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Titlebook: Multiple Risk Factors in Cardiovascular Disease; Antonio M. Gotto,Claude Lenfant,Maurizio Soma (Ass Book 1992 Springer Science+Business Me

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978-981-13-0865-9The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
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Bewertung von Kreditinstituten,ßere Strecke seines Berufsweges in der Dresdner Bank gemeinsam — zwar in unterschiedlichen Verantwortungsbereichen, aber doch mit vielen Berührungspunkten — zurückgelegt. Und schließlich war ich wie Professor Jacob einmal Leiter der Konzernplanung der Dresdner Bank.
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Winnie V. Mitullah,Logan Cochraneroach to identify vegetables and fruits by using deep learning and transfer learning based on DenseNet201 model. The result of this research is a model that help people to identify 104 types of vegetables and tubers. This model is trained on the original dataset and the processed dataset, the highes
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Energy Transformations in Living Matter, been frequently observed that cause significant damage in valleys downstream areas. GLOF is one of the major unexpected serious hazards that can release a large volume of water with debris cover in a very short interval of time that caused loss of lives, properties, and severe damage to downstream
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M. Carmen Mañas-Padilla,Fabiola Ávila-Gámiz,Sara Gil-Rodríguez,Lourdes Sánchez-Salido,Luis J. Santínccurate and timely. This paper presents practical machine learning (ML) technique and the optimal lead time for reservoir inflow forecasting. The two well-knows ML: Support Vector Regression (SVR) and Random Forests (RF), were used to predict water inflow volume into the reservoir. Both methods will
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