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Author

D. F. Manotas-Duque

2 papers indexed here

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Open access Aug 2026

Destination Marketing Intelligence in European Tourism: A Machine Learning Approach to Performance, Housing Pressure, and Post-Shock Sensitivity

Tourism destinations increasingly require data-driven tools to interpret competitiveness, capacity use, housing-related pressure, and post-shock change. This study develops a machine-learning-based destination marketing intelligence framework for a non-probability analytical sample of 29 European destinations observed...

Orlando Joaqui-Barandica, Sebastián López-Estrada, D. F. Manotas-Duque · 0 citations
Open access Sep 2026

Comparing Machine and Deep Learning for Electricity Theft Detection from Monthly Billing Data in an Emerging Energy Market

The results support ensembles and compact dense networks for monthly theft screening and indicate that AMI-oriented sequential gains do not transfer automatically to 53-point billing vectors under the present protocol.

O. W. Orozco-Cerón, Orlando Joaqui-Barandica, D. F. Manotas-Duque · 0 citations

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