Semisupervised dynamic soft sensor based on complementary ensemble empirical mode decomposition and deep learning

R Guo, H Liu - Measurement, 2021 - Elsevier
Noise, redundancy, and dynamic characteristics in industrial process data have been
regarded as the key factors that affect the measurement accuracy of data-driven soft …

Bayesian multidimensional scaling for location awareness in hybrid-Internet of Underwater Things

RA Khalil, N Saeed, MI Babar, T Jan… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Localization of sensor nodes in the internet of underwater things (IoUT) is of considerable
significance due to its various applications, such as navigation, data tagging, and detection …

Sparse Bayesian multidimensional scaling (s)

A Sheth, A Smith, AJ Holbrook - ar**
H Nishi, Y Asami - Studies in Housing and Urban Analysis in Japan, 2024 - Springer
Understanding the structure of cities and facilities in terms of similarity and proximity when
considering wide-area or national land planning is crucial. For this purpose, this chapter …

Dimensionality Reduction Method for 3D-Handwritten Characters Based on Oriented Bounding Boxes

Y Zhang, J Lu, K Wang, J Zhao, G Cui, X Gao - IEEE Access, 2020 - ieeexplore.ieee.org
Dimensionality reduction of 3D-handwritten characters can be problematic because of
random mirror rotations and angle rotations which appear after using the traditional …