IEEE

Machine Learning-Based-Inverse Topological Design Method for Active Frequency-Selective Surface (ITDM-AFSS)

Abstract: To design active frequency-selective surface (AFSS) with a large number of degrees of freedom (DoFs), in this communication, a machine learning-based inverse topological design method (ITDM) ...
Gut

Effects of a probiotic fermented dairy product on hippocampal metabolites, structure and function: an 8-week randomised, placebo-controlled trial in healthy women

Background Fermented foods are a promising yet underexplored intervention for influencing brain function and mental health through the gut–brain axis. Objective The objective of this study was to ...
eLife

Advantageous and disadvantageous inequality aversion can be taught through learning of others’ preferences

Like disadvantageous inequity aversion, advantageous inequity aversion can be learned by observing another’s fairness preferences.
Modern Engineering Marvels on MSN

AI inverse design boosts hydraulic pump efficiency by 32%

Can AI outperform decades of human expertise in mechanical design? Well, the researchers from Pusan National University gave a convincing affirmative answer by applying cGANs to the inverse design of ...
GitHub

Maximum Entropy Deep Inverse Reinforcement Learning

This repository contains the implementation of the paper "Maximum Entropy Deep Inverse Reinforcement Learning" by Wulfmeier et al. [1] in PyTorch. You will also find in the notebooks directory a ...
IEEE

Enhancing Pedestrian Route Choice Models Through Maximum-Entropy Deep Inverse Reinforcement Learning With Individual Covariates (MEDIRL-IC)

Abstract: Understanding pedestrian route choices is pivotal for deciphering individual behaviors and informing decisions in urban planning. Unlike motorized transportation, primarily influenced by the ...