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Machine learning, image processing, network security and data sciences = select proceedings of 3rd international conference on MIND 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning, image processing, network security and data sciences/ edited by Rajesh Doriya ... [et al.].
Reminder of title:	select proceedings of 3rd international conference on MIND 2021 /
other author:	Doriya, Rajesh.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xviii, 913 p. :ill., digital ;24 cm.
[NT 15003449]:	A Methodological review of Time Series Forecasting with Deep Learning Model : A Case study on Electricity Load and Price Prediction -- A Robust Secure Access Entrance Method Based on Multi Model Biometric Credentials Iris and Finger Print -- Prostate Cancer Grading using Multistage Deep Neural Networks.
Contained By:	Springer Nature eBook
Subject:	Image processing - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-19-5868-7
ISBN:	9789811958687

Machine learning, image processing, network security and data sciences = select proceedings of 3rd international conference on MIND 2021 /
Machine learning, image processing, network security and data sciencesselect proceedings of 3rd international conference on MIND 2021 /[electronic resource] :edited by Rajesh Doriya ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xviii, 913 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 9461876-1119 ;. - Lecture notes in electrical engineering ;v. 946..

A Methodological review of Time Series Forecasting with Deep Learning Model : A Case study on Electricity Load and Price Prediction -- A Robust Secure Access Entrance Method Based on Multi Model Biometric Credentials Iris and Finger Print -- Prostate Cancer Grading using Multistage Deep Neural Networks.

This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.

ISBN: 9789811958687

Standard No.: 10.1007/978-981-19-5868-7doiSubjects--Topical Terms:

623655
Image processing
--Congresses.

LC Class. No.: TA1632 / .M33 2023

Dewey Class. No.: 621.367

Machine learning, image processing, network security and data sciences = select proceedings of 3rd international conference on MIND 2021 /
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505 0 $a A Methodological review of Time Series Forecasting with Deep Learning Model : A Case study on Electricity Load and Price Prediction -- A Robust Secure Access Entrance Method Based on Multi Model Biometric Credentials Iris and Finger Print -- Prostate Cancer Grading using Multistage Deep Neural Networks.
520 $a This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.
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