A Review of machine learning techniques for wind turbine's fault detection, diagnosis, and prognosis
Wind turbines are becoming increasingly important in the generation of clean, renewable
energy worldwide. To ensure their dependable and accessible operation, advanced real …
energy worldwide. To ensure their dependable and accessible operation, advanced real …
Stacking Machine Learning Models Empowered High Time-Height-Resolved Ozone Profiling from the Ground to the Stratopause Based on MAX-DOAS Observation
S Zhang, S Wang, J Zhu, R Xue, Z Jiang… - Environmental …, 2024 - ACS Publications
Ozone (O3) profiles are crucial for comprehending the intricate interplay among O3 sources,
sinks, and transport. However, conventional O3 monitoring approaches often suffer from …
sinks, and transport. However, conventional O3 monitoring approaches often suffer from …
[HTML][HTML] Supply level planning for shared e-scooters considering spatiotemporal heteroscedastic demand
Accurate demand forecasting is a key success for mobility service businesses, especially
shared electric (e-) scooters, for their volatile demand, high operational costs, and strict …
shared electric (e-) scooters, for their volatile demand, high operational costs, and strict …
Optimizing Shared E-Scooter Operations Under Demand Uncertainty: A Framework Integrating Machine Learning and Optimization Techniques
The emergence of dockless shared e-scooters as a new form of shared micromobility offers
a viable solution to specific urban transportation problems, including the first-mile–last-mile …
a viable solution to specific urban transportation problems, including the first-mile–last-mile …
Prediction of Corrosion Inhibition Efficiency Based on Machine Learning for Pyrimidine Compounds: A Comparative Study of Linear and Non-linear Algorithms
The corrosion of materials poses a significant challenge in various industries, leading to
substantial economic impacts. In this context, pyrimidine compounds emerge as promising …
substantial economic impacts. In this context, pyrimidine compounds emerge as promising …
Trends in Addiction to Psychoactive Substances Among Homeless People in Colombia Using Artificial Intelligence
Introduction: Currently, homelessness should not be seen as just another problem, but as a
reality of inequality and the absence of social justice. In this sense, homeless people are …
reality of inequality and the absence of social justice. In this sense, homeless people are …
[PDF][PDF] Transportation Research Interdisciplinary Perspectives
N Saum, M Piantanakulchai, S Sugiura - researchgate.net
Accurate demand forecasting is a key success for mobility service businesses, especially
shared electric (e-) scooters, for their volatile demand, high operational costs, and strict …
shared electric (e-) scooters, for their volatile demand, high operational costs, and strict …