The segment anything model (SAM), a foundational model designed for promptable
segmentation tasks, demonstrates exceptional generalization capabilities, making it highly …

In the realm of artificial intelligence, the emergence of foundation models, backed by high
computing capabilities and extensive data, has been revolutionary. Segment Anything Model (…

Synthetic Aperture Radar (SAR) has been widely applied due to its capability for continuous
monitoring under all-weather and all-time conditions. Unlike optical images, targets in SAR …

Deep learning-based automated detection of insulator defects in electric power systems is a
critical technological challenge, pivotal for ensuring reliability and efficiency in the global …

This paper highlights the importance of considering local component failure of self-centering
braces (SCBs) when examining the seismic fragility and economic performance of …

The atmospheric aqueous-phase chemistry has received increasing attention in the last
decades for its non-negligible environmental significance. Yet, the insufficient experimental data …

… The parameter size of our method is only 23.6M, which is similar to LPN, Vit-s, and Zheng,
but our AP value is much higher than these three methods. FSRA has the top results among …

The numerous design alternatives and decision variables of four-product dividing wall column
(DWC) have presented significant challenges for its steady-state design. Therefore, this …

Reducing the carbon footprint or GHG emissions is a major challenge during the production
and processing of Canadian oil sands bitumen for clean transportation fuels. Co-processing …

Multi-objective optimization algorithms are widely employed in the optimization of Dividing-Wall
Column (DWC). However, due to the inherent complexity of DWC design problems, the …