most citedPOP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2019★ 2 cited

POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network

Danli Wu, Yu Cheng, Dehan Luo +3

Predicting odor's pleasantness simplifies the evaluation of odors and has the potential to be applied in perfumes and environmental monitoring industry. Classical algorithms for pr…