يعرض 1 - 10 نتائج من 16 نتيجة بحث عن '"Kibria, Hafsa Binte"', وقت الاستعلام: 0.68s تنقيح النتائج
  1. 1
    تقرير
    The Severity Prediction of The Binary And Multi-Class Cardiovascular Disease -- A Machine Learning-Based Fusion Approach

    المؤلفون: Kibria, Hafsa Binte, Matin, Abdul

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

    الوصول الحر: http://arxiv.org/abs/2203.04921Test

    View record in Arxiv

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  2. 2
    مؤتمر
    Feature Selection-Based Machine Learning Approaches for Detecting Android Malware with Explainable AI

    المؤلفون: Habib, Mahbuba, Kibria, Hafsa Binte

    المصدر: 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

    الإتاحة: https://doi.org/10.1109/icaeee62219.2024.10561751Test
    http://xplorestaging.ieee.org/ielx8/10561631/10561632/10561751.pdf?arnumber=10561751Test

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  3. 3
    دورية أكاديمية
    An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI

    المؤلفون: Kibria, Hafsa Binte, Nahiduzzaman, Md, Goni, Md Omaer Faruq, Ahsan, Mominul, Haider, Julfikar

    المساهمون: Ieracitano, Cosimo, Mahmud, Mufti, Doborjeh, Maryam, Lay-Ekuakille, Aimé

    وصف الملف: text

    العلاقة: https://e-space.mmu.ac.uk/630437Test/; https://www.mdpi.com/1424-8220/22/19/7268Test; https://e-space.mmu.ac.uk/630437/1/sensors-22-07268.pdfTest; Kibria, Hafsa Binte , Nahiduzzaman, Md , Goni, Md Omaer Faruq , Ahsan, Mominul and Haider, Julfikar (2022) An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI. Sensors, 22 (19). p. 7268. ISSN 1424-8220

    الإتاحة: https://e-space.mmu.ac.uk/630437/1/sensors-22-07268.pdfTest

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  4. 4
    دورية أكاديمية
    Forecasting the spread of the third wave of COVID-19 pandemic using time series analysis in Bangladesh

    المؤلفون: Kibria, Hafsa Binte, Jyoti, Oishi, Matin, Abdul

    المصدر: Informatics in Medicine Unlocked ; volume 28, page 100815 ; ISSN 2352-9148

    مصطلحات موضوعية: Health Informatics

    الإتاحة: https://doi.org/10.1016/j.imu.2021.100815Test
    https://api.elsevier.com/content/article/PII:S235291482100280X?httpAccept=text/xmlTest
    https://api.elsevier.com/content/article/PII:S235291482100280X?httpAccept=text/plainTest

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  5. 5
    مؤتمر
    YOLOv8 Based Object Detection for Self-driving Cars

    المؤلفون: Afrin, Zakia, Tabassum, Fariya, Kibria, Hafsa Binte, Imam, MD. Rafi, Hasan, Md. Rokibul

    المصدر: 2023 26th International Conference on Computer and Information Technology (ICCIT)

    الإتاحة: https://doi.org/10.1109/iccit60459.2023.10441381Test
    http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441381.pdf?arnumber=10441381Test

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  6. 6
    مؤتمر
    Enhancing Stroke Prediction through Interpretable AI: Distinguishing Stroke Cases from Non-Stroke Cases

    المؤلفون: Islam, Nazmin, Kibria, Hafsa Binte

    المصدر: 2023 6th International Conference on Electrical Information and Communication Technology (EICT)

    الإتاحة: https://doi.org/10.1109/eict61409.2023.10427860Test
    http://xplorestaging.ieee.org/ielx7/10426791/10427566/10427860.pdf?arnumber=10427860Test

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  7. 7
    مؤتمر
    Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray

    المؤلفون: Kibria, Hafsa Binte, Hossain, Md. Ali

    المصدر: 2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

    الإتاحة: https://doi.org/10.1109/cce60043.2023.10332884Test
    http://xplorestaging.ieee.org/ielx7/10332458/10332802/10332884.pdf?arnumber=10332884Test

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  8. 8
    كتاب
    Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications

    المؤلفون: Islam, Sanzida, Matin, Abdul, Kibria, Hafsa Binte

    المصدر: Intelligent Computing & Optimization ; Lecture Notes in Networks and Systems ; page 397-406 ; ISSN 2367-3370 2367-3389 ; ISBN 9783030932466 9783030932473

    الإتاحة: https://doi.org/10.1007/978-3-030-93247-3_39Test

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  9. 9
    دورية أكاديمية
    The severity prediction of the binary and multi-class cardiovascular disease − A machine learning-based fusion approach

    المؤلفون: Kibria, Hafsa Binte, Matin, Abdul

    المصدر: Computational Biology and Chemistry ; volume 98, page 107672 ; ISSN 1476-9271

    مصطلحات موضوعية: Computational Mathematics, Organic Chemistry, Biochemistry, Structural Biology

    الإتاحة: https://doi.org/10.1016/j.compbiolchem.2022.107672Test
    https://api.elsevier.com/content/article/PII:S1476927122000524?httpAccept=text/xmlTest
    https://api.elsevier.com/content/article/PII:S1476927122000524?httpAccept=text/plainTest

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  10. 10
    كتاب
    An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease

    المؤلفون: Kibria, Hafsa Binte, Matin, Abdul

    المصدر: Advances in Intelligent Systems and Computing ; Intelligent Computing and Optimization ; page 1097-1110 ; ISSN 2194-5357 2194-5365 ; ISBN 9783030681531 9783030681548

    الإتاحة: https://doi.org/10.1007/978-3-030-68154-8_92Test

    View record in BASE

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