Search Results - (( simulation optimization encryption algorithm ) OR ( java applications tree algorithm ))

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  1. 1

    A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohammad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…A new hybrid technique, Lorenz chaotic system and an optimization algorithm, Simulated Kalman Filter (SKF) had been proposed to solve image encryption problem. …”
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    Conference or Workshop Item
  2. 2

    Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment by Khalifa, Othman Omran, Ahmed, Muhammed Zaharadeen, Hassan Abdalla Hashim, Aisha

    Published 2024
    “…This paper presents the design, simulation, and performance measurement of Simon encryption algorithm in IoT environment. …”
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    Proceeding Paper
  3. 3

    A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2023
    “…Then, this study aims to optimize the hyperparameters of the developed DNN model using the Arithmetic Optimization Algorithm (AOA) and, lastly, to evaluate the performance of the newly proposed deep learning model with Simulated Kalman Filter (SKF) algorithm in solving image encryption application. …”
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    Thesis
  4. 4

    OPTIMIZATION OF TWO FISH ENCRYPTION ALGORITHM ON FPGA by DORE RAJA, ANAND A RAJA

    Published 2004
    “…The demand for efficient and secure ciphers has given rise to a new generation of block ciphers capable of providing increased protection at lower cost. Among these new algorithms is Twofish. Twofish is a promising 128-bit block which was one of the 5 finalists in the National Institute of Standards and Technology organized competition as the Advanced Encryption Standard. …”
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    Final Year Project
  5. 5

    OPTIMIZATION OFADVANCEDENCRYPTION STANDARD (AES) IN FPGA IMPLEMENTATION USING S-BOX INTEGRATION by Lee, Yi Lin

    Published 2004
    “…Thus, in this project, the AES cryptograph was simulated with FPGA, by using Verilog HDL. The main objectives are the architectural and algorithmic optimizations of the AES implementation, which would in turn benefit applications that are both speed and area critical. …”
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    Final Year Project
  6. 6

    Optimization Of Twofish Encryption Algorithm On FPGA by Raja, Ananda Raja Dore, Zain Ali, Noohul Basheer, Hussin, Fawnizu Azmadi

    Published 2005
    “…The demand for efficient and secure ciphers has given rise to a new generation of block ciphers capable of providing increased protection at lower cost. Among these new algorithms is Twofish. Twofish is a promising 128-bit block which was one of the 5 finalists in the National Institute of Standards and Technology organized competition as the Advanced Encryption Standard. …”
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    Conference or Workshop Item
  7. 7
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    Cryptographic protection of block-oriented storage devices using AES-XTS in FPGA by Ahmed, Shakil

    Published 2013
    “…For an effective storage encryption implementation, two well known methods are software based encryption and hardware based encryption. …”
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    Thesis
  10. 10

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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    Article
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    Design of an Ultra High Speed AES Processor for Next Generation IT Security. by Aris, Ishak, Ali, Liakot, Hossain, Fakri Sharif, Roy, Niranjan

    Published 2011
    “…The proposed design addresses the next generation IT security requirements: the resistance against all crypto-analytical attacks and high speed with low latency. This work optimizes AES algorithm to eliminate algebraic operations from the datapath, which contributes to achieve ultra high speed and to reduce the latency. …”
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    Article
  14. 14

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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    Thesis
  15. 15

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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    Conference or Workshop Item
  16. 16

    An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network by Ramli, Sofia Najwa

    Published 2016
    “…The proposed model is developed and simulated on Matlab based on an improved fuzzy vault scheme with a lightweight error correction algorithm to reduce the computational complexity when compared to previous work. …”
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    Thesis
  17. 17

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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    Article
  18. 18

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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    Article
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