Modeling of aircraft fuel consumption using machine learning algorithms

S Baumann, U Klingauf - CEAS Aeronautical Journal, 2020 - Springer
With the aid of recording systems such as the flight data recorder, information from aircraft
sensors can be transmitted in-situ to airlines or maintenance providers during the flight in …

Changing the nature of quantitative biology education: Data science as a driver

RS Robeva, JR Jungck, LJ Gross - Bulletin of Mathematical Biology, 2020 - Springer
We live in a data-rich world with rapidly growing databases with zettabytes of data.
Innovation, computation, and technological advances have now tremendously accelerated …

Comparative Study of Metaheuristic Optimization of Convolutional Neural Networks Applied to Face Mask Classification

P Melin, D Sánchez, M Pulido, O Castillo - Mathematical and …, 2023 - mdpi.com
The preventive measures taken to curb the spread of COVID-19 have emphasized the
importance of wearing face masks to prevent potential infection with serious diseases during …

[HTML][HTML] Machine learning–based approach for predicting pushover curves of low-rise reinforced concrete frame buildings

C Angarita, C Montes, O Arroyo - Structures, 2024 - Elsevier
Reinforced Concrete (RC) frame buildings are prevalent worldwide due to their seismic
performance and the broad availability of materials. Pushover analysis is regarded as one …

[HTML][HTML] A Learning Probabilistic Boolean Network Model of a Smart Grid with Applications in System Maintenance

PJ Rivera Torres, C Chen, J Macías-Aguayo… - Energies, 2024 - mdpi.com
Probabilistic Boolean Networks can capture the dynamics of complex biological systems as
well as other non-biological systems, such as manufacturing systems and smart grids. In this …

Bodemdatabank-STAT: Koppeling van statistische bodemgegevens aan de bodemkaart gebaseerd op de bodemdata van de DOV-bodemdatabank

K Wittemans, S Ottoy, K Oorts, J De Ruyck… - 2024 - archief.algemeen.omgeving …
Gebiedsdekkende (bodem) informatie is essentieel voor bv. de regionale begroting van
koolstofvoorraden, waterstromen of nutriëntenstromen. In deze studie werden verschillende …

A Proposed Framework for Enhancing the Transportation Systems Based on Physical Internet and Data Science Techniques

A Osama, A Elgarhy, A Elseddawy - Proceedings of the Future …, 2022 - Springer
Logistics and supply chain processes nowadays are not sustainable and cause many
problems. A traditional freight transportation system that moves the commodities between …

Hybrid Neural Network Meta-heuristic for Solving Large Traveling Salesman Problem

SO Caballero-Morales, G Bonilla-Enriquez… - Innovations in Machine …, 2023 - Springer
Abstract The Traveling Salesman Problem (TSP) is one of the most studied problems within
the transportation, manufacturing, and logistics industries. An optimal solution to the TSP …

Recognition of Pollen-Carrying Bees Using Convolutional Neural Networks and Digital Image Processing Techniques

JE Pat-Cetina, MG Orozco-del-Castillo… - … Congress of Telematics …, 2023 - Springer
The accurate classification of bees into pollen-carrying and pollen-free categories plays a
crucial role in various aspects of bee research and management, avoiding economic losses …

Forecasting Short-term Container Vessel Traffic Volume Using Hybrid ARIMA-NN Model

N Sadeghi Gargari, H Akbari, R Panahi - International Journal Of Coastal …, 2019 - ijcoe.org
A combination of linear and non-linear models results in a more accurate prediction in
comparison with using linear or non-linear models individually to forecast time series data …