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Titlebook: Sustainable Communication Networks and Application; Proceedings of ICSC P. Karrupusamy,Valentina Emilia Balas,Yong Shi Conference proceedi

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楼主: 恶梦
发表于 2025-3-30 11:30:36 | 显示全部楼层
Knowledge Base Creation for Prediction and Detection of Forest Fire,ntually leading to quick response time and thus mitigating the loss due to forest fires. In our study, we have extracted texture features such as contrast, energy, entropy, correlation, color feature, normalized difference vegetation index (NDVI), and land surface temperature (LST) of Landsat 8 sate
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A Study on Machine Learning-Based Approaches for PM2.5 Prediction,m capability to learn automatically from the data, and hence, it can be applied for the successful prediction of air quality. In this paper, various machine learning methods available to predict the particulate matter 2.5 from time series data are discussed.
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Dynamic Face Recognition System Using Histogram of Oriented Gradients and Deep Neural Network,ark detection to obtain a centered face image which is fed as input to the deep neural network for face recognition. The proposed model gives an accuracy of 94.44% and is also implemented on video. This model can be used for biometric attendance systems.
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Bhagyashri Zodge,Jyoti Joglekarased on face-to-face stacking. Having attached itself to the surface of a nanotube, a dye molecule may attract other similarly oriented molecules, giving rise to a protruding supramolecular appendage. This explains the high affinity of CR for nanotubes and the resulting system’s capability to bind d
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