Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data | Paper Citation Record

Observation 03a9959c-fc66-43ab-b617-e6cefbb63227 · outbound

This paper cites Toward 6G Networks: Use Cases and Technologies,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Toward 6G Networks: Use Cases and Technologies,

Reference 1

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This paper cites Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations,

Reference 2

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This paper cites Connected vehicles: Solutions and challenges,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Connected vehicles: Solutions and challenges,

Reference 3

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Observation c1de3f94-09e3-4eb1-bb95-5228e01cb1ce · outbound

This paper cites LiDAR for autonomous driving: The principles, challenges, and trends for automotive LiDAR and perception systems,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data LiDAR for autonomous driving: The principles, challenges, and trends for automotive LiDAR and perception systems,

Reference 4

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Observation 63bbae1a-44e7-4d46-a390-cff3a69d7684 · outbound

This paper cites Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,

Reference 5

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Observation b9c635ff-61c8-4919-95f5-dab1f47a532c · outbound

This paper cites Enhancements of V2X communication in support of cooperative autonomous driving,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Enhancements of V2X communication in support of cooperative autonomous driving,

Reference 6

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Observation daf7017b-0bc1-449e-83e5-6b9c0b310aed · outbound

This paper cites Value- anticipating V2V communications for cooperative perception,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Value- anticipating V2V communications for cooperative perception,

Reference 7

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Observation 97c64b37-1cd3-4c7f-a13b-b5740ce007ab · outbound

This paper cites SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints,

Reference 8

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Observation b75e0caf-f4f2-4172-9a19-0efb6ec1b9b8 · outbound

This paper cites Toward Standardization of Millimeter-Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Toward Standardization of Millimeter-Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation,

Reference 9

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Observation 61db7dd4-6084-4b74-8131-4055993340ce · outbound

This paper cites Point cloud compression for efficient data broadcasting: A performance com- parison,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Point cloud compression for efficient data broadcasting: A performance com- parison,

Reference 10

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Observation 51cb8360-cd2b-422a-b246-39ae19758cf7 · outbound

This paper cites SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences,

Reference 11

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Observation 8a90baa0-6357-4cd1-bab5-2e3c0b2d29f6 · outbound

This paper cites An overview of ongoing point cloud compression standardization activities: Video-based (V-PCC) and geometry-based (G-PCC),.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data An overview of ongoing point cloud compression standardization activities: Video-based (V-PCC) and geometry-based (G-PCC),

Reference 12

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Observation 47e12cb7-263c-4612-93ad-ec3e2e2123ff · outbound

This paper cites Accuracy versus complexity for mmWave ray-tracing: A full stack perspective,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Accuracy versus complexity for mmWave ray-tracing: A full stack perspective,

Reference 13

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Observation ca6e48d6-956e-48ce-ad34-08f8de72c49c · outbound

This paper cites Stochastic models for generating synthetic HTTP source traffic,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Stochastic models for generating synthetic HTTP source traffic,

Reference 14

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Observation e6bbbfcb-0cc6-468e-bf9f-c8be0e3d2524 · outbound

This paper cites An ns-3 implementation of a bursty traffic framework for virtual reality sources,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data An ns-3 implementation of a bursty traffic framework for virtual reality sources,

Reference 15

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Observation 7df77533-a882-488c-bfba-d8d8b678fecf · outbound

This paper cites Statistical mod- elling of measured automotive radar reflections,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Statistical mod- elling of measured automotive radar reflections,

Reference 16

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Observation b4c73d55-52bc-4989-a123-8c82c008cdbc · outbound

This paper cites Statistical modelling of multi-sensor data fusion,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Statistical modelling of multi-sensor data fusion,

Reference 17

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Observation a719a37f-284a-435f-9ba8-23a61442aa54 · outbound

This paper cites Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation,

Reference 18

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Observation c008fa0c-8eb9-42a1-aae3-0619402a4792 · outbound

This paper cites Application of bootstrap method in Kolmogorov-Smirnov test,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Application of bootstrap method in Kolmogorov-Smirnov test,

Reference 19

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Observation d9a222b2-4e14-4874-a9ca-3613730b2c23 · outbound

This paper cites Millimeter-wave vehicular communication to support massive automotive sensing,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Millimeter-wave vehicular communication to support massive automotive sensing,

Reference 20

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Observation ea71d19a-c14e-449d-afd5-207c52b57109 · outbound

This paper cites Service requirements for enhanced V2X scenarios,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Service requirements for enhanced V2X scenarios,

Reference 21

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Source-reported events for the cited work

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Observation ea1594f3-7afd-4c54-a3ea-1e06574d4222 · outbound

This paper cites A SDN- based fine-grained measurement and modeling approach to vehicular communication network traffic,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data A SDN- based fine-grained measurement and modeling approach to vehicular communication network traffic,

