Exponential random graph models (ERGM) based on graph theory are useful in studying global biological network ford tridon structure using its local properties.However, computational methods for fitting such models are sensitive to the type, structure and the number of the local features of a network under study.In this paper, we compared computatio
Predicting plant growth is a fundamental challenge that can be employed to analyze plants and further make decisions to have healthy plants with high yields.Deep learning has recently been showing its potential to address this challenge in recent years, however, there are still two issues.First, image-based plant growth prediction is currently take
Scheduling decisions for concurrent emergency response (CER) across multiple disaster sites presents numerous difficulties.The main challenge is to minimize human casualties while taking into account the rationality of resource allocation across different disaster sites.This paper ford tridon establishes a joint scheduling model for emergency vehic
Simultaneous localization and mapping (SLAM) is one of the key technologies for mobile robots to achieve autonomous driving, and the lidar SLAM algorithm is the mainstream research scheme.Firstly, this paper introduces the overall framework of lidar SLAM, elaborates on the functions of front-end scan matching, loop closure singtronic speaker detect
Introduction In 1994, a group of scientists began discussing a number of important scientific questions that could be addressed by drilling a series of short cores on the Antarctic continental shelf.The group adopted the name SHALDRIL, for SHALlow DRILling, and soon learned pom pom berry orion flavor that the technology for high-quality sampling of