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Machine learning applications : = from computer vision to robotics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine learning applications :/ edited by Indranath Chatterjee, Sheetal Zalte.
Reminder of title:	from computer vision to robotics /
other author:	Zalte, Sheetal S.
Published:	Hoboken, N.J. :Wiley ; : c2024.,
Description:	xvi, 221 p. :ill. ; : 24 cm.;
Subject:	Deep learning (Machine learning) - Scientific applications. -
ISBN:	9781394173327 (cloth) :

Machine learning applications : = from computer vision to robotics /
Machine learning applications :from computer vision to robotics /edited by Indranath Chatterjee, Sheetal Zalte. - Hoboken, N.J. :Wiley ;c2024. - xvi, 221 p. :ill. ;24 cm.

Includes bibliographical references and index.

Statistical similarity in machine learning -- Development of machine learning-based methodologies for adaptive intelligent e-learning systems and time series analysis techniques -- Time-series forecasting for stock market using convolutional neural networks -- Comparative study for applicability of color histograms for CBIR used for crop leaf disease detection -- Stock Index Forecasting Using RNN-Long Short Term Memory -- Study and analysis of machine learning models for detection of phishing URLs -- Real-world applications of blockchain technology in internet of things -- Advanced persistent threat: Korean cyber security knack model impost and applicability -- Integration of Blockchain Technology and Internet of Things: Challenges and its Solutions -- Machine learning techniques for swot analysis of online education system -- Crop yield and soil moisture prediction using machine learning algorithms. -- Multi-rate signal processing in WSN for channel capacity and energy efficiency using machine learning. -- Introduction to mechanical design of AI-based robotic system.

"Machine learning (ML), and deep learning (DL) technologies are changing virtually every industry around the world. These technologies are increasingly being used in robotics and vehicle automation, and in businesses such as financial services, retail, manufacturing, healthcare, and life sciences. This book details the advances in these technologies and presents case studies on how they can be applied to different domains such as image processing, computer vision, robotics, and more. Comprised of 13 chapters, this book introduces real-world applications of machine and deep learning to healthcare, blockchain technology, cyber security, and climate change completed with case studies, solutions, and use cases for the reader's active learning. With a team of expert contributors, applications to image processing are examined, including medical imaging, pattern recognition, object detection, image segmentation, image transformation, morphological processing and more. An explanation of AI and robotic applications in mechanical design is also discussed including robot-assisted surgeries, security, and space exploration. Aimed at professionals and researchers alike, this book covers a range of important machine and deep learning applications. The editors and contributors describe the importance of each subject area and detail why they are so important to us"--

ISBN: 9781394173327 (cloth) :NT4234

LCCN: 2023043411Subjects--Topical Terms:

1452056
Deep learning (Machine learning)
--Scientific applications.

LC Class. No.: Q325.5 / .M321323 2024

Dewey Class. No.: 006.3/1

Machine learning applications : = from computer vision to robotics /
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245 0 0 $a Machine learning applications : $b from computer vision to robotics / $c edited by Indranath Chatterjee, Sheetal Zalte.
260 # $a Hoboken, N.J. : $b Wiley ; $a Piscataway, NJ : $b IEEE Press, $c c2024.
300 $a xvi, 221 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 # $a Statistical similarity in machine learning -- Development of machine learning-based methodologies for adaptive intelligent e-learning systems and time series analysis techniques -- Time-series forecasting for stock market using convolutional neural networks -- Comparative study for applicability of color histograms for CBIR used for crop leaf disease detection -- Stock Index Forecasting Using RNN-Long Short Term Memory -- Study and analysis of machine learning models for detection of phishing URLs -- Real-world applications of blockchain technology in internet of things -- Advanced persistent threat: Korean cyber security knack model impost and applicability -- Integration of Blockchain Technology and Internet of Things: Challenges and its Solutions -- Machine learning techniques for swot analysis of online education system -- Crop yield and soil moisture prediction using machine learning algorithms. -- Multi-rate signal processing in WSN for channel capacity and energy efficiency using machine learning. -- Introduction to mechanical design of AI-based robotic system.
520 # $a "Machine learning (ML), and deep learning (DL) technologies are changing virtually every industry around the world. These technologies are increasingly being used in robotics and vehicle automation, and in businesses such as financial services, retail, manufacturing, healthcare, and life sciences. This book details the advances in these technologies and presents case studies on how they can be applied to different domains such as image processing, computer vision, robotics, and more. Comprised of 13 chapters, this book introduces real-world applications of machine and deep learning to healthcare, blockchain technology, cyber security, and climate change completed with case studies, solutions, and use cases for the reader's active learning. With a team of expert contributors, applications to image processing are examined, including medical imaging, pattern recognition, object detection, image segmentation, image transformation, morphological processing and more. An explanation of AI and robotic applications in mechanical design is also discussed including robot-assisted surgeries, security, and space exploration. Aimed at professionals and researchers alike, this book covers a range of important machine and deep learning applications. The editors and contributors describe the importance of each subject area and detail why they are so important to us"-- $c Provided by publisher.
650 # 0 $a Deep learning (Machine learning) $x Scientific applications. $3 1452056
650 # 0 $a Deep learning (Machine learning) $x Industrial applications. $3 1452055
650 # 0 $a Machine learning $x Scientific applications. $3 1452054
650 # 0 $a Machine learning $x Industrial applications. $3 805305
700 1 # $a Zalte, Sheetal S. $3 1452053
700 1 # $a Chatterjee, Indranath. $3 1452052