Ion Turcanu Ion Turcanu
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    • Network Digital Twins for 6G: Defining Data Taxonomy and Data Models
    • Enhancing Throughput in 5G-NTN through Early RLC Layer Retransmissions
    • A Co-Simulation Approach of Blockchain Connected Last-Mile Delivery Using Autonomous Robots
    • AoI-Aware and Persistence-Driven Congestion Control in 5G NR-V2X Sidelink Communications
    • Mitigating Collisions in Sidelink NR V2X: A Study on Cooperative Resource Allocation
    • Integrating Network Digital Twinning into Future AI-Based 6G Systems: The 6G-TWIN Vision
    • Cross-Validating Open Source In-Vehicle TSN Simulation Models With a COTS Hardware Testbed
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    • Poster: Evaluating the Potential of Mode 2(b) Resource Allocation in NR V2X Sidelink
    • Understanding the impact of persistence and propagation on the Age of Information of broadcast traffic in 5G NR-V2X sidelink communications
    • On the Integration of Digital Twin Networks into City Digital Twins: Benefits and Challenges
    • Impact of Persistence on the Age of Information in 5G NR-V2X Sidelink Communications
    • Poster: A Case for Heterogenous Co-Simulation of Cooperative and Autonomous Driving
    • A Survey on Controller Area Network Reverse Engineering
    • On Flow Control and Optimized Back-Off in Non-Saturated CSMA
    • Preventing Frame Fingerprinting in Controller Area Network Through Traffic Mutation
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    • On Frame Fingerprinting and Controller Area Networks Security in Connected Vehicles
    • Poster: A Methodology for Semi-Automated CAN Bus Reverse Engineering
    • Poster: Potentials of Mixing TSN Wired Networks and Best-Effort Wireless Networks for V2X
    • CANMatch: A Fully Automated Tool for CAN Bus Reverse Engineering based on Frame Matching
    • To Buffer or Not To Buffer: IEEE 802.11p/bd Performance Under Different Buffering Strategies
    • An Age-Of-Information Perspective on Decentralized Congestion Control in Vehicular Networks
    • Age of Information in IEEE 802.11p
    • Adaptive Content Seeding for Information-Centric Networking under High Topology Dynamics: Where You Seed Matters
    • Towards 2-Hop Neighbor Management for Heterogeneous Vehicular Networks
    • A Data-Driven Minimal Approach for CAN Bus Reverse Engineering
    • DeepNDN: Opportunistic Data Replication and Caching in Support of Vehicular Named Data
    • Age of Information of One-Hop Broadcast Communications in a CSMA Network
    • A multi-hop broadcast wave approach for floating car data collection in vehicular networks
    • Fog Seeding Strategies for Information-Centric Heterogeneous Vehicular Networks
    • Experimental Evaluation of Floating Car Data Collection Protocols in Vehicular Networks
    • Traffic management and networking for autonomous vehicular highway systems
    • Multi-Access Edge Computing for Vehicular Networks: A Position Paper
    • Performance Evaluation of an Open-Source Audio-Video Bridging/Time-Sensitive Networking Testbed for Automotive Ethernet
    • Duplicate suppression for efficient floating car data collection in heterogeneous LTE-DSRC vehicular networks
    • Integrated Wireless Access and Networking to Support Floating Car Data Collection in Vehicular Networks
    • A Model for the Optimization of Beacon Message Age-of-Information in a VANET
    • Heterogeneous cellular and DSRC networking for Floating Car Data collection in urban areas
    • Pick the right guy: CQI-based LTE forwarder selection in VANETs
    • An integrated VANET-based data dissemination and collection protocol for complex urban scenarios
    • Traffic monitoring and incident detection using cellular and early stage VANET technology deployment
    • LTE floating car data application off-loading via VANET driven clustering formation
    • DISCOVER: A Unified Protocol for Data Dissemination and Collection in VANETs
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PyTorch

Thu, 26 Oct 2023 · 1 min read
Go to Project Site

PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

Last updated on Thu, 26 Oct 2023
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