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يعرض 1 - 20 نتائج من 511 نتيجة بحث عن '(( back learn data processing ) OR ( based learning ((dl processing) OR (_ processing)) ))', وقت الاستعلام: 0.19s تنقيح النتائج
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    A Deep Learning based Process Model for Crack Detection in Pavement Structures حسب Rababaah, Aaron

    منشور في 2022
    "…This paper presents an investigation of the effectiveness of a Machine Deep Learning (DL) model using Convolution Neural Networks (CNN) in detecting cracks in asphalt pavement. …"
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    Using machine learning architecture to optimize and model the treatment process for saline water level analysis حسب Arumugam, Mahendran

    منشور في 2023
    "…This research proposed a novel method for optimization and modelling of the treatment process for saline water based on water level data analysis using machine learning (ML) techniques. …"
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    Detection of central serous retinopathy using deep learning through retinal images حسب Syed Ale Hassan (17785655)

    منشور في 2023
    "…This research proposes a deep learning-based CSR detection employing two imaging techniques: OCT and fundus photography. …"
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    Integrating rule-based approach and machine learning approach for arabic named entity recognition حسب Oudah, Mai Mohamed

    منشور في 2012
    "…Most of Arabic NER systems have been developed using mainly two types of approaches including Rule-based approach and Machine Learning based approach. …"
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    Deep Learning for the Extraction of Aspects in Textual Opinions حسب ALSEREIDI, MOHAMED SOHAIL

    منشور في 2023
    الموضوعات: "…aspect-based sentiment analysis, deep learning, sentiment analysis, natural language processing, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), rule-based methods, textual opinions…"
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    Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials حسب Abdul Wahab Ziaullah (16027076)

    منشور في 2023
    "…We achieve this objective through a batch optimization technique based on faux-data injection in the BO loop. In the approach at each candidate suggestion from a typical BO loop, we “predict” the outcome, instead of running the actual experiment or DFT calculation, forming a “faux-data-point” and injecting it back to update an ML model. …"
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    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis حسب Hassan, Ali

    منشور في 2023
    "…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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    article
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    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

    منشور في 2018
    "…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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    masterThesis
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    Enhancing the learning-to-drive process for autistic learners in Qatar حسب Wondwesen Girma Mamo (15294170)

    منشور في 2024
    "…The study consisted of three progressive phases: (1) Assess driving instructors' prior knowledge and practices regarding autism and driving. (2) Explore driving instructors' knowledge on autism and driving before and after an evidence-based workshop. (3) Compare the learning-to-drive process for autistic learners following 28 days of driving lessons from trained driving instructors to non-trained driving instructors. …"
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    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis حسب Hassan Ali (3348749)

    منشور في 2023
    "…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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    Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection حسب Shakeel Ahmad (702854)

    منشور في 2024
    "…The study reviews traditional phishing detection methods, ML and DL models, phishing datasets, and the step-by-step phishing process. …"