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INTELLIGENT TRANSPORTATION

Posted By: eBookRat
INTELLIGENT TRANSPORTATION

INTELLIGENT TRANSPORTATION AND TELEMATICS SYSTEMS WITH MULTIMEDIA AND AUTONOMOUS VEHICLES
by Aleksandar Stjepanovic

English | March 6, 2024 | ASIN: B0CXFC5FVD | 188 pages | PNG (.rar) | 36 Mb

The Perfect Beginner's Guide to Traffic Generation

Posted By: readerXXI
The Perfect Beginner's Guide to Traffic Generation

The Perfect Beginner's Guide to Traffic Generation: A Step-by-Step Approach to Drive Targeted Traffic to Your Website
by Tobias Chibuike
English | 2023 | ASIN: B0BXK3TMV3 | 43 Pages | ePUB | 0.12 MB

Network Classification for Traffic Management : Anomaly Detection, Feature Selection, Clustering and Classification

Posted By: readerXXI
Network Classification for Traffic Management : Anomaly Detection, Feature Selection, Clustering and Classification

Network Classification for Traffic Management :
Anomaly Detection, Feature Selection, Clustering and Classification

by Zahir Tari, Adil Fahad
English | 2020 | ISBN: 1785619217 | 291 Pages | ePUB | 6.9 MB

Unmanned Aircraft Systems Traffic Management: UTM

Posted By: yoyoloit
Unmanned Aircraft Systems Traffic Management: UTM

Unmanned Aircraft Systems Traffic Management UTM
by Michael Scott Baum

English | 2021 | ISBN: 0367644738 | 343 pages | True PDF | 11.54 MB

Network Classification for Traffic Management : Anomaly Detection, Feature Selection, Clustering and Classification

Posted By: readerXXI
Network Classification for Traffic Management : Anomaly Detection, Feature Selection, Clustering and Classification

Network Classification for Traffic Management :
Anomaly Detection, Feature Selection, Clustering and Classification

by Zahir Tari, Adil Fahad
English | 2020 | ISBN: 1785619217 | 291 Pages | PDF | 6.16 MB

Multi-Objective Optimization: Evolutionary to Hybrid Framework (Repost)

Posted By: AvaxGenius
Multi-Objective Optimization: Evolutionary to Hybrid Framework (Repost)

Multi-Objective Optimization: Evolutionary to Hybrid Framework by Jyotsna K. Mandal
English | PDF,EPUB | 2018 | 326 Pages | ISBN : 9811314705 | 20.24 MB

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms.