يعرض 1 - 12 نتائج من 12 نتيجة بحث عن '(( binary data model optimization algorithm ) OR ( data sampling design optimization algorithm ))', وقت الاستعلام: 0.11s تنقيح النتائج
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    A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm حسب Amirsajjad Rahmani (17541453)

    منشور في 2023
    "…In this study, features were extracted from signals in time, frequency, and time–frequency domains. The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …"
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    Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks حسب Amirhossein Taherpour (19273879)

    منشور في 2024
    "…Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. …"
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    A method for data path synthesis using neural networks حسب Harmanani, H.

    منشور في 2017
    "…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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    Framework for rapid design and optimisation of immersive battery cooling system حسب Ali Almshahy (23544823)

    منشور في 2025
    "…Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. …"
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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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    Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes حسب Muhammad Mohsin Khan (22150360)

    منشور في 2025
    "…We evaluated thirteen machine learning models at each stage, selecting the top-performing classifiers to optimize results. …"
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    Just-in-time defect prediction for mobile applications: using shallow or deep learning? حسب Raymon van Dinter (10521952)

    منشور في 2023
    "…In this research, we evaluate the performance of traditional machine learning algorithms and data sampling techniques for JITDP problems and compare the model performance with the performance of a DL-based prediction model. …"
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