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Titlebook: Advances in Signal Processing and Intelligent Recognition Systems; 4th International Sy Sabu M. Thampi,Oge Marques,Maheshkumar H. Kolekar C

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樓主: estrange
11#
發(fā)表于 2025-3-23 12:23:27 | 只看該作者
12#
發(fā)表于 2025-3-23 17:39:08 | 只看該作者
A v-Hog Tensor Based Discriminant Analysis for Small Size Face Recognitionadopted. The obtained features are further mapped to a lower dimension space for efficient face recognition. In this work the effect of fSVD [.] with bias is also considered to fortify the recognition system. Finally, for classification five different similarity measures are used to obtain an average correctness rate.
13#
發(fā)表于 2025-3-23 18:12:27 | 只看該作者
14#
發(fā)表于 2025-3-24 01:36:31 | 只看該作者
Fuzzy Based Energy Efficient Protocol for Monitoring of Nuclear Radiation Using Wireless Sensor Netwtation using fuzzy based clustering technique along with node scheduling. The normal nodes are used for routing purpose along with super nodes. The proposed protocol yields the optimum energy consumption and improve the performance and network lifetime for monitoring the nuclear plant surrounding.
15#
發(fā)表于 2025-3-24 03:47:25 | 只看該作者
16#
發(fā)表于 2025-3-24 08:36:56 | 只看該作者
https://doi.org/10.1007/978-3-7091-3406-1n such inclusion/exclusion scenarios. While this works in principle, distance-bounding approaches are not always reliable. We consider another approach for inclusion/exclusion scenarios and develop a protocol sketch for this context. We also provide related security analysis.
17#
發(fā)表于 2025-3-24 11:09:59 | 只看該作者
G. E. Collins,M. Mignotte,F. Winklerl operations to remove the outliers. Lane prediction finds applications in pothole detection, autonomous driving etc. We demonstrate the results on real datasets captured in different scenarios. We compare the results with different state-of-art techniques of lane prediction to validate the efficiency of proposed algorithm.
18#
發(fā)表于 2025-3-24 17:03:14 | 只看該作者
19#
發(fā)表于 2025-3-24 20:02:40 | 只看該作者
Intelligent Systems Applied to the Classification of Multiple Faults in Inverter Fed Induction Motored through the discretization of the current data, which allows the reduction the classification complexity providing a optimized waveform in comparison with the original one. The results show that it is possible to classify accurately these faults.
20#
發(fā)表于 2025-3-24 23:35:47 | 只看該作者
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