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 …
Predicting the fluctuation of travel time reliability as a result of congestion variations by bagging-based regressors
S Afandizadeh, N Amoei Khorshidi… - Civil Engineering …, 2023 - ceij.ut.ac.ir
Travel time reliability affects the behavior of passengers in private or public transportation
and can be seen as an important factor in the context of freight transportation. The main …
and can be seen as an important factor in the context of freight transportation. The main …
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 …
Integrating Machine Learning and Optimization Techniques for Short-Term Management of Shared E-Scooters under Demand Uncertainty
N Saum - 2023 - eprints.lib.hokudai.ac.jp
Shared mobility has proliferated in global cities as an innovative transportation mode
enhancing urban mobility and as a potential solution to address first-and last-mile problems …
enhancing urban mobility and as a potential solution to address first-and last-mile problems …
Dataset Analysis and Feature Characteristics to Predict Rice Production based on eXtreme Gradient Boosting
EB Wijayanti, BH Setyoko - Journal of Computing Theories …, 2024 - publikasi.dinus.ac.id
Rice plays a vital role as the main food source for almost half of the global population,
contributing more than 21% of the total calories humans need. Production predictions are …
contributing more than 21% of the total calories humans need. Production predictions 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 …