This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into ...
After decades of intense focus on genetics, the biomedical research community is undergoing a major shift, focusing on a new framework called "exposomics." Similar to the way scientists work to map ...
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...
Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...
Abstract: Deep neural networks have rapidly advanced, with many models demonstrating outstanding performance. However, robustness is crucial for ensuring the safety and stability of artificial ...
A breakthrough algorithm helps scientists track human DNA changes across regions. Credit: vediphile / CC BY-SA 4.0 Researchers have developed an algorithm that maps shared ancestry across geography ...
Today’s attacks on science come from at least three sources, and it is doing immediate, intermediate, and long-term damage to our country, including my profession of alcohol and drug use medicine.
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
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