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

peak-flow-meter

書目名稱Mathematical Analysis and Applications in Modeling影響因子(影響力)




書目名稱Mathematical Analysis and Applications in Modeling影響因子(影響力)學(xué)科排名




書目名稱Mathematical Analysis and Applications in Modeling網(wǎng)絡(luò)公開度




書目名稱Mathematical Analysis and Applications in Modeling網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Mathematical Analysis and Applications in Modeling被引頻次




書目名稱Mathematical Analysis and Applications in Modeling被引頻次學(xué)科排名




書目名稱Mathematical Analysis and Applications in Modeling年度引用




書目名稱Mathematical Analysis and Applications in Modeling年度引用學(xué)科排名




書目名稱Mathematical Analysis and Applications in Modeling讀者反饋




書目名稱Mathematical Analysis and Applications in Modeling讀者反饋學(xué)科排名

單調(diào)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 Radojkovi?,Franti?ek Muzika,Radovan Jura?ek,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

使高興

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

廚師

陰謀

Urszula Fory?, 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

COUCH