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 ...

pepbench presents a framework for the automated extraction of the pre-ejection period (PEP) from electrocardiogram (ECG) and impedance cardiography (ICG) signals. The package includes a variety of ...

Abstract: This paper proposes an algorithm that finds the optimal path for the intruder with the robot when an intruder occurs in a museum or a building with a large interior. This algorithm assumes ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...

Think about the last time you opened Netflix. Did you scroll through countless options or go with a recommended title? When you log into social media, do you decide what to see, or does an algorithm ...

Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...

1 School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China. 2 School of Vocational Education, Tianjin University of Technology and Education, ...

Water pollution has long been a critical global concern (Schwarzenbach et al., 2010). Daily water safety has a direct and perpetual impact on human beings (Bhagwat, 2019). Water sampling and quality ...