Littérature scientifique sur le sujet « Raisin – Analyse informatique »
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Articles de revues sur le sujet "Raisin – Analyse informatique"
Souza, Lucas Santos, Camila Freitas Almeida, Guilherme Lopes Yamamoto, Rita de Cássia Mingroni Pavanello, Juliana Gurgel-Giannetti, Silvia Souza da Costa, Isabela Pessa Anequini et al. « Manifesting carriers of X-linked myotubular myopathy ». Neurology Genetics 6, no 5 (4 septembre 2020) : e513. http://dx.doi.org/10.1212/nxg.0000000000000513.
Texte intégralКостирко, Лідія Андріївна, et Тетяна Василівна Соломатіна. « ФІНАНСОВИЙ ПОТЕНЦІАЛ КРЕДИТНИХ СПІЛОК У СИСТЕМІ РОЗВИТКУ МАЛИХ ФОРМ АГРОБІЗНЕСУ ». TIME DESCRIPTION OF ECONOMIC REFORMS, no 1 (5 mai 2020) : 57–64. http://dx.doi.org/10.32620/cher.2020.1.08.
Texte intégralVartanov, S. A. « The Economic Theory of Advertising : The Directions of Formation ». Administrative Consulting, no 8 (30 septembre 2020) : 157–74. http://dx.doi.org/10.22394/1726-1139-2020-8-157-174.
Texte intégralPobel, E. A., L. M. Bengus et N. V. Dedukh. « MARKERS OF BONE METABOLISM IN LONG BONE’S ADHESION ». Osteoporosis and Bone Diseases 15, no 2 (15 août 2012) : 25–32. http://dx.doi.org/10.14341/osteo2012225-32.
Texte intégralKocira, Sławomir. « Concepts and Methods of Mathematic Modelling of Plant Growth and Development. Plant Germination -Part I ». Agricultural Engineering 22, no 3 (1 septembre 2018) : 11–20. http://dx.doi.org/10.1515/agriceng-2018-0022.
Texte intégralErdal, Gülistan, Hilmi Erdal, Bekir Ayyıldız, Merve Ayyıldız et Adnan Çiçek. « Tokat İli Meyve-Sebze Üretiminde Pestisit Kullanımı ve Üreticilerin Bilinç Düzeyleri ». Turkish Journal of Agriculture - Food Science and Technology 7, no 10 (12 octobre 2019) : 1515. http://dx.doi.org/10.24925/turjaf.v7i10.1515-1521.2407.
Texte intégralTrokhimchuk, V. V., O. I. Belyaeva et L. M. Unhurian. « Organization of medical care for children in Ukraine (review of literature) ». Farmatsevtychnyi zhurnal, no 1 (14 août 2018) : 20–29. http://dx.doi.org/10.32352/0367-3057.1.17.03.
Texte intégralAkbar, Muhammad, Abdulmohsen Obied Alshamari, Muhammad Tariq, Alhelali Marwan, Basim S. O. Alsaedi et Ishfaq Ahmad. « Bayesian versus Classical Econometric Inference to Revisit the Role of Human Capital in Economic Growth ». Mathematical Problems in Engineering 2022 (27 mai 2022) : 1–10. http://dx.doi.org/10.1155/2022/7251670.
Texte intégralDrachneris, Julius, Mindaugas Morkunas, Mantas Fabijonavicius, Albertas Cekauskas, Feliksas Jankevicius et Arvydas Laurinavicius. « Spatial Distribution of Macrophage and Lymphocyte Subtypes within Tumor Microenvironment to Predict Recurrence of Non-Muscle-Invasive Papillary Urothelial Carcinoma after BCG Immunotherapy ». International Journal of Molecular Sciences 25, no 9 (27 avril 2024) : 4776. http://dx.doi.org/10.3390/ijms25094776.
Texte intégralSapuan, Shari, Paul T. Heath, Blair L. Strang, Asma Khalil et Christine E. Jones. « Learning from the experiences of pregnant women participating in a research study investigating human cytomegalovirus shedding : A qualitative study ». PLOS ONE 18, no 11 (30 novembre 2023) : e0292134. http://dx.doi.org/10.1371/journal.pone.0292134.
Texte intégralThèses sur le sujet "Raisin – Analyse informatique"
Dahmane, Khouloud. « Analyse d'images par méthode de Deep Learning appliquée au contexte routier en conditions météorologiques dégradées ». Thesis, Université Clermont Auvergne (2017-2020), 2020. http://www.theses.fr/2020CLFAC020.
