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Titlebook: Evaluation Methods in Biomedical Informatics; Charles P. Friedman,Jeremy C. Wyatt,Kathryn J. Han Book 20062nd edition Springer Science+Bus

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樓主: Deleterious
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發(fā)表于 2025-3-25 05:15:34 | 只看該作者
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發(fā)表于 2025-3-25 07:52:53 | 只看該作者
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發(fā)表于 2025-3-25 14:02:58 | 只看該作者
International Workshop on Interactive Human Behavior Analysis in Open or Public Spacesout people’s attitudes towards strangers, friends and family, and how they chose to navigate through and familiarise themselves with the urban environment. This paper provides a summary of our workshop on interactive human behaviour analysis in open or public spaces, and in particular, highlighting
24#
發(fā)表于 2025-3-25 19:49:19 | 只看該作者
,Parlamentarische Repr?sentanz und Regierungsbeteiligung in Bonn,ses enge politisch-organisatorische Aktionsbündnis wurde im Deutschen Bundestag fortgesetzt. Die ?Fraktionsgemeinschaft der CDU/CSU“ wurde seit 1949 trotz aller Belastungen des Verh?ltnisses von CDU und CSU zu Beginn jeder Legislaturperiode erneuert, zuletzt nach Konstituierung des B. Deutschen Bund
25#
發(fā)表于 2025-3-25 20:17:02 | 只看該作者
26#
發(fā)表于 2025-3-26 02:26:05 | 只看該作者
Millimeter-Wave Endfire Single-Feed Circular-Polarization Antipodal Fermi Tapered Slot Antenna,-SC) is presented. The CP mode is achieved using a single-feed substrate delay line with a 90° phase difference to excite two orthogonal-mode AFTSA-SCs. Two prototype designs for right-hand circular-polarization (RHCP) and left-hand circular-polarization (LHCP) were optimized and implemented. The op
27#
發(fā)表于 2025-3-26 06:15:35 | 只看該作者
2662-4346 linical trials, and their regulations.Describes bioinformati.This book illustrates advancements in the sophisticated tools and techniques for discovering and designing new antiviral drugs, identifying approved drugs against new and emerging viruses through large-scale computational virtual screening
28#
發(fā)表于 2025-3-26 09:28:39 | 只看該作者
https://doi.org/10.1007/978-3-663-07110-5 is based on DC programming and DCA is then investigated to solve this problem. Numerical results on real-world datasets show the efficiency and the superiority of our method versus the standard algorithm on both support vector reduction and classification.
29#
發(fā)表于 2025-3-26 12:55:40 | 只看該作者
Analysis of Deep Learning Sequence Models for Short Term Load Forecasting,t results. It was showed that datasets with different characteristics require different model design choices. The simulations of the proposed DL method were carried out with Python and the performance parameters were also presented.
30#
發(fā)表于 2025-3-26 19:01:19 | 只看該作者
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