Recently added

Now showing items 6-10 of 77

A deep learning-based approach for predicting in-flight estimated time of arrival

Silvestre Vilches, Jorge ; Martínez Prieto, Miguel Angel ; Bregón Bregón, Aníbal ; Álvarez Esteban, Pedro César (2024)
FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems

Fernández Martínez, Itziar ; Rodríguez Collado, Alejandro ; Larriba González, Yolanda ; Lamela, Adrián; Canedo Ortega, Christian ; Rueda Sabater, María Cristina (2022)
Frequency Modulated Möbius Model Accurately Predicts Rhythmic Signals in Biological and Physical Sciences

Rueda Sabater, María Cristina ; Larriba González, Yolanda ; Peddada, Shyamal (2019)
Wide consensus aggregation in the Wasserstein space. Application to location-scatter families

Álvarez Esteban, Pedro César ; Barrio Tellado, Eustasio del ; Cuesta Albertos, Juan A.; Matrán Bea, Carlos (2018)
A new approach to maximize the profit/cost ratio in a stock-dependent demand inventory model

Pando Fernández, Valentín ; San José Nieto, Luis Augusto ; Sicilia Rodríguez, Joaquín (2020)