Results 141 to 150 of about 142,286 (311)
Prediction of Pipeline Defect Depth and Classification Based on CatBoost
Energy Science &Engineering, EarlyView.Obtaining detection data using in‐line pipeline inspection, the synthetic minority oversampling technique (SMOTE) is applied to expand the sample set, thereby increasing the number of minority‐class samples. This approach effectively improves minority‐class detection and enhances pipeline safety assessment. ABSTRACT Magnetic flux leakage detection is a
Cong Chen +3 more
wiley +1 more source
Pipeline politics and energy (in)security in Central and South-Eastern Europe [PDF]
, 2016 No abstract ...
Butler, Eamonn
core +1 more source
Energy Science &Engineering, EarlyView.General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda +3 more
wiley +1 more source
Pipeline politics and energy (in)security in Central and South-Eastern Europe [PDF]
, 2015 No abstract ...
Butler, Eamonn, Europa Publications
core
Energy Science &Engineering, EarlyView.Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley +1 more source
Improve safety by reducing the impact of external corrosion on pipelines [PDF]
, 2016 • Proactive prevention of corrosion defects from growing to a size that ultimately impacts a pipeline’s structural integrity • Continuous assessment to identify & address where corrosion has occurred, is occurring or may occur • Repairing corrosion ...
Hertelé, Stijn
core +1 more source
Mixing Behavior of Natural Gas and Hydrogen in a High‐Efficiency Vane (HEV) Static Mixer
Energy Science &Engineering, EarlyView.Static mixers play a crucial role in the safe transport of hydrogen‐blended natural gas. Computational fluid dynamics (CFD) was employed to investigate the effects of structural parameters of the HEV static mixer on the mixing behavior and homogeneity of natural gas and hydrogen. The modeling approach was well validated against experimental data.
Xiang Zhou +5 more
wiley +1 more source
FlexMat, EarlyView.Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
Greenhouse Gases: Science and Technology, EarlyView.ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source