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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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發(fā)表于 2025-3-23 13:39:58 | 只看該作者
12#
發(fā)表于 2025-3-23 16:09:58 | 只看該作者
978-981-13-0865-9The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
13#
發(fā)表于 2025-3-23 21:03:06 | 只看該作者
14#
發(fā)表于 2025-3-24 01:07:25 | 只看該作者
Bewertung von Kreditinstituten,?ere Strecke seines Berufsweges in der Dresdner Bank gemeinsam — zwar in unterschiedlichen Verantwortungsbereichen, aber doch mit vielen Berührungspunkten — zurückgelegt. Und schlie?lich war ich wie Professor Jacob einmal Leiter der Konzernplanung der Dresdner Bank.
15#
發(fā)表于 2025-3-24 02:57:04 | 只看該作者
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
16#
發(fā)表于 2025-3-24 07:29:07 | 只看該作者
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
17#
發(fā)表于 2025-3-24 13:26:34 | 只看該作者
M. Carmen Ma?as-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
18#
發(fā)表于 2025-3-24 14:57:37 | 只看該作者
19#
發(fā)表于 2025-3-24 19:26:11 | 只看該作者
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發(fā)表于 2025-3-25 01:33:55 | 只看該作者
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