Titlebook: Mathematical Analysis and Applications in Modeling; ICMAAM 2018, Kolkata Priti Kumar Roy,Xianbing Cao,Satya Deo Conference proceedings 2020

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书目名称Mathematical Analysis and Applications in Modeling影响因子(影响力)




书目名称Mathematical Analysis and Applications in Modeling影响因子(影响力)学科排名




书目名称Mathematical Analysis and Applications in Modeling网络公开度




书目名称Mathematical Analysis and Applications in Modeling网络公开度学科排名




书目名称Mathematical Analysis and Applications in Modeling被引频次




书目名称Mathematical Analysis and Applications in Modeling被引频次学科排名




书目名称Mathematical Analysis and Applications in Modeling年度引用




书目名称Mathematical Analysis and Applications in Modeling年度引用学科排名




书目名称Mathematical Analysis and Applications in Modeling读者反馈




书目名称Mathematical Analysis and Applications in Modeling读者反馈学科排名

单调性

Ellina V. Grigorieva,Evgenii N. Khailovng of such accidents holds a paramount importance in road safety status evaluation. However, models in many studies often prioritize individual factors like accuracy, stability, or anti-interference ability, rather than considering them comprehensively. Toward this end, this study presents a novel t

烤架

Igor Schreiber,Vuk Radojković,František Muzika,Radovan Jurašek,Lenka Schreiberová, particularly the inaccurate depth estimation in challenging areas such as low-texture regions, weak lighting conditions, and non-Lambertian surfaces. We ascribe this problem to the insufficient performance of the feature extractor and the information loss caused by the MVS pipeline transmission, a

河潭

使高兴

Mini Ghoshlearning methods usually use unlabeled data to augment the training set or regularize the decision boundary of classifiers. The classification results rely on the precision on unlabeled data using supervised classifiers trained with limited labeled samples. When a small number of labeled samples are

厨师

阴谋

Urszula Foryś, the set size is mostly large enough to make a complex kernel that holds lots of parameters being well optimized. Hence, the complex kernel can be helpful in improving classification performance via providing more meaningful feature representation in kernel induced feature space. In this paper, we

anesthesia

Demulcent

Debashish Goswamiimprove the efficiency of services and promote the sharing and effective use of medical resources. In this paper an adaptive scheduling model for hospital outpatient clinics on the number of SPs while minimizing total cost is proposed. Firstly, the M/G/K model of the outpatient queuing process is co

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