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Deep learning for Internet of things infrastructure (Record no. 6341)

000 -LEADER
fixed length control field 03645 a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509155924.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220509b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367457334
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.678
Item number DEE
245 ## - TITLE STATEMENT
Title Deep learning for Internet of things infrastructure
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2021
Place of publication, distribution, etc. Baco Raton
300 ## - PHYSICAL DESCRIPTION
Extent 248p.
500 ## - GENERAL NOTE
General note Table of Contents:<br/><br/>Chapter 1 Data Caching at Fog Nodes under IoT Networks: Review of Machine Learning Approaches <br/>Chapter 2 ECC-Based Privacy-Preserving Mechanisms Using Deep Learning for Industrial IoT: A State-of-the-Art Approaches <br/>Chapter 3 Contemporary Developments and Technologies in Deep Learning-Based IoT <br/>Chapter 4 Deep Learning-Assisted Vehicle Counting for Intersection and Traffic Management in Smart Cities <br/>Chapter 5 Toward Rapid Development and Deployment of Machine Learning Pipelines across Cloud-Edge <br/>Chapter 6 Category Identification Technique by a Semantic Feature Generation Algorithm <br/>Chapter 7 Role of Deep Learning Algorithms in Securing Internet of Things Applications <br/>Chapter 8 Deep Learning and IoT in Ophthalmology <br/>Chapter 9 Deep Learning in IoT-Based Healthcare Applications <br/>Chapter 10 Authentication and Access Control for IoT Devices and Its Applications <br/>Chapter 11 Deep Neural Network-Based Security Model for IoT Device Network.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end-users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end-users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Internet of things
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Ghosh, Uttam, ed.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Alazab, Mamoun, ed.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Bashir, Ali Kashif, ed.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 5542
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 5733
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
          Non-fiction IIMJ Library IIMJ Library General Stacks 05/04/2022 Bharatiya Sahitya Bhavana 6882.81 1 004.678 DEE 6110 17/06/2022 07/06/2022 10588.94 05/04/2022 Books
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