國立高雄大學圖資館 |

Building intelligent systems using machine learning and deep learning :security, applications and its challenges /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Building intelligent systems using machine learning and deep learning :Abhaya Kumar Sahoo, Chittaranjan Pradhan, Bhabani Shankar Prasad Mishra, Brojo Kishore Mishra.
Reminder of title:	security, applications and its challenges /
other author:	Kumar Sahoo, Abhaya,
Description:	ix, 224p. :illustrations ;24 cm.
Subject:	Artificial intelligenceIndustrial applications.
ISBN:	9798891133891

Building intelligent systems using machine learning and deep learning :security, applications and its challenges /
Building intelligent systems using machine learning and deep learning :security, applications and its challenges /Abhaya Kumar Sahoo, Chittaranjan Pradhan, Bhabani Shankar Prasad Mishra, Brojo Kishore Mishra. - ix, 224p. :illustrations ;24 cm. - Computational mathematics and analysis.

Includes bibliographical references and index.

Intelligent systems for future applications using machine learning / Anil Kumar Meher, Abhaya Kumar Sahoo, and Rekhanjali Sahoo -- Fundamental models in intelligent systems using machine learning and deep learning / R. Rathi, E. P. Ephzibah, V. Mareeswari, P. Visvanathan, R. Kanchana and E. Deepakraj -- A comparative analysis of machine learning algorithms on intrusion detection systems / Vijayan R., Mareeswari V., Rathi R., Ephzibah EP,and Harshitha KSR -- A novel approach for requirement-based test case prioritization using machine learning techniques / Aishwaryarani Behera, Arup Abhinna Acharya, Sanjukta Mohanty, and Namita Panda -- The detection and prevention of phishing threats in OSN using machine learning techniques / Smrutisrita Samal, Sanjukta Mohanty, and Arup Abhinna Acharya -- A novel approach to detecting apple disease using CNN / Chittaranjan Pradha, Mritunjay Kumar, Divyansi Mishra and Biswaroop Nath -- A novel sigmoid butterfly optimization deep learning model for big data classification / R. Umanesan, R. Kanchana, R. Rathi ,and P. Visvanathan -- An analysis of optical character recognition-based machine translation for low resource languages / P. Mahesha, Trisiladevi C. Nagavi, Harshitha L. P., Swathi Alse and Shifali B. Shetty -- Generative AI for bio-signal analysis and augmentation / Shiyona Dash, Ashis Kumar Parida, Kunal Pal,and Mirza Khalid Baig -- Deep learning for the closed loop diabetes management system / Deepjyoti Kalita, Hrishita Sharma, Ujjal Naskar, Bikash Kumar Mishra, Jayanta Kumar Panda, and Khalid B. Mirza -- Digital image spatial feature learning and mapping using geospatial artificial intelligence : a case study / Ajay Kumar, Jay Prakash Singh, Deepjyoti Choudhury, Vivek Kumar and Sunil Kumar Bisoyi.

"The primary objective of this book is to provide insight into the design and development of the intelligent system. The proposed book volume mainly focuses on a machine learning and deep learning-based intelligent system that would bring out the latest trends in the field of tourism, healthcare, agriculture, etc. This book provides security solutions for the intelligent system in different applications. The technological gaps between the traditional system and intelligent system are mentioned in the book, which will help in better understanding for the implementation of the intelligent system using machine learning (ML) and deep learning (DL) approaches. Although ML and DL have made great achievements in intelligent systems, there are still substantial open challenges that have not been fully studied. The main open challenges of using ML and DL in intelligent systems are: (i) Better performance of the system (ii) Time complexity of the jobs running inside an intelligent system (iii) Managing overload tasks (iv) Providing security towards the system. This book will definitely help academicians, researchers and industry people towards the security, design and development of the intelligent system"--

ISBN: 9798891133891

LCCN: 2023053631Subjects--Topical Terms:

