm for Elliott Waves pattern detection

    An algorithm for Elliott Waves pattern detection by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2018
    “…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. …”
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  9. 9
    An algorithm for Elliott Waves pattern detection

    An algorithm for Elliott Waves pattern detection by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2018
    “…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. …”
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  10. 10
    AAβ public key cryptosystem - a comparative analysis against RSA and ECC

    AAβ public key cryptosystem - a comparative analysis against RSA and ECC by Kamel Ariffin, Muhammad Rezal, Mahad, Zahari

    Published 2012
    “…We provide a benchmark by practically implementing and comparing three ciphers - AAβ, RSA and ECC. This paper provides the algorithms to implement these ciphers as well as highlights the operating time and performance for varying key sizes of 128/1024/3072, 160/2048/6144 and 192/4096/12288 bits. …”
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  11. 11
    Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen

    Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen by Shawkat S.A., Tuama B.A., Al-Barazanchi I.

    Published 2023
    “…The main drawback of the 3kRSA algorithm is its computation time, while 3DES is faster than that 3kRSA. …”
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  12. 12
    Financial time series predicting using machine learning algorithms

    Financial time series predicting using machine learning algorithms by Tiong, Leslie Ching Ow *

    Published 2013
    “…Thereafter, Artificial Neural Network (ANN) and Support Vector Machine (SVM) algorithms are implemented separately to train with the trend patterns for predicting the movement direction of financial trends. …”
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  13. 13
    Machine learning predictions of stock market pattern using Econophysics approach

    Machine learning predictions of stock market pattern using Econophysics approach by Roslan, Nur Nadia Hani, Abdullah, Shahino Mah

    Published 2025
    “…Hence, this research will be using Monte Carlo Simulation and identify which machine learning algorithm is suitable for predicting stock market patterns. …”
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  14. 14
    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Chun T.S., Malek M.A., Ismail A.R.

    Published 2023
    “…Algorithms; Artificial intelligence; Biochemical oxygen demand; Bioinformatics; Developing countries; Effluent treatment; Effluents; Forecasting; Least squares approximations; Oxygen; Pattern recognition; Support vector machines; Water quality; Biological oxygen demand; Clonal selection algorithms; Least-square support vector machines; Sludge treatment plants; Total suspended solids; Chemical oxygen demand; oxygen; sewage; algorithm; clone; comparative study; effluent; least squares method; nonlinearity; pattern recognition; simulation; sludge; water treatment; activated sludge; algorithm; Article; biochemical oxygen demand; chemical oxygen demand; clonal selection algorithm; comparative study; computer simulation; effluent; forecasting; pattern recognition; prediction; regression analysis; septic sludge treatment plant; sludge treatment; statistical model; support vector machine; suspended particulate matter; waste water treatment plant; chemistry; procedures; sewage; theoretical model; Algorithms; Biological Oxygen Demand Analysis; Forecasting; Least-Squares Analysis; Models, Theoretical; Sewage; Support Vector Machines; Waste Disposal, Fluid…”
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  15. 15
    Advanced flood prediction at forest with rainfall data using various machine learning algorithms

    Advanced flood prediction at forest with rainfall data using various machine learning algorithms by M.S., Saravanan, S., Sivashankar, A., Rajesh, Mat Ibrahim, Masrullizam

    Published 2024
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  16. 16
    Market prices trend forecasting supported by Elliott Wave's theory

    Market prices trend forecasting supported by Elliott Wave's theory by Vantuch, T., Zelinka, I., Vasant, P.

    Published 2017
    “…The combination of ML algorithms and EW pattern detector achieved significantly higher performance compare to the ML algorithms only.…”
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  17. 17
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2024
    text::Final Year Project
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  18. 18
    Incremental continuous ant colony optimization for tuning support vector machine’s parameters

    Incremental continuous ant colony optimization for tuning support vector machine’s parameters by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

    Published 2013
    “…Support Vector Machines are considered to be excellent patterns classification techniques. …”
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  19. 19
    Optimizing support vector machine parameters using continuous ant colony optimization

    Optimizing support vector machine parameters using continuous ant colony optimization by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

    Published 2012
    “…Support Vector Machines are considered to be excellent patterns classification techniques.The process of classifying a pattern with high classification accuracy counts mainly on tuning Support Vector Machine parameters which are the generalization error parameter and the kernel function parameter.Tuning these parameters is a complex process and may be done experimentally through time consuming human experience.To overcome this difficulty, an approach such as Ant Colony Optimization can tune Support Vector Machine parameters.Ant Colony Optimization originally deals with discrete optimization problems. …”
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  20. 20
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2023
    text::Final Year Project
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