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Titlebook: Advances in Intelligent Computing and Communication; Proceedings of ICAC Mihir Narayan Mohanty,Swagatam Das Conference proceedings 2020 Sp

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51#
發(fā)表于 2025-3-30 11:47:49 | 只看該作者
52#
發(fā)表于 2025-3-30 15:39:15 | 只看該作者
https://doi.org/10.1007/978-3-642-74748-9esponse (IIR) systems are used in wireless sensor network (WSN) based application. Hence, adaptive IIR filter is assumed at each sensor node to estimate the parameters in the network. Diffusion mode of cooperation among the sensor nodes is incorporated. By doing this, the probability of trapping in
53#
發(fā)表于 2025-3-30 18:04:26 | 只看該作者
54#
發(fā)表于 2025-3-30 22:15:02 | 只看該作者
https://doi.org/10.1007/978-3-642-74748-9onitoring, high power cable monitoring, fire detection, defense and military, and aviation industries. Brillouin optical time-domain reflectometry-based distributed temperature sensing (BOTDR-DTS) system is a type of DOFS system and highly useful for the above identified applications. In order to im
55#
發(fā)表于 2025-3-31 03:28:01 | 只看該作者
https://doi.org/10.1007/978-3-642-74748-9 area is highly dispersed and the citizens are not quite competent enough to avail all the benefit provided by Government to them considering this issue here we have integrated all vital service need for making the model further implementation. The data storage of this cloud-based model can implemen
56#
發(fā)表于 2025-3-31 05:24:43 | 只看該作者
57#
發(fā)表于 2025-3-31 10:23:45 | 只看該作者
https://doi.org/10.1007/978-4-431-55882-8roduced on the signal line which simply shows L-C resonance properties. Due to such behavior, two notches are found about 5.8?GHz (the upper WLAN band 5.15–5.85?GHz) and 8.2?GHz (X-band satellite communication). The entire design is developed on a RT-Duroid substrate of relative permittivity 2.2 and
58#
發(fā)表于 2025-3-31 17:25:29 | 只看該作者
59#
發(fā)表于 2025-3-31 18:45:15 | 只看該作者
60#
發(fā)表于 2025-4-1 01:23:44 | 只看該作者
https://doi.org/10.1007/978-3-540-47336-7 style, shape, and structure associated with individual writings. In this paper, we have made an attempt to compare four different feature extractions cum classifier schemes for handwritten Odia numeral recognition on the basis of recognition accuracy and computational time. It is found that single
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