Titlebook: Emerging Trends in Intelligent Systems & Network Security; Mohamed Ben Ahmed,Boudhir Anouar Abdelhakim,Didi R Conference proceedings 2023

faddish

Priapism

舉止粗野的人

inconceivable

https://doi.org/10.1007/978-3-476-03370-3ies. Machine Learning is among the new approaches used today in this area. In the proposed work, we constructed a multilayer Stacking Network, composed of a set of 8 selected trained models, based on grid search cross-validation. The model we suggested scored the best result in terms of accuracy, 80.1%, higher than any of its base models.

預(yù)示

舊病復(fù)發(fā)

,Classification of?Credit Applicants Using SVM Variants Coupled with?Filter-Based Feature Selection,to enhance the preprocessing task and models performances. In this study, a public credit dataset namely Australian has been used to test our experiments. Experimental results indicate that our methods are efficient in credit risk analysis. They make the assessment faster and increase the accuracy of the classification.

infelicitous

Conference proceedings 2023 organized by the Research Center for Data and Information Sciences at the National Research and Innovation Agency (BRIN), Republic of Indonesia, and Moroccan Mediterranean Association of Sciences and Sustainable Development, Morocco, during March 30–31, 2022, hosted in online mode in Bandung, Indon

類(lèi)似思想

Grundlagen der motorischen Verbrennungerms of coding quality and accuracy, processing speed and execution, coding complexity, coding efficiency, and homogeneousness. To sum up, symmetric encryption techniques protect the face recognition system faster and better than asymmetric encryption techniques.

模仿

Egon Diczfalusy,Christian Lauritzend diagnosis to patient-based diagnosis. This article will discuss big data technology, including its definition, characteristics, technology, relationship, and influence on the healthcare industry. The concept of machine learning technology, as well as its influence on healthcare, will be also explored.

裹住

Polymers and Resins as Food for Microbes as a ludic tool for educational purposes. The effectiveness of the proposed solution is measured through a real experiment with a sample of learners and with a comparative analysis of the obtained results.