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Titlebook: Smart Computing Techniques and Applications; Proceedings of the F Suresh Chandra Satapathy,Vikrant Bhateja,T. Adilak Conference proceedings

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樓主: cobble
61#
發(fā)表于 2025-4-1 04:48:06 | 只看該作者
62#
發(fā)表于 2025-4-1 09:18:57 | 只看該作者
Anti-poaching System Using Wireless Sensor Networking, sandal and sagwan. These trees are very costly and meager. They are used in the medical sciences, cosmetics and many more. To restrict their smuggling and to save forests around the globe, some preventive measures need to be deployed. A system has been proposed that uses RFID tags and four sensors
63#
發(fā)表于 2025-4-1 11:29:57 | 只看該作者
,Performance Issues and Monitoring Mechanisms for Serverless IoT Applications—An Exploratory Study,ication developers, in general, focus on developing their application logic rather than looking into the performance bottlenecks of serverless functions. In this review article, available performance analysis tools and monitoring mechanisms for IoT-enabled serverless applications are explored. Effor
64#
發(fā)表于 2025-4-1 16:38:53 | 只看該作者
Detection of Pemphigus Vulgaris in Development Stage of Skin Erosion,ks the same as the other blister disease. Thus, diagnosis of PV disease is difficult because of the fact that only one characteristic is identifying the PV blister that is Nikolsky’s sign (bulla spread sign). Ruptures of the blisters make erosion on the surface of the skin area. The clinical diagnos
65#
發(fā)表于 2025-4-1 18:41:52 | 只看該作者
Anomaly-Based Intrusion Detection System in Two Benchmark Datasets Using Various Learning Algorithmion detection. But the changing nature of attack leads to the need to deal with every possible aspect to increase the detection efficiency. The anomaly-based intrusion detection has always been in the limelight because of its detection capability of the unknown pattern. In the study, feature reducti
66#
發(fā)表于 2025-4-1 23:18:57 | 只看該作者
67#
發(fā)表于 2025-4-2 06:07:42 | 只看該作者
Adaptive Beamforming Using Radial Basis Function,he received signal. However, it is computationally expensive and hence not suitable for real-time applications. The idea proposed in this paper is to develop a neural network model based on MUSIC, to cater to real-time need of modern communication systems.
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