We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
ALPHA-1 antitrypsin deficiency (AATD) remains a frequently underdiagnosed condition that predisposes individuals to chronic lung and liver diseases. A comprehensive new diagnostic approach, combining ...
Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...
Learn Python and master DSA. Python is not only a joy to use, it is also the best choice for interviews as you can write code in the fastest way due to the conciseness and intuitiveness of Python. The ...
ABSTRACT: Background/Objective: Wrinkles, nasolabial folds, pigmented spots, and roughness are representative parameters reflecting facial skin aging. Among them, nasolabial folds are a particular ...
Compared to structured ocean environments, unstructured ocean environments are inherently more complex. In such unstructured environments, the presence of narrow waterways poses unique navigational ...
ROS-based multi-agent system for path planning and LiDAR SLAM mapping in dynamic environments. This project is a hands-on implementation to explore and understand the concepts behind Simultaneous ...
Abstract: This research sheds light on the path planning algorithm for robots using the rapidly-exploring random tree (RRT). The RRT algorithm builds one path by generating random nodes in the robot's ...
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