Titlebook: Intelligent Learning for Computer Vision; Proceedings of Congr Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 20

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Design and Implementation of Traffic Sign Classifier Using Machine Learning Model,e. One of the important advancements took place in development of autonomous cars. It was one of the long-standing points of research for scientists. The crucial components of any autonomous car are being able to recognize traffic signs. Traffic signs serve as the non-verbal communication channel on

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Text Document Orientation Detection Using Convolutional Neural Networks,by documents in one or another way. In this paper, our emphasis is on the more challenging task of identifying and correcting the disorientation of general text documents back to normal orientation. Our work aims to solve the real-world problem of orientation detection of documents in PDF forms whic

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Improved Image Super-resolution Using Enhanced Generative Adversarial Network a Comparative Study, convolutional neural networks-based models are becoming a favorite choice of researchers in image processing and analysis as it generates more accurate results compared to conventional methods. Recent works on image super-resolution have mainly focused on minimizing the mean squared reconstruction

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Comparative Study of Supervised Machine Learning Algorithms for Healthcare Dataset Using Orange,omputer algorithms that is used for identifying the hidden pattern and forecasting. In this paper, seven supervised machine learning algorithms are compared with three datasets of heart disease patients, diabetes patients, and depression patients. These seven algorithms are decision tree, logistic r

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IoT Security: A Survey of Issues, Attacks and Defences,nnecting IoT devices to the Internet, IoT security becomes the important issue. In this paper, we explain the recent case studies of attacks on IoT devices and network along with vulnerabilities behind each attack. We enlist reasons behind these attacks along with preventive measures to make the IoT

Myofibrils

Detecting the Nuclei in Different Pictures Using Region Convolutional Neural Networks, comprises about 30 trillion cells and each of them encompasses a nucleus, which is brimming with DNA, the hereditary code that programs every cell. Recognizing nuclei enables researchers to distinguish every individual cell under investigation, and by estimating how cells respond to different medic

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Hyun Woo Jung,Young Hwan Choi,Donghwi Jung,Joong Hoon Kim