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Titlebook: Applied Intelligence and Informatics; Second International Mufti Mahmud,Cosimo Ieracitano,Francesco Carlo Mor Conference proceedings 2022 T

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樓主: 搖尾乞憐
41#
發(fā)表于 2025-3-28 16:04:03 | 只看該作者
Optimized Layout: A Genetic Algorithm for Industrial and Business Application that reveal an appreciable robustness and open new scenarios for different applications of the methodology developed in this work, always in the context of optimal management of industrial and commercial spaces.
42#
發(fā)表于 2025-3-28 20:31:46 | 只看該作者
43#
發(fā)表于 2025-3-29 02:52:02 | 只看該作者
44#
發(fā)表于 2025-3-29 04:20:33 | 只看該作者
A Novel Fuzzy Semi-supervised Learning Approach for?the?Classification of?Colorectal Cancer (FSSL-CRlassification models such as Support Vector Machine, Random tree, Linear Regression and others, the prediction performance using this strategy on the dataset exhibited remarkable breakthroughs in enhancing the classifier’s results.
45#
發(fā)表于 2025-3-29 08:06:23 | 只看該作者
46#
發(fā)表于 2025-3-29 15:04:23 | 只看該作者
Identification of?Crown and?Rump in?First-Trimester Ultrasound Images Using Deep Convolutional Neuramodel that implements a pre-trained CNN model, namely, VGG-16. This model is used to classify the segmented images into ‘Good’ and ‘Bad’. Finally, the segmented images are entered into a pre-trained ResNet34 model that identifies the Crown and Rump regions. This can be used by obstetric practitioner
47#
發(fā)表于 2025-3-29 17:24:03 | 只看該作者
48#
發(fā)表于 2025-3-29 20:25:20 | 只看該作者
49#
發(fā)表于 2025-3-30 00:41:55 | 只看該作者
https://doi.org/10.1007/978-3-658-26117-7for a significant increase in classification accuracy if compared with two different DNN approaches based on Dense Networks and Convolutional Neural Networks, furthermore, the GNN has proved to be very efficient with regard to the processing time and memory requirements, thanks to intrinsic paramete
50#
發(fā)表于 2025-3-30 05:48:26 | 只看該作者
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