يعرض 1 - 10 نتائج من 135 نتيجة بحث عن '"Popescu, Nirvana"', وقت الاستعلام: 0.79s تنقيح النتائج
  1. 1
    كتاب
    Deep Learning in Smart eHealth Systems ; Evaluation Leveraging for Parkinson’s Disease

    المؤلفون: Channa, Asma, Popescu, Nirvana

    المصدر: SpringerBriefs in Computer Science ; ISSN 2191-5768 2191-5776 ; ISBN 9783031450020 9783031450037

    الإتاحة: https://doi.org/10.1007/978-3-031-45003-7Test

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  2. 2
    مؤتمر
    Parkinson's Disease Severity Estimation using Deep Learning and Cloud Technology

    المؤلفون: Channa Asma, Ruggeri Giuseppe, Mammone Nadia, Ifrim Rares-Cristian I, Iera Antonio, Popescu Nirvana

    العلاقة: info:eu-repo/grantAgreement/EC/H2020/813278/; https://zenodo.org/communities/a_wearTest; https://zenodo.org/record/7020693Test; https://doi.org/10.1109/COINS54846.2022.9854945Test; oai:zenodo.org:7020693

    الإتاحة: https://doi.org/10.1109/COINS54846.2022.9854945Test
    https://zenodo.org/record/7020693Test

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  3. 3
    دورية أكاديمية
    Cloud-Connected Bracelet for Continuous Monitoring of Parkinson's Disease Patients: Integrating Advanced Wearable Technologies and Machine Learning.

    المؤلفون: Channa, Asma, Ruggeri, Giuseppe, Ifrim, Rares-Cristian, Mammone, Nadia, Iera, Antonio, Popescu, Nirvana

    المصدر: Electronics (2079-9292); Mar2024, Vol. 13 Issue 6, p1002, 26p

    مصطلحات موضوعية: PARKINSON'S disease, WEARABLE technology, MACHINE learning, BRACELETS, CLOUD storage

    النص الكامل

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  4. 4
    دورية أكاديمية
    Medical Image-Based Diagnosis Using a Hybrid Adaptive Neuro-Fuzzy Inferences System (ANFIS) Optimized by GA with a Deep Network Model for Features Extraction.

    المؤلفون: Rashed, Baidaa Mutasher1 (AUTHOR) rashed.baidaa@stud.acs.upb.ro, Popescu, Nirvana1 (AUTHOR) rashed.baidaa@stud.acs.upb.ro

    المصدر: Mathematics (2227-7390). Mar2024, Vol. 12 Issue 5, p633. 32p.

    مصطلحات موضوعية: *DEEP learning, *METAHEURISTIC algorithms, *FEATURE extraction, *OPTIMIZATION algorithms, *FEATURE selection, *DIAGNOSIS, *STANDARD deviations

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  5. 5
    دورية أكاديمية
    Parkinson's disease resting tremor severity classification using machine learning with resampling techniques

    المؤلفون: Channa, Asma, Cramariuc, Oana, Memon, Madeha, Popescu, Nirvana, Mammone, Nadia, Ruggeri, Giuseppe

    المصدر: Frontiers in Neuroscience ; volume 16 ; ISSN 1662-453X

    الإتاحة: https://doi.org/10.3389/fnins.2022.955464Test

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  6. 6
    مؤتمر
    Robust Technique to Detect COVID-19 using Chest X-ray Images

    المؤلفون: Channa, Asma, Popescu, Nirvana, Malik, Najeeb ur Rehman

    المصدر: 2020 International Conference on e-Health and Bioengineering (EHB)

    الإتاحة: https://doi.org/10.1109/ehb50910.2020.9280216Test
    http://xplorestaging.ieee.org/ielx7/9279433/9280097/09280216.pdf?arnumber=9280216Test

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  7. 7
    مؤتمر
    Managing COVID-19 Global Pandemic With High-Tech Consumer Wearables: A Comprehensive Review

    المؤلفون: Channa, Asma, Popescu, Nirvana, Rehman Malik, Najeeb ur

    المصدر: 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

    الإتاحة: https://doi.org/10.1109/icumt51630.2020.9222428Test
    http://xplorestaging.ieee.org/ielx7/9218468/9222241/09222428.pdf?arnumber=9222428Test

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  8. 8
    دورية أكاديمية
    The rise of Wearable Devices during COVID-19 Pandemic: A Systematic Review

    المؤلفون: Channa, Asma, Popescu, Nirvana, Skibińska, Justyna, Burget, Radim

    مصطلحات موضوعية: COVID-19 pandemic, wearable devices, real time monitoring, physiological monitoring, sensors

    وصف الملف: text; 1-22; application/pdf

    العلاقة: SENSORS; https://www.mdpi.com/1424-8220/21/17/5787Test; SENSORS. 2021, vol. 21, issue 17, p. 1-22.; 172306; http://hdl.handle.net/11012/201474Test

    الإتاحة: https://doi.org/10.3390/s21175787Test
    http://hdl.handle.net/11012/201474Test

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  9. 9
    دورية أكاديمية
    Diagnosis at early stage Based on smartwatches and machine learning Techniques

    المؤلفون: Skibinska, Justyna, Burget, Radim, Channa, Asma, Popescu, Nirvana, Koucheryavy, Yevgeni

    المساهمون: Tampere University, Electrical Engineering

    مصطلحات موضوعية: 213 Electronic, automation and communications engineering, electronics

    وصف الملف: fulltext

    العلاقة: ORCID: /0000-0003-3976-297X/work/100964947; https://trepo.tuni.fi/handle/10024/134475Test; URN:NBN:fi:tuni-202110047374

    الإتاحة: https://doi.org/10.1109/ACCESS.2021.3106255Test
    https://trepo.tuni.fi/handle/10024/134475Test

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  10. 10
    دورية أكاديمية
    COVID-19 Diagnosis at early stage Based on smartwatches and machine learning Techniques

    المؤلفون: Skibińska, Justyna, Burget, Radim, Channa, Asma, Popescu, Nirvana, Koucheryavy, Yevgeni

    مصطلحات موضوعية: artificial intelligence, COVID, singal processing

    وصف الملف: text; 119476-119491; application/pdf

    العلاقة: IEEE Access; https://ieeexplore.ieee.org/document/9517046Test; IEEE Access. 2021, vol. 9, issue 1, p. 119476-119491.; 172256; http://hdl.handle.net/11012/203104Test; orcid:0000-0002-8531-3393; orcid:0000-0003-1849-5390; 23011250200

    الإتاحة: https://doi.org/10.1109/ACCESS.2021.3106255Test
    http://hdl.handle.net/11012/203104Test

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