Titlebook: Cognition and Recognition; 8th International Co D. S. Guru,Sharath Kumar Y. H.,Manabu Ichino Conference proceedings 2022 The Editor(s) (if

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Die Perspektivität von PersonenSVM-RFE main drawback was a significant amount of time consumption in the process. Therefore, efficient deployment of linear Support Vector Machine was introduced to overcome this issue. At the same time, Recursive Feature Elimination (RFE) was improvised with the technique known as the variable ste

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CREST

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An Automated CAD System for Classification of Lung Module,ges. The classification of nodule and non-nodule patterns in CT is one of the most significant processes during the detection of lung nodule. This helps in detecting the disease at early stage thereby decrease the mortality rate. The developed CAD systems consist of segmentation, feature extraction

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An Hybrid Method for Fingerprint Image Classification,is performed. The main objective of feature is to reduce the amount of features and computational costs while also improving performance. It has been proved that feature reduction technique is to remove the redundant and irrelevant feature, so it improves the efficiency of classification. In this re

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BIDE

MUMP

Approach to Machine Learning for Secured Cloud Computing,nefits that we are driving in our day-to-day lives. Specifically in security there is clearly benefits of speed and accuracy that when we can bring to our applications to our infrastructure to protect the citizens that are using our applications. So, as long as the end is identified or the goal is i

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Character Recognition in Scene Images Using MSER and CNN,ally impaired, traffic monitoring, Automatic driving assistance systems etc., Text detection has stimulated new research avenues in area of computer vision Text detection is a trivial task because of varying color, font face and size, orientation of text against complex background. A diversity of de