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1دورية أكاديمية
المؤلفون: Gaia Pavoni, Massimiliano Corsini, Marco Callieri, Giuseppe Fiameni, Clinton Edwards, Paolo Cignoni
المصدر: Remote Sensing, Vol 12, Iss 18, p 3106 (2020)
مصطلحات موضوعية: coral reef monitoring, orthomosaics, orthoprojections, semantic segmentation, deep learning, Science
وصف الملف: electronic resource
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المؤلفون: Matteo Tomei, Rita Cucchiara, Simone Bronzin, Lorenzo Baraldi, Giuseppe Fiameni
المصدر: Software: Practice and Experience. 52:537-554
مصطلحات موضوعية: Computer science, business.industry, Action recognition, video understanding, Artificial intelligence, architectural optimization, distributed training, Architecture, business, Software, Shrinkage
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المؤلفون: Marco Gaido, Sara Papi, Dennis Fucci, Giuseppe Fiameni, Matteo Negri, Marco Turchi
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d842d6756bf8a2002ebfde10ae47c6b6
http://arxiv.org/abs/2205.02629 -
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المؤلفون: Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli, Giuseppe Fiameni, Rita Cucchiara
المصدر: Università degli studi di Modena e Reggio Emilia-IRIS
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computation and Language, Computational Theory and Mathematics, Artificial Intelligence, Applied Mathematics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Vision and Pattern Recognition, Computation and Language (cs.CL), Software
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d28aeb1ec3399d1ab1e6b6facb4afa9
https://pubmed.ncbi.nlm.nih.gov/35130142
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المؤلفون: Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuiliére, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi
المصدر: Lecture Notes in Computer Science ISBN: 9783031198267
مصطلحات موضوعية: computer vision, machine learning, 3D, LiDAR, segmentation, domain adaptation, machine learning, LiDAR, domain adaptation, segmentation, computer vision, 3D
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5385ebd5a18eeab9294d43ee6e1fffce
https://hdl.handle.net/11573/1657985 -
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المؤلفون: Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi
المصدر: Lecture Notes in Computer Science ISBN: 9783031198267
مصطلحات موضوعية: machine learning, LiDAR, domain adaptation, segmentation, computer vision, 3D
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dfdda6ecd68ec532d34c82a629e2cee
https://doi.org/10.1007/978-3-031-19827-4_34 -
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المؤلفون: Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a02fdcd1d7a9acbca9aa0cc5195eed
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المؤلفون: Ciro Sannino, Michela Gravina, Stefano Marrone, Giuseppe Fiameni, Carlo Sansone
المساهمون: Sannino, Ciro, Gravina, Michela, Marrone, Stefano, Fiameni, Giuseppe, Sansone, Carlo
المصدر: Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ff500197a706009923343864ccbcf8
http://hdl.handle.net/11588/886862 -
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المساهمون: Prelogovic, D., Mesinger, A., Murray, S., Fiameni, G., Gillet, N., Observatoire astronomique de Strasbourg (ObAS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
المصدر: Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2022, 509 (3), pp.3852-3867. ⟨10.1093/mnras/stab3215⟩مصطلحات موضوعية: dark age, Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics, 01 natural sciences, Signal, Settore FIS/05 - Astronomia e Astrofisica, 0103 physical sciences, 010303 astronomy & astrophysics, Reionization, Physics, Network architecture, theory [cosmology], 010308 nuclear & particles physics, first star, Astronomy and Astrophysics, Contamination, early Universe, Astrophysics - Astrophysics of Galaxies, Space and Planetary Science, [SDU]Sciences of the Universe [physics], Astrophysics of Galaxies (astro-ph.GA), Intergalactic medium, data analysi [methods], Dark Ages, reionization, high-redshift [galaxies], observation [cosmology], Astrophysics - Cosmology and Nongalactic Astrophysics
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b0fd4cf4d18ad351279d05579722cb4
http://arxiv.org/abs/2107.00018
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المؤلفون: Andrei Utina, Giuseppe Fiameni, E. Cuoco, Filip Morawski, Francesco Marangio, Tania Regimbau, Alberto Iess
المساهمون: Grav. waves and fundamental physics, RS: FSE Grav. waves and fundamental physics
المصدر: 2021 INTERNATIONAL CONFERENCE ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI), 171-176
STARTPAGE=171;ENDPAGE=176;TITLE=2021 INTERNATIONAL CONFERENCE ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI)
CBMIمصطلحات موضوعية: Einstein Telescope, Artificial neural network, Computer science, Noise (signal processing), Gravitational wave, business.industry, Deep learning, Convolutional neural network, LIGO, General Relativity and Quantum Cosmology, Deep Learning, Binary black hole, Gravitational Wave Backgrounds, Artificial intelligence, business, LSTM, Algorithm, ET, CNN
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d75010358ceccd58dec7c0593947b1
https://cris.maastrichtuniversity.nl/en/publications/e3e9bc90-28e5-4bca-ae60-cf5dd11824e1
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