يعرض 421 - 440 نتائج من 728 نتيجة بحث عن '(( elements means algorithm ) OR ((( data using algorithm ) OR ( data learning algorithm ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 421

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth Kunhoth (14158908)

    منشور في 2023
    "…The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …"
  2. 422

    Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection حسب Ajaj, Mohamad

    منشور في 2024
    "…Federated Learning (FL) has emerged as a promising framework for collaborative model training across distributed devices without centralizing sensitive data. …"
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    masterThesis
  3. 423
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    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations حسب Shameem A. Puthiya Parambath (14150997)

    منشور في 2022
    "…The best available recommendation algorithms are based on using the observed preference information among collaborating entities. …"
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    Diagnosing failed distribution transformers using neural networks حسب Farag, A.S.

    منشور في 2001
    "…The ANN was trained utilizing backpropagation algorithm using a real (out of the field) data obtained from utilities distribution networks transformer's failures. …"
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    article
  9. 429
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    Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method حسب Mohamed Massaoudi (16888710)

    منشور في 2021
    "…The hyper-parameters of the proposed stacking ensemble are carefully tuned using the tree-structured of parzen estimators algorithm to achieve top-notch predictive performance. …"
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    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study حسب Muhammad Atif Butt (10849980)

    منشور في 2023
    "…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …"
  13. 433

    A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks حسب Sakib Mahmud (15302404)

    منشور في 2025
    "…Deep reinforcement learning (DRL) offers a data-driven alternative that couples perception with sequential decision-making. …"
  14. 434

    Efficient Seismic Volume Compression using the Lifting Scheme حسب Khene, M. F.

    منشور في 2000
    "…As the approximation coefficients represent a smooth low-resolution version of the input data they are only quantized using a uniform scalar quantizer (USQ). …"
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    article
  15. 435

    Using Social Network Analysis to Study Business Partnerships حسب KARIM, ROLA RASHAD ARIF ABDUL

    منشور في 2018
    "…The resulting weighted undirected network is analysed using community detection algorithms. Characteristics of the top seven communities discovered from the 2015 data are discussed for which common social network motifs are captured. …"
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  16. 436
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    Precision nutrition: A systematic literature review حسب Daniel Kirk (17302798)

    منشور في 2021
    "…Therefore, we carried out a Systematic Literature Review (SLR) to provide an overview of where and how machine learning has been used in Precision Nutrition from various aspects, what such machine learning models use as input features, what the availability status of the data used in the literature is, and how the models are evaluated. …"
  18. 438

    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

    منشور في 2025
    "…ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …"
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    article
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