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Работы, цитирующие эту работу

Работ: 9

Работа: Deep Sentiments Analysis for Roman Urdu Dataset Using Faster Recurrent Convolutional Neural Network Model

  1. Optimizing Low-Resource Language Translation and Speech Recognition in AI Multi-lingual Virtual Assistants Using Domain Adversarial Neural Network

    Botir Elov, Муқаддас Абдурахманова, Shakhnoza Khudaykulova +5

    СтатьяNatural Language Processing Techniques2025Цитирований: 0
    ABI

  2. Adversarial Transfer Learning for Privacy-Preserving Multilingual Sentiment Detection on Social Media

    Mohammed Kadhim Rahma, Haider M. Fahim, Dilbar Usmonova +3

    СтатьяSentiment Analysis and Opinion Mining2025Цитирований: 0
    ABI

  3. Hybrid Grey Wolf Optimizer–CNN Model for High-Resolution Remote Sensing Image Classification

    Ahmed Tareq Sadiq, Ahmed Hammad, Arasuraja Ganesan +3

    СтатьяRemote-Sensing Image Classification2025Цитирований: 0
    ABI

  4. SHAP-Integrated Decision Trees for Transparent AI in Public Safety Applications

    Ismaeel Abdel Qader, Darin Shafek, Ashu Nayak +2

    СтатьяBayesian Modeling and Causal Inference2025Цитирований: 0
    ABI

  5. Graph Neural Networks for Insider Threat Detection in Corporate Networks

    Taher M. Ghazal, Amer Ibrahim, Dilmurod Nasimov +3

    СтатьяAdvanced Graph Neural Networks2025Цитирований: 0
    ABI

  6. Vision Transformer (VIT) for Satellite-Based Smart City Land Use Classification

    Ahmed A. Elngar, Ahmed Hammad, Altmisheva Yorkinoy +3

    СтатьяRemote-Sensing Image Classification2025Цитирований: 0
    ABI

  7. Sentiment Classification in Consumer Reviews Using Multinomial Naïve Bayes in E-Commerce Platforms

    Kakhramon Khakberdiev, Khayitova Feruza, Zainab A Alzarfi +2

    СтатьяSentiment Analysis and Opinion Mining2025Цитирований: 0
    ABI

  8. Modernizing Philology Education with Neural Machine Translation of Ancient Languages

    Nidal AbidAl-Hamid Al-Dmour, Yoqutxon Raxmonqulova, Khaled Shaalan +2

    СтатьяNatural Language Processing Techniques2025Цитирований: 0
    ABI

  9. Stock Market Volatility Analysis Using Temporal Convolutional Network in Financial Time Series Evaluation

    H. Shaheen, Ali Hadi, Nuriddin Rasulov +3

    СтатьяStock Market Forecasting Methods2025Цитирований: 0
    ABI