Titlebook: Business Intelligence; 7th International Co Mohamed Fakir,Mohamed Baslam,Rachid El Ayachi Conference proceedings 2022 Springer Nature Switz

同時(shí)發(fā)生

1865-1348 y were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization and dynamic programming..978-3-031-06457-9978-3-031-06458-6Series ISSN 1865-1348 Series E-ISSN 1865-1356

phytochemicals

https://doi.org/10.1007/978-3-642-54484-2ted and compared on the Intracranial Hemorrhage Dataset that contains 2814 images. The results show that the detection accuracy of Transfer Learning with Inception V3, which achieves 88.97%, is superior to that of the Convolutional neural network.

解脫

conscience

Mark Eisenegger,Mario Schranz,Angelo GislerCS-MC4 algorithms are presented. These algorithms are evaluated using Recall, precision and F-measure. Experimental results show that AD-Tree is faster and present higher accuracy than the other classifier using a Diabetes data set.

腐敗

stressors

不規(guī)則

conservative

Facial Expression Recognition Using a?Hybrid ViT-CNN AggregatorN architecture when merged by different merging layers. The proposed approach is tested on the FER2013 and CK+ data sets. Experimental results demonstrate the high performance of the Average Merging Layer (AML), and our method outperforms state-of-the-art methods on FER2013 and CK+.

circuit

骯臟

How far can Deep Learning Improve Arabic Part of Speech Tagging? develop POS taggers for the Arabic language. After multiple exclusion steps 12 articles were selected for a full review. Results show that Long Short-Term Memory (LSTM) and its extension Bidirectional LSTM (Bi-LSTM) models are the most used DL techniques for Arabic POS tagging, and they give better results according to the reviewed papers.