Avantgarde Reliability Implications in Civil Engineering
Recent advances in relevant technologies have led to innovative solutions that can achieve reliable, resilient, and sustainable designs. Such characteristics are now considered essential for any newly designed engineering system. Such innovative solutions include applications of artificial intellige...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2023
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_113383 | ||
| 005 | 20230905 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20230905s2023 xx |||||o ||| 0|eng d | ||
| 020 | |a intechopen.102292 | ||
| 020 | |a 9781803551036 | ||
| 020 | |a 9781803551029 | ||
| 020 | |a 9781803551043 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.5772/intechopen.102292 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a TNCC |2 bicssc | |
| 100 | 1 | |a Hassan, Maguid |4 edt | |
| 700 | 1 | |a Hassan, Maguid |4 oth | |
| 245 | 1 | 0 | |a Avantgarde Reliability Implications in Civil Engineering |
| 260 | |b IntechOpen |c 2023 | ||
| 300 | |a 1 electronic resource (128 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Recent advances in relevant technologies have led to innovative solutions that can achieve reliable, resilient, and sustainable designs. Such characteristics are now considered essential for any newly designed engineering system. Such innovative solutions include applications of artificial intelligence in the design of integrated smart systems. This book discusses the implications of new concepts such as sustainability, resilience, health monitoring, and artificial intelligence on the reliability of designed systems. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Soil & rock mechanics |2 bicssc | |
| 653 | |a machine learning | ||
| 653 | |a artificial intelligence | ||
| 653 | |a big data | ||
| 653 | |a automation | ||
| 653 | |a neural networks | ||
| 653 | |a monte carlo simulation | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/11930/authors_book/authors_book.pdf |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/113383 |7 0 |z DOAB: description of the publication |