Results 21 to 30 of about 19,155,994 (294)

Preparedness for Data-Driven Business Model Innovation: A Knowledge Framework for Incumbent Manufacturers

Applied Sciences
This study investigates data-driven business model innovation (DDBMI) for incumbent manufacturers, underscoring its importance in various strategic and managerial contexts. Employing topic modeling, the study identifies nine key topics of DDBMI.
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer   +3 more
doaj   +1 more source

SIGMA Animal Disease Data Model

EFSA Journal, 2019
The European Commission is routinely asking EFSA for scientific and technical support in the epidemiological analysis of animal disease outbreaks (i.e. African swine fever, lumpy skin disease and avian influenza) and to report or assess surveillance data
European Food Safety Authority (EFSA), Gabriele Zancanaro, Sotiria Eleni Antoniou, Marta Bedriova, Frank Boelaert, José Gonzales Rojas, Mario Monguidi, Helen Roberts, Sören Saxmose Nielsen, Hans‐Herman Thulke   +9 more
doaj   +1 more source

Data‐adaptive additive modeling

Statistics in Medicine, 2018
In this paper, we consider fitting a flexible and interpretable additive regression model in a data‐rich setting. We wish to avoid pre‐specifying the functional form of the conditional association between each covariate and the response, while still retaining interpretability of the fitted functions.
Ashley Petersen, Daniela Witten
openaire   +4 more sources

Data processing model for the CDF experiment [PDF]

, 2006
The data processing model for the CDF experiment is described. Data processing reconstructs events from parallel data streams taken with different combinations of physics event triggers and further splits the events into datasets of specialized physics ...
Antos, J., Babik, M., Benjamin, D., Cabrera, S., Chan, A. W., Chen, Y. C., Coca, M., Cooper, B., Farrington, S., Genser, K., Hatakeyama, K., Hou, S., Hsieh, T. L., Jayatilaka, B., Jun, S. Y., Kotwal, A. V., Kraan, A. C., Lysak, R., Mandrichenko, I. V., Murat, P., Robson, A., Savard, P., Siket, M., Stelzer, B., Syu, J., Teng, P. K., Timm, S. C., Tomura, T., Vataga, E., Wolbers, S. A.   +29 more
core   +2 more sources

Impact of increased anthropogenic Amazon wildfires on Antarctic Sea ice melt via albedo reduction

Environmental Data Science
This study shows the impact of black carbon (BC) aerosol atmospheric rivers (AAR) on the Antarctic Sea ice retreat. We detect that a higher number of BC AARs arrived in the Antarctic region due to increased anthropogenic wildfire activities in 2019 in ...
Sudip Chakraborty, Maloy Kumar Devnath, Atefeh Jabeli, Chhaya Kulkarni, Gehan Boteju, Jianwu Wang, Vandana P. Janeja   +6 more
doaj   +1 more source

Data model for the cartographic representation of toponyms on topographic maps published by the MGI [PDF]

Glasnik Srpskog Geografskog Društva
An essential aspect of creating topographic maps involves standardization and data modelling for properly visualised toponyms. The significance of this aspect arises from the fact that maps, aside from representing a graphical depiction of ...
Marković Viktor
doaj   +1 more source

Modeling and Querying Multi-dimensional Moving Objects

Journal of Harbin University of Science and Technology, 2022
Motivated by the problem that the existing spatio-temporal data models do not fully represent moving objects, we design a multi-dimensional data model supporting multiple attributes, static and dynamic attributes.
SHEN Xiang-hong, WU Bing-ya, FANG Cheng-long, XU Jian-qiu, LIU Meng-yi   +4 more
doaj   +1 more source

To the end of the line – including intermediaries and end customers in the business model CANVAS

Journal of Open Innovation: Technology, Market and Complexity
The Business Model CANVAS is a widely adopted business model creation, visualization, and analysis framework. The CANVAS focuses on target customers but fails to consider the intermediaries situated between these target customers and end customers ...
Manuel Brunner, Nadine Bachmann, Ann-Kristin Thienemann, Alican Tuezuen, Herbert Jodlbauer   +4 more
doaj   +1 more source

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

Frontiers in Neuroinformatics, 2019
There has been a recent major upsurge in the concerns about reproducibility in many areas of science. Within the neuroimaging domain, one approach is to promote reproducibility is to target the re-executability of the publication.
David N. Kennedy, Sanu A. Abraham, Julianna F. Bates, Albert Crowley, Satrajit Ghosh, Tom Gillespie, Mathias Goncalves, Jeffrey S. Grethe, Yaroslav O. Halchenko, Michael Hanke, Christian Haselgrove, Steven M. Hodge, Dorota Jarecka, Jakub Kaczmarzyk, David B. Keator, Kyle Meyer, Maryann E. Martone, Smruti Padhy, Jean-Baptiste Poline, Nina Preuss, Troy Sincomb, Matt Travers   +21 more
doaj   +1 more source

Modelling summary data

Proceedings of the 1981 ACM SIGMOD international conference on Management of data - SIGMOD '81, 1981
Several problems in specifying aggregate functions in relational systems are investigated. We propose a solution to these problems in the form of an extension of the relational data model. In particular we introduce the concept of summary data. The query language STRAND is presented in order to describe retrieval operations on the extended model ...
openaire   +2 more sources