يعرض 1 - 10 نتائج من 478 نتيجة بحث عن '"Distante, Cosimo"', وقت الاستعلام: 1.08s تنقيح النتائج
  1. 1
    تقرير
    Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach

    المؤلفون: Guerri, Mohamed Fadhlallah, Distante, Cosimo, Spagnolo, Paolo, Bougourzi, Fares, Taleb-Ahmed, Abdelmalik

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

    الوصول الحر: http://arxiv.org/abs/2406.14120Test

    View record in Arxiv

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  2. 2
    تقرير
    Boosting House Price Estimations with Multi-Head Gated Attention

    المؤلفون: Sellam, Zakaria Abdellah, Distante, Cosimo, Taleb-Ahmed, Abdelmalik, Mazzeo, Pier Luigi

    مصطلحات موضوعية: Computer Science - Machine Learning

    الوصول الحر: http://arxiv.org/abs/2405.07456Test

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  3. 3
    تقرير
    D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images

    المؤلفون: Bougourzi, Fares, Dornaika, Fadi, Distante, Cosimo, Taleb-Ahmed, Abdelmalik

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

    الوصول الحر: http://arxiv.org/abs/2405.04169Test

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  4. 4
    تقرير
    Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review

    المؤلفون: Guerri, Mohamed Fadhlallah, Distante, Cosimo, Spagnolo, Paolo, Bougourzi, Fares, Taleb-Ahmed, Abdelmalik

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing

    الوصول الحر: http://arxiv.org/abs/2304.13880Test

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  5. 5
    تقرير
    D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation

    المؤلفون: Bougourzi, Fares, Distante, Cosimo, Dornaika, Fadi, Taleb-Ahmed, Abdelmalik

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

    الوصول الحر: http://arxiv.org/abs/2303.15576Test

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  6. 6
    تقرير
    2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans

    المؤلفون: Bougourzi, Fares, Dornaika, Fadi, Nakib, Amir, Distante, Cosimo, Taleb-Ahmed, Abdelmalik

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

    الوصول الحر: http://arxiv.org/abs/2303.08740Test

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  7. 7
    تقرير
    Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan

    المؤلفون: Bougourzi, Fares, Distante, Cosimo, Dornaika, Fadi, Taleb-Ahmed, Abdelmalik

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

    الوصول الحر: http://arxiv.org/abs/2206.15431Test

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  8. 8
    مؤتمر
    [Review] Deep learning techniques for hyperspectral image analysis in agriculture: A review

    المؤلفون: Guerri, Mohamed Fadhlallah, Distante, Cosimo, Spagnolo, Paolo, Bougourzi, Fares, Tahleb Ahmed, Abdelmalik

    المساهمون: Istituto di Scienze Applicate e Sistemi Intelligenti “Eduardo Caianiello” ISASI, COMmunications NUMériques - IEMN COMNUM - IEMN, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 IEMN

    مصطلحات موضوعية: Hyperspectral imaging, HSI, Deep learning, Agriculture, CNN, RNN, GAN

    وصف الملف: application/octet-stream

    العلاقة: ISPRS Open Journal of Photogrammetry and Remote Sensing; http://hdl.handle.net/20.500.12210/112900Test

    الإتاحة: https://doi.org/20.500.12210/112900Test
    https://hdl.handle.net/20.500.12210/112900Test

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  9. 9
    دورية أكاديمية
    COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge

    المؤلفون: Bougourzi, Fares, Distante, Cosimo, Dornaika, Fadi, Taleb-Ahmed, Abdelmalik, Hadid, Abdenour, Chaudhary, Suman, Yang, Wanting, Qiang, Yan, Anwar, Talha, Breaban, Mihaela Elena, Hsu, Chih-Chung, Tai, Shen-Chieh, Chen, Shao-Ning, Tricarico, Davide, Chaudhry, Hafiza Ayesha Hoor, Fiandrotti, Attilio, Grangetto, Marco, Spatafora, Maria Ausilia Napoli, Ortis, Alessandro, Battiato, Sebastiano

    مصطلحات موضوعية: COVID-19, convolutional neural network, deep learning, segmentation, Per-COVID-19, transformer, estimation

    وصف الملف: application/pdf

    العلاقة: https://www.mdpi.com/1424-8220/24/5/1557Test; Sensors 24(5) : (2024) // Article ID 1557; http://hdl.handle.net/10810/66478Test

    الإتاحة: https://doi.org/10.3390/s24051557Test
    http://hdl.handle.net/10810/66478Test

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  10. 10
    دورية أكاديمية
    Deep learning techniques for hyperspectral image analysis in agriculture: A review

    المؤلفون: Guerri, Mohamed Fadhlallah, Distante, Cosimo, Spagnolo, Paolo, Bougourzi, Fares, Taleb-Ahmed, Abdelmalik

    المصدر: ISPRS Open Journal of Photogrammetry and Remote Sensing ; volume 12, page 100062 ; ISSN 2667-3932

    الإتاحة: https://doi.org/10.1016/j.ophoto.2024.100062Test
    https://api.elsevier.com/content/article/PII:S266739322400005X?httpAccept=text/xmlTest
    https://api.elsevier.com/content/article/PII:S266739322400005X?httpAccept=text/plainTest

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