Titlebook: Artificial Intelligence: Theories and Applications; First International Mohammed Salem,Juan Julián Merelo,Fatima Debbat Conference proceed

放弃

Robust Method for Breast Cancer Classification Based on Feature Selection Using RGWO Algorithm apply the proposed approach on Wisconsin Diagnostic Breast Cancer (WDBC) database. The experimental result improve that the hybridation between RGWO for feature selection and RF classifier increase the accuracy rate of classification and demonstrating it’s robustness in identifying the breast cance

Catheter

Ingratiate

DALLY

A Novel Classification Method for Group Decision-Making Dimensionsn society for the whole world during the recent Covid-19 pandemic. We first present the associated challenges, followed by the potential solution of computer-based group decision-making systems. We further discuss binary and multi-features of group decision approaches with justifications and example

睨视

dapper

Intelligent ITSC Fault Detection in PMSG Using the Machine Learning Techniquet gives the best classification performances in terms of turnaround time and the following metrics: Accuracy, Precision, Recall, and F1 score..The outcomes of the comparison study show that the SVM algorithm is the best classification machine-learning algorithm for automatic ITSC fault detection sin

pacific

synovitis

歌唱队

1865-0929 s, ICAITA 2022, held in Mascara, Algeria, in November 2022. .The 23 papers were thoroughly reviewed and selected from the 66 qualified submissions. They are organized in topical sections on ​artificial vision; and articial intelligence in big data and natural language processing. .978-3-031-28539-49

消音器

N. Vonk,B. G. J. Baars,H. Schallert and diagnose glaucoma based on the processed funds images. It is divided into two phases: Learning and Classification. Results are promising to detect such a disease from retina images even when compared to other architectures.