يعرض 1 - 20 نتائج من 73 نتيجة بحث عن '(( back learn data processing ) OR ( based learning ((dl processing) OR (text processing)) ))', وقت الاستعلام: 0.17s تنقيح النتائج
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    Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

    منشور في 2023
    "…For the dataset to be regarded as a benchmark, Fleiss’s Kappa metric was adopted to measure the inter-annotator agreement (IAA), and the results show that the total Fleiss Kappa coefficient is = 0.869 with a p-value of 10-3, indicating near-perfect agreement among the three annotators. The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies. …"
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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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    Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects حسب A. Al Shamsi, Arwa

    منشور في 2023
    "…The proposed ensemble stacking deep learning model was assessed on four datasets, three versions of the ESAAD Emirati Sentiment Analysis Annotated Dataset, two versions of Twitter-based Benchmark Arabic Sentiment Analysis Dataset (ASAD), an Arabic Company Reviews dataset, and an English dataset known as a Preprocessed Sentiment Analysis Dataset PSAD. …"
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    Deep Learning for the Extraction of Aspects in Textual Opinions حسب ALSEREIDI, MOHAMED SOHAIL

    منشور في 2023
    "…This study aimed to explore the effectiveness of deep learning models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer-based models, and Graph Neural Networks (GNNs), in aspect-based sentiment analysis (ABSA) of textual opinions. …"
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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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    Text-to-picture tools, systems, and approaches: a survey حسب Jezia Zakraoui (14151399)

    منشور في 2019
    "…We also compared these systems based on a set of criteria, mainly natural language processing, natural language understanding, and input/output modalities. …"
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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. …"
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    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect حسب Habeeb, Abdallah

    منشور في 2022
    "…Based on the need to work on Arabic text sentiment analysis problem, the case of the Jordanian dialect. …"
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    Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials حسب Abdul Wahab Ziaullah (16027076)

    منشور في 2023
    "…Among the mechanics of a BO is the use of a machine learning (ML) model that learns about the scope of the problem through data being acquired on the fly. …"