Search Results - (( java segmentation using algorithm ) OR ( using minimum rsa algorithm ))

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    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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    Thesis
  3. 3

    Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Mohamed, Raihani

    Published 2018
    “…Consequently, this paper proposes a ranking self-adaptive differential evolution (rsaDE) feature selection algorithm. The proposed algorithm is capable of selecting the optimal feature subsets while improving the recognition of acceleration activity using a minimum number of features. …”
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  4. 4

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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    A reduced τ-adic Naf (RTNAF) representation for an efficient scalar multiplication on Anomalous Binary Curves (ABC) by Yunos, Faridah, Mohd Atan, Kamel Ariffin, Kamel Ariffin, Muhammad Rezal, Md. Said, Mohamad Rushdan

    Published 2014
    “…Solinas (1997) proposes that the τ-adic Non-Adjacent Form (τ-NAF) is one of the most efficient algorithms used to compute scalar multiplications on Anomalous Binary curves. …”
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    Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture by Chang, Boon Chiao

    Published 2018
    “…CPU implementations are becoming less efficient in handling the computation of crypto algorithms. Hence, other contemporary processor architectures such as GPU and FPGA have become popular alternative to speed up the computation in recent years.This dissertation first discusses several existing large integer multiplication algorithms and reviews different methods used to implement thediscussed algorithms done by other researchers in both Graphic Processing Unit (GPU) and Field Programmable Gate Array (FPGA).Compared to GPU, FPGA offered more low level design and development to the implementation. …”
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