NS2-VEHICULAR TECHNOLOGY 2022-2023

An IEEE Master’s is a solid choice for tech enthusiasts. It delves deep into cutting-edge topics like artificial intelligence, wireless communication, and robotics. The program is all about hands-on experience, letting you apply theoretical knowledge to real-world problems. You’ll be rubbing shoulders with top-notch professionals, expanding your network in the tech realm. The curriculum is dynamic, keeping up with the ever-evolving tech landscape. From coding to advanced algorithms, it’s a tech geek’s paradise. Plus, you get to work on cool projects that can potentially shape the future. No BS, just straight-up tech excellence. If you’re all about pushing boundaries and want to level up your game, an IEEE Master’s is where it’s at.

NS2-VEHICULAR TECHNOLOGY 2022-2023

TITLE DOWNLOAD
A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks PDF/DOC
A Conditional Privacy-Preserving Certificateless Aggregate Signature Scheme in the Standard Model for VANETs PDF/DOC
A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing PDF/DOC
A novelty of Hypergraph Clustering Model (HGCM) for Urban Scenario in VANET PDF/DOC
A Survey of Vehicular Network Systems for Road Traffic Management PDF/DOC
An Intelligent Machine Learning Based Routing Scheme for VANET PDF/DOC
Cauchy Density-based Algorithm for VANETs Clustering in 3D Road Environments PDF/DOC
CTMF Context-Aware Trust Management Framework for Internet of Vehicles PDF/DOC
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network PDF/DOC
Data Dissemination in VANETs Using Clustering and Probabilistic Forwarding Based on Adaptive Jumping Multi-Objective Firefly Optimization PDF/DOC
Energy and Age Pareto Optimal Trajectories in UAVassisted Wireless Data Collection PDF/DOC
A Comprehensive Survey on Cooperative Intersection Management for Heterogeneous Connected Vehicles PDF/DOC
A Novel Deep Reinforcement Learning based Relay Selection for Broadcasting in Vehicular Ad hoc Networks PDF/DOC
Communication-efficient Coordinated RSS-based Distributed Passive Localization via Drone Cluster PDF/DOC
Detecting Sybil Attacks using Proofs of Work and Location in VANETs PDF/DOC
Enhanced Wi-Fi RTT Ranging A Sensor-Aided Learning Approach PDF/DOC
Impact of Block Data Components on the Performance of Blockchain-based VANET Implemented on Hyperledger Fabric PDF/DOC
Index Coded – NOMA in Vehicular Ad Hoc Networks PDF/DOC
Machine_Learning_Based_Misbehaviour_Detection_in_VA NET_Using_Consecutive_BSM_Approach PDF/DOC
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric LearMisbehavior Detection for Position Falsification Attacks in VANETs Using Machine Learningning PDF/DOC