Results 31 to 40 of about 5,220,122 (327)

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
As self-driving systems become better, simulating scenarios where the autonomy stack may fail becomes more important. Traditionally, those scenarios are generated for a few scenes with respect to the planning module that takes ground-truth actor states ...
Jingkang Wang   +7 more
semanticscholar   +1 more source

NUCLEAR INCIDENT (MALFUNCTION, BOMBARDMENT OR TERROR) AROUND THE WORLD, LEVEL OF PREPAREDNESS AND CHALLENGING ACCEPTED REFERENCE SCENARIOS

open access: yesStudia Universitatis Babeş-Bolyai. Studia Europaea, 2019
The rate of construction of nuclear reactors in the world that supply energy, the geopolitical situation such as with North Korea, Iran, and the rising tensions between the world powers raise the question of whether and when a large nuclear incident ...
Ori Nissim LEVI
doaj   +1 more source

A Review of Changes in Mountain Land Use and Ecosystem Services: From Theory to Practice

open access: yesLand, 2020
Global changes impact the human-environment relationship, and, in particular, they affect the provision of ecosystem services. Mountain ecosystems provide a wide range of such services, but they are highly sensitive and vulnerable to change due to ...
Ileana Pătru-Stupariu   +6 more
doaj   +1 more source

A Map Of Uses Of Impact Evaluation Approaches

open access: yesJournal of MultiDisciplinary Evaluation
Background: Not all evaluation practitioners are experts in the diversity of impact evaluation approaches. How can these approaches be made clear and accessible? How can practitioners be better able to choose the relevant one? A collaborative project was
Thomas Delahais   +3 more
doaj   +3 more sources

Innovation dans un projet de télécollaboration orale en intercompréhension : bilan et perspectives du projet IOTT

open access: yesALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication, 2020
The paper aims at assessing a telecollaboration learning project named Intercompréhension Orale et Teletandem (IOTT), developed by University of Lyon 2 and University of Salento.
Sandra Garbarino, Paola Leone
doaj   +1 more source

TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios [PDF]

open access: yesIEEE International Conference on Robotics and Automation, 2022
Diverse and realistic traffic scenarios are crucial for evaluating the AI safety of autonomous driving systems in simulation. This work introduces a data-driven method called TrafficGen for traffic scenario generation. It learns from the fragmented human
Lang Feng   +4 more
semanticscholar   +1 more source

Describing viable technicolor scenarios [PDF]

open access: yes, 2008
We construct an effective Lagrangian for new strong interactions at the LHC, including as a first step the two lightest triplets of spin-1 resonances. Our parametrization is general enough to allow for previously unstudied spectrum and couplings.
Hirn, Johannes   +2 more
core   +2 more sources

Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories

open access: yesThe Lancet, 2018
Summary Background Understanding potential trajectories in health and drivers of health is crucial to guiding long-term investments and policy implementation.
Kyle Foreman   +37 more
semanticscholar   +1 more source

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Evaluating and improving planning for autonomous vehicles requires scalable generation of long-tail traffic scenarios. To be useful, these scenarios must be realistic and challenging, but not impossible to drive through safely. In this work, we introduce
Davis Rempe   +4 more
semanticscholar   +1 more source

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios [PDF]

open access: yesNorth American Chapter of the Association for Computational Linguistics, 2020
Deep neural networks and huge language models are becoming omnipresent in natural language applications. As they are known for requiring large amounts of training data, there is a growing body of work to improve the performance in low-resource settings ...
Michael A. Hedderich   +4 more
semanticscholar   +1 more source

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