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Titlebook: Intelligent Computing: Image Processing Based Applications; J. K. Mandal,Soumen Banerjee Book 2020 Springer Nature Singapore Pte Ltd. 2020

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发表于 2025-3-21 19:03:20 | 显示全部楼层 |阅读模式
书目名称Intelligent Computing: Image Processing Based Applications
编辑J. K. Mandal,Soumen Banerjee
视频video
概述Presents the latest trends in image-processing-based applications.Discusses intelligent decision-making-based neuro-fuzzy applications in image processing and image analytics.Covers a range of areas,
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Intelligent Computing: Image Processing Based Applications;  J. K. Mandal,Soumen Banerjee Book 2020 Springer Nature Singapore Pte Ltd. 2020
描述.This book features a collection of extended versions of papers presented at OPTRONIX 2019, held at the University of Engineering & Management, Kolkata, India, on 18 – 20, March 2019. It includes research on the detection of skin disease, breast tumors, lung cancer and rotten fruit based on intelligent image processing applications, intelligent computing, neuro-fuzzy applications, soil moisture prediction, intelligent encryption and authentication, as well as image analysis and image analytics..
出版日期Book 2020
关键词Intelligent Computing; Image Processing; Artificial Neural Network; Intelligent Bio Computing; Security
版次1
doihttps://doi.org/10.1007/978-981-15-4288-6
isbn_softcover978-981-15-4287-9
isbn_ebook978-981-15-4288-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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A Review of Object Detection Models Based on Convolutional Neural Network,ed some popular state-of-the-art object detection models based on CNN. We have made a categorization of those detection models according to two different approaches: two-stage approach and one-stage approach. Herein, we have explored different gradual developments in two-stage object detection model
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Cancerous Cell Detection Using Affine Transformation with Higher Accuracy and Sensitivity,sis. Accuracy, sensitivity and specificity of a few images are calculated for the affected cells, where results provide less confusion value of transformed images than the originals. Authenticity of the cell is investigated by computing true and false positive and negative rates. Difference in maxim
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