Reference 22

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Observation ae827cc2-bd7e-4d73-a7ac-f40471be96a3 · outbound

This paper cites Network traffic characteristics of machine learning frameworks under the microscope,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Network traffic characteristics of machine learning frameworks under the microscope,

Reference 23

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Observation 417fdbbd-32d2-450a-85a8-3181e9d38a63 · outbound

This paper cites A Survey on 5G Usage Scenarios and Traffic Models,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data A Survey on 5G Usage Scenarios and Traffic Models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.724970Z

Source-reported events for the cited work

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Observation eb993196-480d-4c83-b8c3-a93d1aa10dde · outbound

This paper cites New Traffic Model of M2M Technology in 5G Wireless Sensor Networks,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data New Traffic Model of M2M Technology in 5G Wireless Sensor Networks,

Reference 25

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Observation 23969fa5-1c54-43f5-9839-ac27c7c923ed · outbound

This paper cites State modulated traffic models for machine type communications,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data State modulated traffic models for machine type communications,

Reference 26

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Observation f0a8d409-c558-47c2-a9f1-3ca8b27e3d12 · outbound

This paper cites Comparison of M2M traffic models against real world data sets,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Comparison of M2M traffic models against real world data sets,

Reference 27

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Observation dcb2ed4a-481a-4a66-8d0b-5a059604ca5f · outbound

This paper cites A Survey of IoT Applications in Blockchain Systems: Architecture, Consensus, and Traffic Modeling,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data A Survey of IoT Applications in Blockchain Systems: Architecture, Consensus, and Traffic Modeling,

Reference 28

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Observation 88844528-d505-453e-b2f5-9da837c2cd1d · outbound

This paper cites A survey of VBR video traffic models,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data A survey of VBR video traffic models,

Reference 29

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Observation 0e889204-7462-4527-bfc8-5a107eb2dc0f · outbound

This paper cites Adaptive LSTAR Model for Long-Range Variable Bit Rate Video Traffic Prediction,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Adaptive LSTAR Model for Long-Range Variable Bit Rate Video Traffic Prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.676085Z

Source-reported events for the cited work

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Observation 18ec1cb5-d3ab-4f33-aab3-fcf0447573ff · outbound

This paper cites Temporal characterization of XR traffic with application to predictive network slicing,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Temporal characterization of XR traffic with application to predictive network slicing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.667462Z

Source-reported events for the cited work

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Observation 9dd791e3-97f9-4c63-a4ab-0d8cd6ecc03c · outbound

This paper cites Temporal characterization and prediction of VR traffic: A network slicing use case,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Temporal characterization and prediction of VR traffic: A network slicing use case,

Reference 32

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Source-reported events for the cited work

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Observation 1ec73fba-973c-4dce-b231-7827ff351bac · outbound

This paper cites Coupled Markovian Arrival Process for Automotive Machine Type Communication traffic modeling,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Coupled Markovian Arrival Process for Automotive Machine Type Communication traffic modeling,

Reference 33

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Source-reported events for the cited work

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Observation 1a49256b-4c0e-447e-b633-f3dc7fab698a · outbound

This paper cites Network Traffic Prediction Based on Deep Belief Network and Spa- tiotemporal Compressive Sensing in Wireless Mesh Backbone Networks,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Network Traffic Prediction Based on Deep Belief Network and Spa- tiotemporal Compressive Sensing in Wireless Mesh Backbone Networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.640807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5acc99f4-255f-4202-a3f1-209455c33435 · outbound

This paper cites Long short-term memory neural network for network traffic prediction,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Long short-term memory neural network for network traffic prediction,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.631896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7932e11f-d841-493b-aa37-3c32f74c4f5c · outbound

This paper cites LNTP: An End-to-End Online Prediction Model for Network Traffic,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data LNTP: An End-to-End Online Prediction Model for Network Traffic,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.623532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d0e1555-98d6-44ca-8df7-2ea23e0a7da2 · outbound

This paper cites A Real- Time High-Definition Vehicular Sensor Data Sharing System using Millimeter Wave V2V Communications,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data A Real- Time High-Definition Vehicular Sensor Data Sharing System using Millimeter Wave V2V Communications,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.615185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0385d670-f574-4f7a-a7ff-c9755ec1fe15 · outbound

This paper cites Low-latency high-level data sharing for connected and autonomous vehicular networks,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Low-latency high-level data sharing for connected and autonomous vehicular networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.606498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2706fcb-7843-47be-89b7-13dc39d8401d · outbound

This paper cites RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.598288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb5ec707-77c2-4229-982b-e3c1eb575421 · outbound

