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A predictive analytics model for designing deep underground foundations using artificial neural networks

Agbemenou, Atsou Komla Herve; Motamed, Ramin; … - In: Decision analytics journal 7 (2023), pp. 1-11

Artificial neural networks (ANNs) are commonly used to solve nonlinear problems. ANNs are composed of parallel interconnected layers that include processing elements called neurons. These neurons use mathematical functions to process the data, mimicking the human brain. In this study, we use...

Persistent link: https://www.econbiz.de/10014436673

Mortality data correction in the absence of monthly fertility records

Boumezoued, Alexandre; Elfassihi, Amal - In: Insurance / Mathematics & economics 99 (2021), pp. 486-508

Persistent link: https://www.econbiz.de/10012649244

Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in France

Vimont, Alexandre; Leleu, Henri; Durand-Zaleski, Isabelle - In: The European journal of health economics 23 (2022) 2, pp. 211-223

Persistent link: https://www.econbiz.de/10013173559

Self-healing databases for emergency response logistics in remote and infrastructure-poor settings

McGarvey, James; Grabowski, Martha R.; Custard, Buddy; … - In: Logistics 9 (2025) 1, pp. 1-20

-aware, and self-healing databases, have not been widely adopted. Methods: This work explores this research gap by presenting a … response. Results: The self-healing algorithm could be applied to other safety-critical databases that could benefit from …

Persistent link: https://www.econbiz.de/10015337501

Global schema as local data integrator using active learning to identify candidates attributes

Santos, Clóvis; Dorneles, Carina - In: International journal of applied management science : IJAMS 15 (2023) 4, pp. 296-310

Persistent link: https://www.econbiz.de/10014391699

The market notices published by the Italian Stock Exchange : a machine learning approach for the selection of the relevant ones

Bernardini, Marta; Massaro, Paolo; Pepe, Francesca; … - 2021

Persistent link: https://www.econbiz.de/10012820304

Model selection using database characteristics : developing a classification tree for longitudinal incidence data

Schwartz, Eric M.; Bradlow, Eric T.; Fader, Peter - In: Marketing science 33 (2014) 2, pp. 188-205

Persistent link: https://www.econbiz.de/10010358791

Inclusion of Wikipedia, a language specific knowledge resource to generate and update a synset in WordNet

Rai, Sunny; Jain, Amita; Pandey, Priyank - In: International journal of technology, policy and … 19 (2019) 4, pp. 405-419

Persistent link: https://www.econbiz.de/10012168925

Credit risk database for SME financial inclusion

Nguyen, Lan H.; Sagara, Megumi - 2020

We introduce the Credit Risk Database (CRD) and its contribution to financial inclusion efforts in Japan. By collecting financial data about small and medium-sized enterprises (SMEs), the CRD contributes to the overall understanding of the SME sector, to the adaptation of risk-based lending and...

Persistent link: https://www.econbiz.de/10012205617

How machine learning changes Project Risk Management : a structured literature review and insights for organizational innovation

Secundo, Giustina; Mele, Gioconda; Passiante, Giuseppina; … - 2024

Persistent link: https://www.econbiz.de/10015396887