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18 ta ish

Ish: Using a Combination of Otsu Segmentation, Cubic Spline, and Gaussian Filter in Ultrasonography Image Processing for Gallbladder Stone Identification

  1. Predicting students’ future final exam results using machine learning algorithms: A comparative analysis

    Soxobiddin Akhatkulov, O.R. Yusupov, Alisher Omonov

    MaqolaOnline Learning and AnalyticsAIP conference proceedings202429 iqtibos
    ABI

  2. Advanced Noise-Resistant Electrogastroenterological Classification Employing Convolutional Neural Networks and Hybrid Wavelet Transform Denoising

    L. Ya. Xuramov, Alisher B. Baxromo, Mashrab E. Sanayev

    MaqolaImage and Signal Denoising Methods202518 iqtibos
    ABI

  3. The Distribution Algorithm of Data Flows Based on the BIRCH Clustering in the Internal Distribution Mechanism

    Akbar Rashidov, Akmal Akhatov, Dilmurod Mardonov

    MaqolaStatistical and Computational Modeling202418 iqtibos
    ABI

  4. A Machine Learning Framework for Forecasting Air Quality Index

    Sokhobiddin Akhatkulov, Islom Yalgoshev

    MaqolaAir Quality Monitoring and Forecasting202514 iqtibos
    ABI

  5. Calculating Singular Integrals with Cauchy Kernels in Digital Processing of Gastroenterological Medical Signals

    Latif Xuramov, Shahnoza Xafizova, Muhammad Mustaffaqulov

    MaqolaImage and Signal Denoising Methods202514 iqtibos
    ABI

  6. Mechanisms For Using Image Properties And Neural Networks In Identification Of Micro-Objects

    Isroil I. Jumanov, Rustam A. Safarov, Olimjon I Djumanov

    MaqolaReligion and Sociopolitical Dynamics in Nigeria202211 iqtibos
    ABI

  7. Evaluation of Signals Before and After Filtration in the Process of Filling and Heating Water in the Smart Home System

    Damira Hodjaeva, Latif Xuramov

    MaqolaSmart Grid Energy Management20259 iqtibos
    ABI

  8. Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

    Serkan Kıranyaz, Türker İnce, Moncef Gabbouj

    Maqola20159 iqtibos
    ABI

  9. De-noising by soft-thresholding

    David L. Donoho

    Maqola19959 iqtibos
    ABI

  10. An Approach Based on Data Profiling at the Preparing a Dataset for Cleaning

    Dilshod Junaydullaev, Sherzod Tursunov, Akbar Rashidov

    MaqolaStatistical and Computational Modeling20258 iqtibos
    ABI

  11. Review of noise removal techniques in ECG signals

    Shubhojeet Chatterjee, Rini Smita Thakur, Ram Narayan Yadav +2

    Maqola20207 iqtibos
    ABI

  12. A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT

    Somaraju Boda, Manjunatha Mahadevappa, Pranab Kumar Dutta

    Maqola20217 iqtibos
    ABI

  13. ECG signal denoising based on Empirical Mode Decomposition and moving average filter

    Sonali Sonali, Omkar Singh, Ramesh Kumar Sunkaria

    Maqola20136 iqtibos
    ABI

  14. Update to Practice Standards for Electrocardiographic Monitoring in Hospital Settings: A Scientific Statement From the American Heart Association

    Kristin E. Sandau, Marjorie Funk, Andrew D. Auerbach +10

    Sharh maqola20176 iqtibos
    ABI

  15. A new approach for arrhythmia classification using deep coded features and LSTM networks

    Özal Yıldırım, Ulaş Baran Baloğlu, Ru‐San Tan +2

    Maqola20196 iqtibos
    ABI

  16. ECG Baseline Wander Correction Based on Mean-median Filter and Empirical Mode Decomposition

    Yi Xin, Yu Chen, Wei Tuo Hao

    Maqola20145 iqtibos
    ABI

  17. Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection

    Nitish V. Thakor, Yongsheng Zhu

    Maqola19915 iqtibos
    ABI

  18. Review of "Advanced Methods and Tools for ECG Data Analysis", by Gari D. Clifford, Francisco Azuaje and Patrick E. McSharry (Editors)

    Ivan Dotsinsky

    Maqola20073 iqtibos
    ABI