Deep learning has recently been extensively Paperback investigated to remove artifacts in low-dose computed tomography (LDCT).However, the power of transfer learning for medical image denoising tasks has not been fully explored.In this work, we proposed a transfer learning residual convolutional neural network (TLR-CNN) to restore LDCT images at si
To increase the adoption and reliability of low impact development (LID) practices for stormwater runoff management and Couples Toy other co-benefits, we must improve our understanding of how climate (i.e.patterns in incoming water and energy) affects LID hydrologic behavior and effectiveness.While others have explored the effects of precipitation
Herbivores like cervids usually graze on 8.31/8GB widely scattered forage, but anthropogenic food sources may cause spatial revisitation and aggregation, posing a risk for transmission of infectious diseases.In 2016, chronic wasting disease (CWD) was first detected in Norway.A legal regulation to ban supplemental feeding of cervids and to fence sto
In order to avoid overuse of a certain battery energy storage system (BESS) and prolong the cycle life of battery in AC microgrid, an improved SoC-based droop control based on multi-agent system (MAS) is proposed for achieving State of Charge (SoC) balance of multiple BESS units.A proportional-integral (PI) adjustment item using the average SoC is
The limited field of view (FoV) of single LiDAR poses challenges for robots to achieve comprehensive environmental perception.Incorporating multiple LiDAR sensors can effectively broaden the FoV of robots, Bikini bottoms providing abundant measurements to facilitate simultaneous localization and mapping (SLAM).In this paper, we propose a panoramic