Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...

Abstract: Non-intrusive load monitoring (NILM) is designed to disaggregate the total load of electricity used in a household into appliance-level data. Moreover, deep learning (DL) models have been ...

Real-time data can also be captured by drones during and after flood events. Another technology used is a modeling program called ICM that’s used for large watersheds. It will model underground flow ...

Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing interest, it remains ...

🛠️ Project Name Origin: The name Tacad2D stands for "TAG CAD in 2D", where "TA" refers to "TAG" (Tag-based Architecture), reflecting its use of OCAF’s label/tag-driven data structure. The name and ...

For the Pine Flat Dam case study, the complete nonlinear time-history analysis using the three-dimensional model–comprising a total of 42,787 elements (13,383 dam elements +13,420 foundation elements ...