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