Texte intégralNowadays, vision systems are becoming more and more used in the road context. They ensure safety and facilitate mobility. These vision systems are generally affected by the degradation of weather conditions, like heavy fog or strong rain, phenomena limiting the visibility and thus reducing the quality of the images. In order to optimize the performance of the vision systems, it is necessary to have a reliable detection system for these adverse weather conditions.There are meteorological sensors dedicated to physical measurement, but they are expensive. Since cameras are already installed on the road, they can simultaneously perform two functions: image acquisition for surveillance applications and physical measurement of weather conditions instead of dedicated sensors. Following the great success of convolutional neural networks (CNN) in classification and image recognition, we used a deep learning method to study the problem of meteorological classification. The objective of our study is to first seek to develop a classifier of time, which discriminates between "normal" conditions, fog and rain. In a second step, once the class is known, we seek to develop a model for measuring meteorological visibility.The use of CNN requires the use of train and test databases. For this, two databases were used, "Cerema-AWP database" (https://ceremadlcfmds.wixsite.com/cerema-databases), and the "Cerema-AWH database", which has been acquired since 2017 on the Fageole site on the highway A75. Each image of the two bases is labeled automatically thanks to meteorological data collected on the site to characterize various levels of precipitation for rain and fog.The Cerema-AWH base, which was set up as part of our work, contains 5 sub-bases: normal day conditions, heavy fog, light fog, heavy rain and light rain. Rainfall intensities range from 0 mm/h to 70mm/h and fog weather visibilities range from 50m to 1800m. Among the known neural networks that have demonstrated their performance in the field of recognition and classification, we can cite LeNet, ResNet-152, Inception-v4 and DenseNet-121. We have applied these networks in our adverse weather classification system. We start by the study of the use of convolutional neural networks. The nature of the input data and the optimal hyper-parameters that must be used to achieve the best results. An analysis of the different components of a neural network is done by constructing an instrumental neural network architecture. The conclusions drawn from this analysis show that we must use deep neural networks. This type of network is able to classify five meteorological classes of Cerema-AWH base with a classification score of 83% and three meteorological classes with a score of 99%Then, an analysis of the input and output data was made to study the impact of scenes change, the input's data and the meteorological classes number on the classification result.Finally, a database transfer method is developed. We study the portability from one site to another of our adverse weather conditions classification system. A classification score of 63% by making a transfer between a public database and Cerema-AWH database is obtained.After the classification, the second step of our study is to measure the meteorological visibility of the fog. For this, we use a neural network that generates continuous values. Two fog variants were tested: light and heavy fog combined and heavy fog (road fog) only. The evaluation of the result is done using a correlation coefficient R² between the real values and the predicted values. We compare this coefficient with the correlation coefficient between the two sensors used to measure the weather visibility on site. Among the results obtained and more specifically for road fog, the correlation coefficient reaches a value of 0.74 which is close to the physical sensors value (0.76)
Livres sur le sujet "Raisin – Analyse informatique"
Heyman, Neil M. World War I. Greenwood Publishing Group, Inc., 1997. http://dx.doi.org/10.5040/9798216039259.
Texte intégralMartin-Fiorino, Víctor, Carlos Arturo Ospina Hernández, María Victoria Cadavid-Claussen, Sandra Ligia Ramírez-Orozco, Diana Constanza Nossa-Ramos, Francesco Ferrari, Darwin Arturo Muñoz Buitrago et al. Persona y felicidad : aportes desde la educación, la filosofía, la historia, la ética, la política, el derecho y la bioética. Sous la direction de Dalia Jaqueline Santa Cruz-Vera. Editorial Universidad Católica de Colombia, 2021. http://dx.doi.org/10.14718/9789585133679.2021.
Texte intégralChapitres de livres sur le sujet "Raisin – Analyse informatique"
Montgomery, Erwin B. « Irreproducibility in Biomedical Science ». Dans Medical Reasoning, 186–94. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190912925.003.0016.
Texte intégralCorrea, Kelly de Souza, Roberta Ribeiro Batista Barbosa et Fernando Rocha Oliveira. « Autism spectrum disorder (ASD) : Lines of care and public policies in Brazil ». Dans CHALLENGES AND INNOVATIONS IN EDUCATION : SCIENTIFIC PERSPECTIVES. Seven Editora, 2023. http://dx.doi.org/10.56238/chaandieducasc-009.
Texte intégralJohn P, Pace. « 9 The Great Enterprise Today (2006) ». Dans The United Nations Commission on Human Rights. Oxford University Press, 2020. http://dx.doi.org/10.1093/law/9780198863151.003.0010.
Texte intégralWilson, Samuel G. « Enhancement and Identity ». Dans Global Issues and Ethical Considerations in Human Enhancement Technologies, 241–56. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6010-6.ch014.
Texte intégralAnderson, Malcolm, Monica Den Boer, Peter Cullen, William Gilmore, Charles Raab et Neil Walker. « The Political Theory of European Police Co-operation ». Dans Policing the European Union, 86–120. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198259657.003.0004.
Texte intégralActes de conférences sur le sujet "Raisin – Analyse informatique"
Andov, Stojan, Violeta Cvetkoska et Tea Mijac. « Unveiling Global Road Accident Patterns - Insights, Analytics, and Implications for Safer Driving Practices ». Dans Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2023. http://dx.doi.org/10.47063/ebtsf.2023.0031.
Texte intégralA. Buzzetto-Hollywood, Nicole, Austin J. Hill et Troy Banks. « Early Findings of a Study Exploring the Social Media, Political and Cultural Awareness, and Civic Activism of Gen Z Students in the Mid-Atlantic United States [Abstract] ». Dans InSITE 2021 : Informing Science + IT Education Conferences. Informing Science Institute, 2021. http://dx.doi.org/10.28945/4762.
Texte intégralRapports d'organisations sur le sujet "Raisin – Analyse informatique"
Monetary Policy Report, October 2023. Banco de la República, décembre 2023. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr4-2023.
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