LAUSR

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 & get
recommendations!
1 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

Deep Learning-Assisted Inverse Design of Transparent Absorbers Based on Ionic Liquids Using Mixture Density Networks.

Sign Up to like & get
recommendations!
0 Published in 2025 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.5c08242

Abstract: Machine learning has emerged as a powerful tool for the inverse design of various device structures including metamaterials and multilayer coatings. This study presents an inverse design approach for transparent wave absorbers based on multiple… read more here.

Keywords: mixture density; inverse design; transparent; absorbers based ... See more keywords

MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds

Sign Up to like & get
recommendations!
2 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

Transfer Learning-Assisted Inverse Modeling in Nanophotonics Based on Mixture Density Networks

Sign Up to like & get
recommendations!
0 Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3383790

Abstract: The simulation of nanophotonic structures relies on electromagnetic solvers, which play a crucial role in understanding their behavior. However, these solvers often come with a significant computational cost, making their application in design tasks, such… read more here.

Keywords: transfer learning; based mixture; inverse modeling; mixture density ... See more keywords

Mixture Density-PoseNet and its Application to Monocular Camera-Based Global Localization

Sign Up to like & get
recommendations!
0 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