يعرض 1 - 19 نتائج من 19 نتيجة بحث عن '(( binary based based optimization algorithm ) OR ( primary data models optimization algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
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    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

    منشور في 2022
    "…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
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    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

    منشور في 2024
    "…In this MOD-POA+ELM algorithm, the modified pelican optimization algorithm (MOD-POA) has been utilized to optimize the parameters of ELM’s hidden neurons. …"
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    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications حسب Abu Zitar, Raed

    منشور في 2021
    "…In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. …"
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    Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

    منشور في 2022
    "…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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    A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

    منشور في 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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    article
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    Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan حسب AL RAWASHDEH, HANEEN MOHAMMAD

    منشور في 2017
    "…Data mining (also referred to as Data Knowledge Discovery) is the practice of examining a dataset to establish the hidden patterns and knowledge in order to represent the results in an understandable format. …"
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    Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

    منشور في 2024
    "…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …"
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    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

    منشور في 2022
    "…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"
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    A method for data path synthesis using neural networks حسب Harmanani, H.

    منشور في 2017
    "…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …"
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    conferenceObject
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    A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns حسب Md Ferdous Wahid (13485799)

    منشور في 2023
    "…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
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    From Collatz Conjecture to chaos and hash function حسب Masrat Rasool (17807813)

    منشور في 2023
    "…The design of the chaos-hash model is carefully optimized to exhibit desirable characteristics such as randomness, collision resistance, uniformity, sensitivity to initial conditions, speed, and resistance against cryptanalysis. …"