Data-driven forecasting with model uncertainty of utility-scale air-cooled condenser performance using ensemble encoder-decoder mixture-density recurrent neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Energy"
DOI: 10.1016/j.energy.2021.122030
Abstract: Abstract In the current work, an encoder-decoder mixture-density network (MDN) is developed using recurrent neural networks (RNN) for the prediction of utility-scale air-cooled condenser backpressure. Backpressure has a direct impact on thermal power plant generated… read more here.
Keywords: model; encoder decoder; mixture density; decoder mixture ... See more keywords
MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3210108
Abstract: The design factors of anchor boxes, such as shape, placement, and target assignment policy, greatly influence the performance and latency of the 3D object detectors. Unlike image-based 2D anchors, 3D anchors must be placed in… read more here.
Keywords: based object; mixture; density based; detection ... See more keywords
Mixture Density-PoseNet and its Application to Monocular Camera-Based Global Localization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.2986086
Abstract: Global localization using a monocular camera is one of the most challenging problems in computer vision and intelligent robotics. In this article, a new deep neural network named Mixture Density (MD)-PoseNet is proposed to address… read more here.
Keywords: monocular camera; mixture density; posenet; global localization ... See more keywords