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Иш: AI-Driven Predictive Modeling for Real-Time Economic Forecasting

  1. Machine learning approaches for early prediction of diabetes using SVM classifiers

    Naina Chaudhary, Rubina Liyakat Khan, Sujit Prasad +3

    Мақола20249 иқтибос
    ABI

  2. A deep learning approach for evaluating the efficacy and accuracy of PoseNet for posture detection

    Gurinder Singh, Remya George, Nazia Ahmad +3

    Мақола20249 иқтибос
    ABI

  3. Enhancing Agricultural Productivity in Uzbekistan: Arduino-Based IoT Framework for Sunflower Seed Yield Improvement through Air and Soil Moisture Monitoring

    Danish Ather, Abu B. Bin Abdul Hamid, Noor I. Binti Ya’akub +1

    Мақола20247 иқтибос
    ABI

  4. A Comparative Analysis of Machine Learning Models: SVM, Naïve Bayes, Random Forest, and LSTM in Predictive Analytics

    Sonal Pathak, Suhail Javed Quraishi, Anupam Singh +3

    Мақола20237 иқтибос
    ABI

  5. BUSA Deep Learning Model for EEG Signal Analysis

    Varun Gupta, Danish Ather

    Мақола20247 иқтибос
    ABI

  6. Unleashing the Power of Machine Learning: A Precision Paradigm for Breast Cancer Subtype Classification Using Open-Source Data, with Caution on Dataset Size and Interpretability

    Rajan Prasad Tripathi, Sunil Kumar Khatri, Darelle van Greunen +1

    МақолаAI in cancer detection20235 иқтибос
    ABI

  7. Risk Stratification of Breast Cancer Patients: Integrating Epidemiology, Risk Factors, and Prognostic Markers for Sustainable Development

    Rajan Prasad Tripathi, Sunil Kumar Khatri, Darelle van Greunen +1

    Боб20234 иқтибос
    ABI

  8. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  9. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI