AI-based advanced optimization techniques for edge computing / (Record no. 141635)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01869nam a22002657a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260724122826.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260724s2025 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781394287031 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | PK-LaUMT |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | AIB- |
| 245 00 - TITLE STATEMENT | |
| Title | AI-based advanced optimization techniques for edge computing / |
| Statement of responsibility, etc | edited by Mohit Kumar . . . [et al.] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Hoboken : |
| Name of publisher, distributor, etc | John Wiley & Sons, Inc., |
| Date of publication, distribution, etc | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvii, 460 p. |
| 490 ## - SERIES STATEMENT | |
| Series statement | Advances in learning analytics for intelligent cloud-IoT systems |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges and future opportunities in this rapidly evolving field. This book focuses on artificial intelligence-induced adaptive optimization algorithms in fog and Edge IoT networks. Artificial intelligence, fog, and edge computing, together with IoT, are the next generation of paradigms offering services to people to improve existing services for real-time applications. Over the past few years, there has been rigorous growth in AI-based optimization algorithms and Edge and IoT paradigms. However, despite several applications and advancements, there are still some limitations and challenges to address including security, adaptive, complex, and heterogeneous IoT networks, protocols, intelligent offloading decisions, latency, energy consumption, service allocation, and network lifetime. |
| 546 ## - LANGUAGE NOTE | |
| Language note | Eng |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Edge computing-Technological innovations |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mohit Kumar |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Srivastava, Gautam |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Singh, Ashutosh Kumar |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dubey, Kalka |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| UMT Main Campus | UMT Main Campus | 2026-07-24 | 006.31 AIB- | 153529 | 2026-07-24 | 2026-07-24 | Books |