Torrent details for "Altan G. Deep Learning in Ad-Hoc Wireless Networks 2025" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
8.1 MB
Info Hash:
A643898C538231A9287511BD3AA85A357456AD7F
Added By:
Added:
April 20, 2026, 6:04 a.m.
Stats:
|
(Last updated: April 20, 2026, 6:04 a.m.)
| File | Size |
|---|---|
| ['Altan G. Deep Learning in Ad-Hoc Wireless Networks 2025.pdf'] | 0 bytes |
Name
DL
Uploader
Size
S/L
Added
-
228.4 MB
[15
/
4]
2023-07-01
| Uploaded by nomdeguerre | Size 228.4 MB | Health [ 15 /4 ] | Added 2023-07-01 |
NOTE
SOURCE: Altan G. Deep Learning in Ad-Hoc Wireless Networks 2025
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By combining advanced AI models with real-world network scenarios, the chapters explore novel solutions for improving network reliability, security, and efficiency. Readers benefit from a multidisciplinary approach that bridges deep learning and wireless communication, offering both theoretical insights and practical frameworks. Targeting researchers, engineers, and graduate students, this work serves as a valuable resource for understanding and implementing deep learning strategies to optimize modern wireless systems. Whether improving IoT networks, securing controller area networks, or enabling smart mobility, the book provides actionable knowledge on Deep Learning applications for solving current and future challenges in ad-hoc wireless networks
×


