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Conference

MARIO: Multi-Agent Resilience Framework for Network Slicing in Tactical Networks

Subjects: Network Slicing; Tactical Network; SecurityMontrealMontreal, Canada

  • Source: DDINS 2025 - 7th International Workshop on Data Driven Intelligence for Networks and Systems ; https://inria.hal.science/hal-05018410 ; DDINS 2025 - 7th International Workshop on Data Driven

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Conference

Informative and Communication-Efficient Multi-Agent Path Planning for Pollution Plume Monitoring

Subjects: Pollution Plume Monitoring; Mutual Information; Communication CostsPerth; Australia

  • Source: WoWMoM 2024 - 25th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks ; https://inria.hal.science/hal-04604336 ; WoWMoM 2024 - 25th IEEE International Symposium on a

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Conference

A glimpse at the first results of the AutoBehave project: a multidisciplinary approach to evaluate the usage of our travel time in self-driving cars

Subjects: Self-driving Cars; Multimodal Perception; Computer VisionParis; France

  • Source: RoBustness and Reliability of Autonomous Vehicles in the Open-world workshop in conjunction with International Conference on Computer Vision ; https://hal.science/hal-04331707 ; RoBustness and

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Conference

A Prediction Framework for Lifestyle-Related Disease Prediction Using Healthcare Data

Subjects: Machine Learning; Missing values; Lifestyle-related diseases Prediction Machine Learning Missing valuesCHENGDU; China

  • Source: Conference Publishing Services (CPS) ; 3rd International Conference on Big Data Engineering and Education (BDEE 2023) ; https://hal.science/hal-04188124 ; 3rd International Conference on Big Data

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Conference

Stochastic departure time user equilibrium with heterogeneous trip profile

Subjects: traffic congestion; peak-hour traffic dynamics; macroscopic modelLeuven; Belgium

  • Source: The 10th symposium of the European Association for Research in Transportation (hEART) ; https://hal.science/hal-03680843 ; The 10th symposium of the European Association for Research in Transportation

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Report

AutoExp: A multidisciplinary, multi-sensor framework to evaluate the acceptability of self-driving cars

Subjects: activity analysis; self-driving cars; computer vision

  • Source: https://hal.science/hal-03825090 ; [Research Report] LIRIS UMR 5205 CNRS/INSA de Lyon/Université Claude Bernard Lyon 1/Université Lumière Lyon 2/École Centrale de Lyon. 2022.

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