四海为家的人
发表于 2025-3-26 23:45:39
Francesco Russo,Domenica Savia Pellicanò,Maria Rosaria Trecozziion. A limited knowledge of mathematics and - in one single chapter - some knowledge of elementary matrix algebra is required for understanding the text. Complicated mathematical proofs are avoided and the explanations are based on intuition and numerical examples. The aim of this book is to enable
接合
发表于 2025-3-27 04:53:01
Giovanna Petrungaro,Giuseppe Iiritano,Maria Rosaria Trecozzies the threat of widespread deaths, economic damage, and social disruption. Citizens and governments need to take account of existing and emerging evidence, in order to decide on effective action. In most cases, governments need to create mechanisms to gather more evidence relevant to decision makin
暴发户
发表于 2025-3-27 06:37:42
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连系
发表于 2025-3-27 11:49:29
New Challenges for Sustainable Urban Mobility: Volume IIProceedings of the X
ARBOR
发表于 2025-3-27 15:17:50
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灯泡
发表于 2025-3-27 21:48:24
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欢呼
发表于 2025-3-28 00:30:09
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启发
发表于 2025-3-28 03:51:08
Ginevra Balletto,Martina Sinatra,Giuseppe Borruso,Francesco Sechi,Gianfranco Fancelloe sensitivity, specificity, positive and negative predictive values, likelihood ratios, the area under the ROC curve, the Youden index, and the diagnostic odds ratio. The chapter includes simplified equations, demonstrative examples calculated by hand, and links to online calculators and statistical
Libido
发表于 2025-3-28 07:21:34
Mara Ladu,Silvia Battino,Ainhoa Amaro Garcia,Ginevra Ballettoe sensitivity, specificity, positive and negative predictive values, likelihood ratios, the area under the ROC curve, the Youden index, and the diagnostic odds ratio. The chapter includes simplified equations, demonstrative examples calculated by hand, and links to online calculators and statistical
不容置疑
发表于 2025-3-28 12:28:11
Gerardo Carpentieri,Carmela Gargiulo,Floriana Zucarof deep object detectors to detect objects around the clock. We explore how contextual multi-sensor data can play a pivotal role in modelling and recognizing objects especially at night. For this purpose, we have proposed the use of contextual data fusion on available training data before training th