UID:
almahu_9948674051302882
Umfang:
XII, 227 p. 49 illus.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9783030706500
Serie:
Programming and Software Engineering ; 12611
Inhalt:
This book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held virtually, in October 2020. The 11 full papers and 3 short papers presented in this book were selected from 19 submissions. The papers are grouped in these topical sections: machine learning; simulation-based approaches, and data mining and processing related approaches.
Anmerkung:
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks -- Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation -- STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction -- A Simulation-Based Approach for the Behavioural Analysis of Cancer Pathways -- Discovering the Impact of Notifications on Social Network Addiction -- A Simulation Study on Demand Disruptions and Limited Resources for Healthcare Provision -- A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory -- Analysis of COVID-19 data with PRISM: Parameter Estimation and SIR Modelling -- A Formal Model for the Simulation and Analysis of Early Biofilm Formation -- Query Rewriting On Path Views Without Integrity Constraints -- Evaluating Trace Encoding Methods in Process Mining -- Semantic Annotations in Clinical Guidelines -- Deriving Performance Measures of Workflow in Radiation Therapy from Real-Time Data -- Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030706494
Weitere Ausg.:
Printed edition: ISBN 9783030706517
Sprache:
Englisch
DOI:
10.1007/978-3-030-70650-0
URL:
https://doi.org/10.1007/978-3-030-70650-0
