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Titlebook: Inventive Computation and Information Technologies; Proceedings of ICICI S. Smys,Khaled A. Kamel,Ram Palanisamy Conference proceedings 2023

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31#
發(fā)表于 2025-3-26 21:33:11 | 只看該作者
32#
發(fā)表于 2025-3-27 04:28:54 | 只看該作者
Inventive Computation and Information Technologies978-981-19-7402-1Series ISSN 2367-3370 Series E-ISSN 2367-3389
33#
發(fā)表于 2025-3-27 08:38:18 | 只看該作者
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發(fā)表于 2025-3-27 15:21:09 | 只看該作者
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/i/image/474631.jpg
36#
發(fā)表于 2025-3-27 20:32:43 | 只看該作者
Comparison of Various CNN Models for Image Classification,ike medical imaging, automated vehicle, social media and many more. This paper compares convolutional neural network (CNN) models like AlexNet, VGG16, InceptionV3, Deep residual networks (ResNet), and DenseNet using the accuracy. Here, the CIFAR-10 dataset is used for comparison.
37#
發(fā)表于 2025-3-27 22:12:10 | 只看該作者
38#
發(fā)表于 2025-3-28 02:22:35 | 只看該作者
Conference proceedings 2023ies (ICICIT 2022), organized during August 25–26, 2022. This book includes papers in the research area of information sciences and communication engineering. This book presents novel and innovative research results in theory, methodology and applications of communication engineering and information
39#
發(fā)表于 2025-3-28 09:49:38 | 只看該作者
A Meta-Classifier Link Prediction Model for False Profile Identification in Facebook,when compared to alternative prevailing methods. Hence, the method incorporated reveals the outliers in the social networks. We proposed an approach that can identify the false profiles with 93% accuracy and lower false positive rates with sustainable accuracy.
40#
發(fā)表于 2025-3-28 11:36:40 | 只看該作者
Jyoti: An Intelligent App for Women Security,n a bad situation, the application will send a message to trusted people and the police will go to current location. This application has unique feature that it sends messages to trusted people at regular intervals while shaking the phone. It also calls for the first trusted contact to assist in an emergency. It will help to reduce female crime.
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