يعرض 221 - 240 نتائج من 527 نتيجة بحث عن '(((( developing based algorithm ) OR ( elements data algorithm ))) OR ( deep learning algorithm ))', وقت الاستعلام: 0.17s تنقيح النتائج
  1. 221

    Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions حسب Liu, Wenpeng

    منشور في 2017
    "…For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. …"
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    conferenceObject
  2. 222

    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms حسب Md Ferdous Wahid (13485799)

    منشور في 2022
    "…<p dir="ltr">Pressure gradient (PG) in liquid-liquid flow is one of the key components to design an energy-efficient transportation system for wellbores. This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"
  3. 223

    Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches حسب Abdulla Alhajeri, Rashed

    منشور في 2020
    "…It is important to choose the right cleaning strategy (method and frequency) to maximize the electricity production and economic performance of the PV facility. An optimization algorithm was developed and tested for multiple PV panel configurations based in Dubai Water and Electricity Authority’s (DEWA) outdoor test facil ity (OTF) solar lab. …"
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  4. 224

    Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches حسب ALHAJERI, RASHED ABDULLA

    منشور في 2018
    "…To optimize the cleaning practices, an algorithm was developed by the author based on the literature review and economic analysis, and was run for multiple panels and tilts at the DEWA OTF solar lab in Dubai, UAE. …"
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    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

    منشور في 2024
    "…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …"
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    article
  9. 229

    Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm حسب Ali S. Alghamdi (17541711)

    منشور في 2023
    "…The standard ARO algorithm is developed to mimic the foraging behavior of rabbits, and in this work, the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight technique. …"
  10. 230

    A localized navigation algorithm for radiation evasion for nuclear facilities: Optimizing the "Radiation Evasion" criterion: Part I حسب Khasawneh, Mohammad

    منشور في 2013
    "…When used to navigate based on local radiation information, the algorithm will behave more reliably when accidents happen, since no long-haul communication links are required for information exchange. …"
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    article
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    Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

    منشور في 2019
    "…The performance, in regards to accuracy and F1 score of the machine learning algorithms, was also superior to the device’s native algorithm and comparable to human annotation. …"
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    Pedestrian Lane Detection for Assistive Navigation of Vision-Impaired People: Survey and Experimental Evaluation حسب Yunjia Lei (19517725)

    منشور في 2022
    "…Our study covers traditional and deep learning methods for pedestrian lane detection, general road detection, and general semantic segmentation. …"
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    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

    منشور في 2024
    "…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …"
  20. 240

    Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces حسب Uzair Sajjad (19646296)

    منشور في 2021
    "…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …"