Loading...
Bienvenue sur l'archive ouverte HAL de l'Institut Polytechnique de Paris
Elle comprend les publications des 5 établissements membres de l'IP Paris (cliquer sur leur logo pour accéder à leur portail HAL) :
École polytechnique | ENSTA Paris | ENSAE Paris | Télécom Paris | Télécom SudParis |
Derniers dépôts
-
Agus Atmadipoera, Ariane Koch-Larrouy, Gurvan Madec, Jacques Grelet, François Baurand, et al.. Part I: Hydrological properties within the eastern Indonesian throughflow region during the INDOMIX experiment. Deep Sea Research Part I: Oceanographic Research Papers, 2022, 182, pp.103735. ⟨10.1016/j.dsr.2022.103735⟩. ⟨hal-03662254⟩
-
Christopher G. Kruse, M. Joan Alexander, Lars Hoffmann, Annelize van Niekerk, Inna Polichtchouk, et al.. Observed and Modeled Mountain Waves from the Surface to the Mesosphere near the Drake Passage. Journal of the Atmospheric Sciences, 2022, 79, pp.909-932. ⟨10.1175/JAS-D-21-0252.1⟩. ⟨insu-03726907⟩
-
Caroline Rizza. Social Media Contribution to the Crisis Management Processes: Towards a More Accurate Response Integrating Citizen-Generated Content and Citizen-Led Activities. Eleonora Bertoni; Matteo Fontana; Lorenzo Gabrielli; Serena Signorelli; Michele Vespe. Handbook of Computational Social Science for Policy, Springer International Publishing, pp.421-436, 2023, 978-3-031-16623-5. ⟨10.1007/978-3-031-16624-2_22⟩. ⟨hal-03964416⟩
Documents avec texte intégral
11 033
Publications en Open Access
78 %
Références bibliographiques
7 236
Nuage de mots-clés
IoT
Lepton
CP violation
Laser
Gravitation
Modeling
Sensitivity
Transverse momentum
Branching ratio
Parton distribution function
CMS
Monte Carlo
Correlation
Error statistical
Muon pair production
Kinematics
Field theory conformal
Neural network
Silicon
Numerical calculations Monte Carlo
8000 GeV-cms
Apprentissage automatique
13000 GeV-cms
Electroweak interaction
Top pair production
P p scattering
Calibration
Statistical analysis
Apprentissage profond
Privacy
CERN Lab
Reinforcement learning
Optimisation
Deep Learning
Programming
Machine Learning
Deep learning
Supersymmetry
Channel cross section branching ratio upper limit
Anomaly detection
Performance
Statistical
Transverse momentum dependence
Stability
P p colliding beams
Signature
B physics
Resonance production
Channel cross section measured
Differential cross section measured
Mass dependence
Security
LHC-B
Heavy ion scattering
Jet bottom
Electron
Artificial intelligence
Data analysis method
GeV
5G
Bottom particle identification
CERN LHC Coll
Muon
Phase space
Simulation
Training
Structure
Plasma
Z0 leptonic decay
Lead
Mars
New physics search for
Climate change
Optimal transport
Branching ratio ratio measured
Internet of Things
Background
Quantum chromodynamics
KAMIOKANDE
Correlation function
TeV
Transverse momentum missing-energy
Optimization
Quark
Effective field theory
7000 GeV-cms
Experimental results
Hadron-Hadron scattering experiments
Hadron-Hadron Scattering
Neural networks
Rapidity
Rapidity dependence
Machine learning
Asymmetry CP
Suppression
Turbulence
J-PARC Lab
Blockchain
Photon
Channel cross section upper limit