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Titlebook: Intelligent Systems Design and Applications; 22nd International C Ajith Abraham,Sabri Pllana,Anu Bajaj Conference proceedings 2023 The Edit

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31#
發(fā)表于 2025-3-27 00:40:43 | 只看該作者
32#
發(fā)表于 2025-3-27 03:56:41 | 只看該作者
,LSTM-Based Congestion Detection in?Named Data Networks,rol efficiency by giving the consumer the ability of perception and speeding up detection, so that network overload could be known in advance. To detect congestion, the proposed scheme integrates a perception andprediction strategy based on a type of Recurrent Neural Network, namely Long Short Term Memory (LSTM).
33#
發(fā)表于 2025-3-27 08:13:42 | 只看該作者
Abnormal Event Detection Method Based on Spatiotemporal CNN Hashing Model, network. Exactly, a hashing layer is inserted after the last fully connected layer to move to the high-dimension and real-value features into low-dimension and binary features. Extensive experiments on a public available dataset have demonstrated the effectiveness of our framework, which achieves the state-of-the-art performance.
34#
發(fā)表于 2025-3-27 10:25:53 | 只看該作者
35#
發(fā)表于 2025-3-27 16:36:15 | 只看該作者
Conference proceedings 2023l Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems a
36#
發(fā)表于 2025-3-27 20:44:59 | 只看該作者
37#
發(fā)表于 2025-3-27 22:28:27 | 只看該作者
38#
發(fā)表于 2025-3-28 05:42:11 | 只看該作者
,Detection of?COVID-19 in?Computed Tomography Images Using Deep Learning,of the model. Of the three convolutional neural networks used - ResNet101, VGG19 and InceptionV3 - the ResNet101 model had the best performance, reaching 98% Precision, 96.84% Kappa, 97.78% Precision, 97.55% Sensitivity and 97.70% F1-Score. The promising results demonstrate that the proposed method can help specialists to detect this disease.
39#
發(fā)表于 2025-3-28 08:28:43 | 只看該作者
,A Decision Support System Based Vehicle Ontology for?Solving VRPs,m-based VRP-Vehicle ontology proposed aims at generating a CSV file that represents the classification of the VRP. Furthermore, it helps transport companies to specify the characteristics of the customers and the vehicles that will be used for the resolution of the VRP.
40#
發(fā)表于 2025-3-28 10:37:49 | 只看該作者
Conference proceedings 2023nd their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.. .?..?.
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