Artificial Intelligence for Logistic Program Conference: May 17th - 18th 2023, Ottawa, Canada: abstract booklet

Autor: National Research Council of Canada

The National Research Council of Canada (NRC) is committed to supporting the scale ai cluster's goals through its Artificial Intelligence for Logistics program, which includes convener support in supply chain and logistics. The program also provides

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f524d59eb50292d234b69896a0a2f99d

Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification

Autor: Domingues, Rémi

Publikováno v: Machine Learning [cs.LG]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS473⟩

Novelty detection is the unsupervised problem of identifying anomalies in test data which significantly differ from the training set. While numerous novelty detection methods were designed to model continuous numerical data, tackling datasets compose

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bf2354990ad60d44865b44fc9eb1ed7d
https://tel.archives-ouvertes.fr/tel-03126331

Novelty detection for vibration-based Structural Health Monitoring of civil structures : damage sensitive feature extraction by chaotic and statistical approaches

Autor: Clément, Antoine

Publikováno v: Vibrations [physics.class-ph]. Université Paul Sabatier-Toulouse III, 2011. Français. ⟨NNT : ⟩
Vibrations [physics.class-ph]. Université Paul Sabatier-Toulouse III, 2011. Français

The aim of structural health monitoring of civil structure is the early detection of damage to prevent structure failure. But modelling the behaviour of such structure is a very challenging task due to it uniqueness and to the effect of environmental

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::79e824996b41770c8ad9c45610bcb135
https://theses.hal.science/tel-00687065

Analyse des propriétés stationnaires et des propriétés émergentes dans les flux d'information changeant au cours du temps

Autor: Kassab, Randa

De nombreuses applications génèrent et reçoivent des données sous la forme de flux continu, illimité, et très rapide. Cela pose naturellement des problèmes de stockage, de traitement et d'analyse de données qui commencent juste à être abord

Externí odkaz: http://www.theses.fr/2009NAN10027/document