This paper cites Draco 3D Data Compression,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Draco 3D Data Compression,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.590431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56e19ef9-3395-4336-a8c2-6affcfb1743c · outbound

This paper cites Graph Attention Convolution for Point Cloud Semantic Segmentation,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Graph Attention Convolution for Point Cloud Semantic Segmentation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.581991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8bb40372-d343-4c54-b1b8-d07d7a1328a1 · outbound

This paper cites SEGCloud: Semantic Segmentation of 3D Point Clouds,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data SEGCloud: Semantic Segmentation of 3D Point Clouds,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.574096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 528fe4c8-f575-49d6-a42a-134aa0f8c6e4 · outbound

This paper cites Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.565624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03e57b84-a19f-4964-8729-53daacbc8027 · outbound

This paper cites PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.557571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2bdb6bd-3221-4156-aeae-641b54276e77 · outbound

This paper cites SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.549380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd79b757-8553-4388-8341-60c67a6e8a7b · outbound

This paper cites Effects of JPEG compression on image classification,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Effects of JPEG compression on image classification,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.540918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c83e212-ef1e-4804-93e4-d973d5e16d0b · outbound

This paper cites First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.532713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3bd0f28-6321-4870-8dbf-fa89374eb477 · outbound

This paper cites Impact of image compression on deep learning-based mammogram classification,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Impact of image compression on deep learning-based mammogram classification,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.524180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3929fed7-28ff-4e22-9834-fec084606916 · outbound

This paper cites Geometric distortion metrics for point cloud compression,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Geometric distortion metrics for point cloud compression,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.515454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4054587-8eb6-4560-8c45-30d32bbf92a3 · outbound

This paper cites The Kolmogorov-Smirnov test for goodness of fit,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data The Kolmogorov-Smirnov test for goodness of fit,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.506597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d75d2099-182c-437a-abba-53b70f300cda · outbound

This paper cites Goodness-of-fit tests when parameters are estimated,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Goodness-of-fit tests when parameters are estimated,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.498026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a3a3301-3b97-42b0-8ff3-a9b3bb0d6838 · outbound

This paper cites Astrostatistics: Goodness-of-fit and all that!.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Astrostatistics: Goodness-of-fit and all that!

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.489579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a07637f8-ba56-49ee-8dc8-680a8b33358b · outbound

This paper cites Network simulations with the ns-3 simulator,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Network simulations with the ns-3 simulator,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.480248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd77abfe-2ef1-4c1c-b0f5-ebe0c6d302bc · outbound

This paper cites MilliCar: An ns-3 module for mmWave NR V2X networks,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data MilliCar: An ns-3 module for mmWave NR V2X networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.471285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 30d6c616-8054-4b00-9bf5-bd10096c3a6a · outbound

This paper cites Recent development and applications of SUMO-Simulation of Urban MObility,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Recent development and applications of SUMO-Simulation of Urban MObility,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.462580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 70fbfbc9-40af-44d6-9dd7-cff59ab58756 · outbound

This paper cites Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.454722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f7d8b8e-096e-4a68-970c-6e719609af89 · outbound

This paper cites An Open Framework for Analyzing and Modeling XR Network Traffic,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data An Open Framework for Analyzing and Modeling XR Network Traffic,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.446508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dbd32100-749b-40a9-afd7-7267432a357d · outbound

This paper cites End-to-end simulation of 5g mmwave networks,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data End-to-end simulation of 5g mmwave networks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.438073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81a58cc6-351b-4f04-be34-ec62e73fb2a9 · outbound

This paper cites An LTE module for the ns-3 network simulator,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data An LTE module for the ns-3 network simulator,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.428926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2e09eb9-b6a9-4e0b-a53e-c7385d4177a0 · outbound

This paper cites Sampling Student’s T distribution-use of the inverse cumulative distribution function,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Sampling Student’s T distribution-use of the inverse cumulative distribution function,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.419639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0641446-b14e-4aae-ae8b-f18d55ffb9d4 · outbound

This paper cites an unresolved cited work.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:02:40.410433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b76b9f57-d8d5-458c-9c19-9fd1956a0b7a · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.401103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d33afc6-66bb-4029-8029-d4a2ecb1a807 · outbound

This paper cites Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.391931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3dda64e7-7223-404c-958f-81c1c4435454 · outbound

This paper cites A reinforcement learning framework for PQoS in a teleoperated driving scenario,.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data A reinforcement learning framework for PQoS in a teleoperated driving scenario,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:02:40.381757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d94d99ee-21e3-4082-a7fa-442352ad739a · outbound

This paper cites Federated Reinforcement Learning to Optimize Teleoperated Driving Networks.

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data Federated Reinforcement Learning to Optimize Teleoperated Driving Networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T12:02:40.340938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers