Titlebook: Networks in the Global World VI; Proceedings of NetGl Artem Antonyuk,Nikita Basov Conference proceedings 2023 The Editor(s) (if applicable)

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充滿人

Kseniia Alikova a training set of labeled articles. A system for automatic categorization of news articles into a standard set of categories has been implemented. The proposed work will use Term Frequency–Inverse Document Frequency (TF-IDF) term weighting scheme for optimization of classification techniques to get

FLUSH

As coronavirus has lot of similarities with other lung diseases, it becomes a challenging task for medical practitioners to identify the virus. A fast and robust system to identify the disease has been the need of the hour. In this chapter, we have used convolutional CapsNet for detecting COVID-19

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Oleksandra Nenko,Anastasia Galaktionovaof Oriented Gradients (HOG) features and radiometric correlation with entropic measures are explored to detect the shot boundaries and the key frames of the lecture video sequences. In the initial stage of the algorithm, HOG feature is used to project all frames into an n-dimensional feature space.

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Instrumental

Larisa Poluboyarinova,Olga Kulishkina,Andrei Zhukov the low light condition and if the video surveillance area is completely dark then the object will not be detected. Hence, in this paper, we propose a method which can increase the accuracy of object detection even in low light conditions. This paper also shows how the light intensity affects the p

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