يعرض 1 - 20 نتائج من 48 نتيجة بحث عن '(((( movement data algorithm ) OR ( cooling system algorithm ))) OR ( level coding algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
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    The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers حسب Albert, Al Touma

    منشور في 2021
    "…In this study, a control algorithm for the system parameters is implemented and applied on spaces with evaporatively-cooled façade to generate the least possible façade temperature, and consequently maximum possible energy savings. …"
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    article
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    The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers حسب Albert Al Touma (17302768)

    منشور في 2021
    "…In this study, a control algorithm for the system parameters is implemented and applied on spaces with evaporatively-cooled façade to generate the least possible façade temperature, and consequently maximum possible energy savings. …"
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    Framework for rapid design and optimisation of immersive battery cooling system حسب Ali Almshahy (23544823)

    منشور في 2025
    "…Compared to a conventional 3M-Novec, the palm biodiesel achieved system lightweight by 43%. The findings can establish biofuel immersion cooling as an eco-friendly BTMS solution, achieving Pareto-optimal figures: T<sub>max</sub> < 29.9°C, ΔT < 5°C, and ΔP < 145.275 Pa (at 5C and 0.05 m/s).…"
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    Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

    منشور في 2023
    "…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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    Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

    منشور في 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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    Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

    منشور في 2024
    "…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …"
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    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

    منشور في 2006
    "…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …"
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    RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. حسب Sebastian Kruse (18595195)

    منشور في 2020
    "…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …"
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    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter حسب Syed Rahman (569240)

    منشور في 2019
    "…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"
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    Towards Scalable Process Mining Pipelines حسب Mohamed, Belal

    منشور في 2023
    "…Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. …"
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    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars حسب Abathar Al-Hamrani (16494884)

    منشور في 2023
    "…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…"
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