| Judul | Internet of Things and Artificial Intelligence in Transportation Revolution / Edited by: Miltiadis D. Lytras; Kwok Tai Chui; Ryan Wen Liu |
| Pengarang | Lytras, Miltiadis D. Chui, Kwok Tai Liu, Ryan Wen |
| EDISI | - |
| Penerbitan | Basel : MDPI, 2021 |
| Deskripsi Fisik | 234p. :ill. |
| ISBN | 978-3-0365-0311-0 |
| Subjek | ARTIFICIAL INTELLIGENCE - ENGINEERING APPLICATIONS |
| Catatan | The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learn |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://directory.doabooks.org/handle/20.500.12854/68570 https://oer.unair.ac.id/files/original/0404f24964ce882f2fb6682dcbf91ba4.pdf |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 298025192 | 006 Int | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000161793 | ||
| 005 | 20250516102646 | ||
| 007 | ta | ||
| 008 | 250516################|##########|#|## | ||
| 020 | # | # | $a 978-3-0365-0311-0 |
| 035 | # | # | $a 0010-0525000565 |
| 082 | # | # | $a 006 |
| 084 | # | # | $a 006 Int |
| 245 | # | # | $a Internet of Things and Artificial Intelligence in Transportation Revolution /$c Edited by: Miltiadis D. Lytras; Kwok Tai Chui; Ryan Wen Liu |
| 250 | # | # | $a - |
| 260 | # | # | $a Basel :$b MDPI,$c 2021 |
| 300 | # | # | $a 234p. : $b ill. |
| 505 | # | # | $a The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions. |
| 650 | # | # | $a ARTIFICIAL INTELLIGENCE - ENGINEERING APPLICATIONS |
| 700 | 1 | # | $a Chui, Kwok Tai |
| 700 | 1 | # | $a Liu, Ryan Wen |
| 700 | 1 | # | $a Lytras, Miltiadis D. |
| 856 | # | # | $a https://directory.doabooks.org/handle/20.500.12854/68570 |
| 856 | # | # | $a https://oer.unair.ac.id/files/original/0404f24964ce882f2fb6682dcbf91ba4.pdf |
| 990 | # | # | $a 298025192 |
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