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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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https://doi.org/10.1007/978-3-540-47336-7ng process where a seed point from seed block is extracted and processed to obtain the desired result. The results of second approach of the proposed method are very efficient through visual inspection.
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2367-3370 ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha,.This book features high-quality research papers presented at the 2nd International Conference on Intelligent Computing and Advances in Communication (ICAC 2019), held at Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, I
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https://doi.org/10.1007/978-3-540-47336-7 cum classifier schemes for handwritten Odia numeral recognition on the basis of recognition accuracy and computational time. It is found that single decision tree is better in terms of computational time whereas Support Vector Machine (SVM) is better in terms of recognition accuracy.
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https://doi.org/10.1007/3-540-31218-8nel models and network size, based on specified performance metrics. Based on the comparative studies, the analysis provides the recommendation for selection of appropriate routing protocols, suitable wireless channel model and control of vehicular mobility in dense network environment for improved quality of service.
发表于 2025-3-27 19:03:13 | 显示全部楼层
https://doi.org/10.1007/978-3-642-74748-9ting terminal, and after the comparison, if the incoming voltage falls below the reference voltage then the output of op-amp initiates the GPIO pin of Pi to indicate the fault status on database. Also, an experiment is conducted by using two Scientech 2506 fibre optic kits in the laboratory for physical realization of the whole system.
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The Distribution of the Closed Orbits,has shown to outperform both the RBFN and the GMM with low feature dimension, whereas the GMM shows an improved result for large feature dimensions. The combination of wavelet-based MFCCs and their dynamics remains more discriminative in classifying speech emotions as compared to either the MFCCs or wavelets acted alone.
发表于 2025-3-28 08:41:07 | 显示全部楼层
https://doi.org/10.1007/978-3-540-47336-7on Odia character. In this research work, we have used a multilayer feed-forward network with backpropagation for the recognition. Also, a few comparisons we have done on this scenario. In pre-processing, we have applied some basic algorithms for de-noising, segmentation, normalizing of characters, etc.
发表于 2025-3-28 11:17:40 | 显示全部楼层
https://doi.org/10.1007/978-3-540-47336-7of shadows can be incorrectly recognized leading to a higher false rate detection. This paper attempts a simple and efficient algorithm to detect shadows in an image by finding out the shadow ratio and calculating the threshold and then creating a shadow boundary.
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