[HTML][HTML] Within-day travel speed pattern unsupervised classification–A data driven case study of the State of Alabama during the COVID-19 pandemic
Recent comparative studies on mobility patterns are emerging to describe the changes in
mobility patterns due to the COVID-19 pandemic. Most of the current studies utilize travel …
mobility patterns due to the COVID-19 pandemic. Most of the current studies utilize travel …
Automated work cycle classification and performance measurement for manual work stations
The increasing demand for highly customized products requires flexible, reactive and
adaptive manufacturing systems. Accurate and up-to-date information about the processes …
adaptive manufacturing systems. Accurate and up-to-date information about the processes …
Luminescence and density banding patterns in massive Porites corals around the Thai‐Malay Peninsula, Southeast Asia
We characterized the annual luminescent and skeletal density banding patterns in 51
massive Porites corals from 15 reefs from six locations around the Thai‐Malay Peninsula in …
massive Porites corals from 15 reefs from six locations around the Thai‐Malay Peninsula in …
Video-to-model: Unsupervised trace extraction from videos for process discovery and conformance checking in manual assembly
S Knoch, S Ponpathirkoottam, T Schwartz - … Process Management: 18th …, 2020 - Springer
Manual activities are often hidden deep down in discrete manufacturing processes. To
analyze and optimize such processes, process discovery techniques allow the mining of the …
analyze and optimize such processes, process discovery techniques allow the mining of the …
Découverte d'unités linguistiques à l'aide de méthodes d'apprentissage non supervisé
C Manenti - 2019 - theses.hal.science
La découverte d'unités linguistiques élémentaires (phonèmes, mots) uniquement à partir
d'enregistrements sonores est un problème non-résolu qui suscite un fort intérêt de la …
d'enregistrements sonores est un problème non-résolu qui suscite un fort intérêt de la …
Learning to Cluster
BB Meier, T Stadelmann, O Dürr - 2018 - openreview.net
We propose a novel neural network architecture to learn the task of clustering end-to-end:
salient features for any similarity criterion specified through weakly labeled training data are …
salient features for any similarity criterion specified through weakly labeled training data are …