Frontiers

Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model

We proposed a new deep learning method for the objective differentiation of KDS in females of reproductive age. First, we simultaneously acquired 376 pairs of tongue and facial images. We divided them ...
Scientific Research Publishing

Multi-Objective Optimization of Front Landing Gear Impact Based on Multivariate Nonlinear Regression ()

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...
IEEE

Prediction of Graduate Employment Based on Multi-Source Data Fusion and Cost-Sensitive Multi-Objective Learning

Abstract: Traditional graduate employment prediction models suffer from limitations such as insufficient data utilization, single prediction target, and neglecting misclassification costs. To address ...
GitHub

PolyRL: Reinforcement Learning-Guided Polymer Generation for Multi-Objective Gas Membrane Discovery

PolyRL is an open-source framework for reinforcement learning-based molecular generation, designed to accelerate the discovery of polymeric membranes for CO₂/N₂ gas separation. It integrates multiple ...