Transfer Learning with ResNet3D-101 for Global Prediction of High Aerosol Concentrations
In order to better predict the high aerosol concentrations associated with air pollution and
climate change, a machine learning model was developed using transfer learning and the …
climate change, a machine learning model was developed using transfer learning and the …
Discharge Capacity Estimation for Li-Ion Batteries: A Comparative Study
Li-ion batteries are integral to various applications, ranging from electric vehicles to mobile
devices, because of their high energy density and user friendliness. The assessment of the …
devices, because of their high energy density and user friendliness. The assessment of the …
[HTML][HTML] Inversion Method for Transformer Winding Hot Spot Temperature Based on Gated Recurrent Unit and Self-Attention and Temperature Lag
Y Hao, Z Zhang, X Liu, Y Yang, J Liu - Sensors, 2024 - mdpi.com
The hot spot temperature of transformer windings is an important indicator for measuring
insulation performance, and its accurate inversion is crucial to ensure the timely and …
insulation performance, and its accurate inversion is crucial to ensure the timely and …
Enhanced Fault Classification in Bearings: A Multi-Domain Feature Extraction Approach with LSTM-Attention and LASSO
A Hatipoğlu, M Süpürtülü, E Yılmaz - Arabian Journal for Science and …, 2024 - Springer
In various engineering fields, bearings are crucial for the operation of rotating machinery.
Therefore, the early and precise detection of bearing failures is essential to prevent …
Therefore, the early and precise detection of bearing failures is essential to prevent …
Rapid deep learning prediction model using satellite imagery for radiation accident Announcement system in Serbia
Radioactivity environmental monitoring with the help of the Radiation Accident
Announcement System (RAAS) established in the Republic of Serbia is of vital importance …
Announcement System (RAAS) established in the Republic of Serbia is of vital importance …