524554
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78

Dewey Class. No.: 670.28563

Building intelligent systems using machine learning and deep learning :security, applications and its challenges /
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020 $a 9798891133891 $q (adobe pdf)
020 $z 9798891133426 $q (hardcover)
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035 $a on1432456292
040 $a DLC $b eng $e rda $c DLC $d OCLCO
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050 0 0 $a TA347.A78
082 0 0 $a 670.28563 $2 23/eng/20240716
245 0 0 $a Building intelligent systems using machine learning and deep learning : $b security, applications and its challenges / $c Abhaya Kumar Sahoo, Chittaranjan Pradhan, Bhabani Shankar Prasad Mishra, Brojo Kishore Mishra.
264 1 $a New York : $b Nova Science Publishers, $c [2023]
300 $a ix, 224p. : $b illustrations ; $c 24 cm.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 0 $a Computational mathematics and analysis
490 0 $a Computer science, technology and applications
504 $a Includes bibliographical references and index.
505 0 $a Intelligent systems for future applications using machine learning / Anil Kumar Meher, Abhaya Kumar Sahoo, and Rekhanjali Sahoo -- Fundamental models in intelligent systems using machine learning and deep learning / R. Rathi, E. P. Ephzibah, V. Mareeswari, P. Visvanathan, R. Kanchana and E. Deepakraj -- A comparative analysis of machine learning algorithms on intrusion detection systems / Vijayan R., Mareeswari V., Rathi R., Ephzibah EP,and Harshitha KSR -- A novel approach for requirement-based test case prioritization using machine learning techniques / Aishwaryarani Behera, Arup Abhinna Acharya, Sanjukta Mohanty, and Namita Panda -- The detection and prevention of phishing threats in OSN using machine learning techniques / Smrutisrita Samal, Sanjukta Mohanty, and Arup Abhinna Acharya -- A novel approach to detecting apple disease using CNN / Chittaranjan Pradha, Mritunjay Kumar, Divyansi Mishra and Biswaroop Nath -- A novel sigmoid butterfly optimization deep learning model for big data classification / R. Umanesan, R. Kanchana, R. Rathi ,and P. Visvanathan -- An analysis of optical character recognition-based machine translation for low resource languages / P. Mahesha, Trisiladevi C. Nagavi, Harshitha L. P., Swathi Alse and Shifali B. Shetty -- Generative AI for bio-signal analysis and augmentation / Shiyona Dash, Ashis Kumar Parida, Kunal Pal,and Mirza Khalid Baig -- Deep learning for the closed loop diabetes management system / Deepjyoti Kalita, Hrishita Sharma, Ujjal Naskar, Bikash Kumar Mishra, Jayanta Kumar Panda, and Khalid B. Mirza -- Digital image spatial feature learning and mapping using geospatial artificial intelligence : a case study / Ajay Kumar, Jay Prakash Singh, Deepjyoti Choudhury, Vivek Kumar and Sunil Kumar Bisoyi.
520 $a "The primary objective of this book is to provide insight into the design and development of the intelligent system. The proposed book volume mainly focuses on a machine learning and deep learning-based intelligent system that would bring out the latest trends in the field of tourism, healthcare, agriculture, etc. This book provides security solutions for the intelligent system in different applications. The technological gaps between the traditional system and intelligent system are mentioned in the book, which will help in better understanding for the implementation of the intelligent system using machine learning (ML) and deep learning (DL) approaches. Although ML and DL have made great achievements in intelligent systems, there are still substantial open challenges that have not been fully studied. The main open challenges of using ML and DL in intelligent systems are: (i) Better performance of the system (ii) Time complexity of the jobs running inside an intelligent system (iii) Managing overload tasks (iv) Providing security towards the system. This book will definitely help academicians, researchers and industry people towards the security, design and development of the intelligent system"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher; resource not viewed.
650 0 $a Artificial intelligence $x Industrial applications. $3 524554
650 6 $a Intelligence artificielle $x Applications industrielles. $0 (CaQQLa)201-0374039 $3 974386
700 1 $a Kumar Sahoo, Abhaya, $e editor. $3 1009512
700 1 $a Pradhan, Chittaranjan, $e editor. $3 926689
700 1 $a Mishra, Bhabani Shankar Prasad, $e editor. $3 1009513
700 1 $a Mishra, Brojo Kishore, $d 1979- $e editor. $3 807985
776 0 8 $i Print version: $t Building intelligent systems using machine learning and deep learning $d New York : Nova Science Publishers, [2023] $z 9798891133426 $w (DLC) 2023053630
938 $a YBP Library Services $b YANK $n 20629530
994 $a C0 $b TWNUK