Showing 1 - 20 results of 270 for search '(((( implement system algorithm ) OR ( elements data algorithm ))) OR ( level finding algorithm ))', query time: 0.14s Refine Results
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    The Role of KM in Enhancing AI Algorithms and Systems by AlGhanem, Hani

    Published 2020
    “…The current study shows the relation between KM processes and AI systems from a higher perspective, giving different options to apply other KM processes for the same AI algorithm to reduce any implementation challenges and enhance the adoption level. …”
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    Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation by Abualigah, Laith

    Published 2023
    “…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …”
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    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

    Published 2016
    “…These discriminative motifs can be further studied to understand their role both at the evolutionary and disease levels.…”
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    masterThesis
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    Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images by Abu Zitar, Raed

    Published 2023
    “…These techniques work well for bi-level thresholding, but when used to find the appropriate thresholds for multi-level thresholding, there will be issues with long calculation times, high computational costs, and the need for accuracy improvements. …”
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    Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm by Abdelbasset Krama (16870008)

    Published 2018
    “…The latter attempts to reduce the size and cost of the system as well as providing better performance. In addition, it can be implemented in a low-cost control platform due to its simplicity. …”
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    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 2023
    “…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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    Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS) by Kouatli, Issam

    Published 2014
    “…This paper describes the implementation of a hybridized intelligent algorithm to reach a decision under uncertainty and to tune the possible solution using genetic algorithm. …”
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    conferenceObject
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    Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge by Leonel Sousa (19645372)

    Published 2021
    “…This special Section is exactly focused on addressing challenges raised by moving computation to the edge in a holistic way, by examining not only challenges related to algorithmic consideration and computational requirements but also circuits and systems and hardware platforms suitable for such implementation. …”
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    Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant by Shahbaz Hussain (9765320)

    Published 2019
    “…The novelty of this work is the parallel implementation of PSO and GA techniques in MATLAB environment employed for the same systems. …”
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    Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv... by Atif Iqbal (5504636)

    Published 2019
    “…Topology offers a reduced switch count solution with simple control strategy compared to the existing seven-level inverters. Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …”