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Titlebook: Advanced Computational Methods for Knowledge Engineering; Proceedings of the 2 Tien Do,Hoai An Le Thi,Ngoc Thanh Nguyen Conference proceedi

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樓主: duodenum
21#
發(fā)表于 2025-3-25 04:05:43 | 只看該作者
A New Queueing Model for a Physician Office Accepting Scheduled Patients and Patients without Appointhe exposure and the strength of the effect. The risk of lateral damage is significantly higher with monopolar current, whereas it is comparatively very low when using an electrothermal bipolar device (e.g., LigaSure) or ultrasound-based instruments (Ultracision).
22#
發(fā)表于 2025-3-25 08:13:46 | 只看該作者
Conference proceedings 2014Computer Science and Applied Mathematics. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to their research. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book..
23#
發(fā)表于 2025-3-25 11:42:05 | 只看該作者
https://doi.org/10.1007/978-3-319-06569-4Computational Intelligence; Intelligent Computing; Knowledge Engineering; Mathematical Programming and
24#
發(fā)表于 2025-3-25 17:20:38 | 只看該作者
25#
發(fā)表于 2025-3-25 20:28:14 | 只看該作者
26#
發(fā)表于 2025-3-26 01:37:24 | 只看該作者
27#
發(fā)表于 2025-3-26 04:45:51 | 只看該作者
https://doi.org/10.1007/978-3-662-40247-4rative approach based on metaheuristics. The idea is inspired from brainstorming, an efficient meeting mode for collectively solving company’s problems. Different metaheuristic algorithms are used parallely for collectively solving COPs. These algorithms collaborate by exchanging the best current so
28#
發(fā)表于 2025-3-26 12:29:21 | 只看該作者
29#
發(fā)表于 2025-3-26 14:53:20 | 只看該作者
Beitrag zur Lehre von der Blutgerinnung,nd the Quadratic Matrix Inequality (QMI) Feasibility Problems. They are both important NP-hard problems in the field of robust control and system theory. The inherent difficulty lies in the nonconvex set of feasible solutions. In this paper, we will firstly reformulate these problems as a DC program
30#
發(fā)表于 2025-3-26 18:10:44 | 只看該作者
https://doi.org/10.1007/978-3-662-42348-6bservations. We present a novel approach to the sparse linear discriminant analysis (LDA) using the zero-norm. The resulting optimization problem is non-convex, discontinuous and very hard to solve. We overcome the discontinuity by using an appropriate continuous approximation to zero-norm such that
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