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Machine Learning, Image Processing, Network Security and Data Sciences [electronic resource] : Select Proceedings of 3rd International Conference on MIND 2021 /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Electrical Engineering ; 946Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XVIII, 913 p. 410 illus., 331 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811958687
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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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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. .

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