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Showing 1 - 20 results of 47 for search '(( code ((generation algorithm) OR (selection algorithm)) ) OR ( motion detection algorithm ))', query time: 0.12s Refine Results
  1. 1

    Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection by Serkan Kiranyaz (3762058)

    Published 2020
    “…The proposed algorithm quantifies the true wall motion occurring in LV wall segments so as to assist cardiologists diagnose early signs of an acute MI. …”
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    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

    Published 2024
    “…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …”
  3. 3

    A novel linear time corner detection algorithm by Sarfraz, M.

    Published 2005
    “…We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. …”
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  4. 4

    Minimum traffic inter-BS SHO boundary selection algorithm for CDMA-based wireless networks by Abu-Amara, M.

    Published 2004
    “…An algorithm is presented to select an inter-base station soft handoff (inter-BS SHO) boundary for code division multiple access (CDMA)-based wireless networks. …”
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    CNN and HEVC Video Coding Features for Static Video Summarization by Issa, Obada

    Published 2022
    “…During coding, 64 proposed features were generated from the coder for each frame. …”
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    LNCRI: Long Non-Coding RNA Identifier in Multiple Species by Saleh Musleh (15279190)

    Published 2021
    “…<p>The pervasive nature of long non-coding RNA (lncRNA) transcription in the mammalian genomes has changed our protein-centric view of genomes. …”
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    Generating haptic texture using solid noise by Osama Halabi (14158905)

    Published 2021
    “…In computer haptics, texture can render environments more realistic and provide useful information. In this paper, an algorithm is proposed for virtual texture simulation by using solid noise, where only a few parameters need to be altered to generate a range of realistic and diverse textures by reproducing different frequencies similar to that of real vibrational signals in a virtual environment. …”
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    Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

    Published 2024
    “…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …”
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    Practical single node failure recovery using fractional repetition codes in data centers by Itani, May

    Published 2016
    “…Node failures in distributed storage systems are becoming a critical issue, and many erasure codes are designed to handle such failures. The purpose of this paper is to evaluate fractional repetition (FR) codes, a class of regenerating codes for distributed storage systems, as a practical solution. …”
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    Four-dimensional representation and collision detection forpolytopic objects by Aliyu, M.D.S.

    Published 1998
    “…The algorithm detects in one step whether or not the objects will interfere during their motion which may involve pure translations or rotations or both…”
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  17. 17

    A new genetic algorithm approach for unit commitment by Mantawy, A.H.

    Published 1997
    “…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …”
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  18. 18

    Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators by Abu Zitar, Raed

    Published 2021
    “…DNA microarray technology is the fabrication of a single chip to contain a thousand genetic codes. Each microarray experiment can analyze many thousands of genes in parallel. …”
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    A genetic-based algorithm for fuzzy unit commitment model by Mantawy, A.H.

    Published 2000
    “…In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. …”
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