The use of autoencoders for training neural networks with mixed categorical and numerical features
Sign Up to like & getrecommendations! Published in 2023 at "ASTIN Bulletin"
DOI: 10.1017/asb.2023.15
Abstract: Abstract We focus on modelling categorical features and improving predictive power of neural networks with mixed categorical and numerical features in supervised learning tasks. The goal of this paper is to challenge the current dominant… read more here.
Keywords: neural networks; networks mixed; numerical features; categorical features ... See more keywords
DeepChannel: Robust Multimodal Outdoor Channel Model Prediction in LTE Networks Using Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194652
Abstract: Accurate channel model predictions are crucial in mobile communication systems to identify the coverage area of cellular base stations. It also allows network operators to optimally choose the locations of the new sites, solve coverage… read more here.
Keywords: channel model; numerical features; model prediction; model ... See more keywords