Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-65996-0
Abstract: In this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model have been used. The task is to independently predict characteristic parameters of… read more here.
Keywords: deep learning; variable data; computationally efficient; model ... See more keywords
Toward Practical Temporal Diversity Coherent Combining Based Variable Data-Rate Free Space Optical Communication Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194015
Abstract: Free-space optical communication (FSOC) systems with variable data-rates can support different missions with different transmission distances and ensure reliable transmission in periods of unfavorable weather conditions. The temporal diversity coherent combining (TDCC) technique can adjust… read more here.
Keywords: based variable; variable data; free space; data rate ... See more keywords
An Integrated Intra-View and Inter-View Framework for Multiple Traffic Variable Data Simultaneous Recovery
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3414506
Abstract: Rapid advancements in traffic monitoring and sensing technologies have permitted the multiplex and democratized gathering of numerous traffic data (e.g. speed, volume), depicting identical traffic dynamics from various but complementary views. Incomplete values are ubiquitous… read more here.
Keywords: view; traffic variable; variable data; inter view ... See more keywords
Simple K-Medoids Partitioning Algorithm for Mixed Variable Data
Sign Up to like & getrecommendations! Published in 2019 at "Algorithms"
DOI: 10.3390/a12090177
Abstract: A simple and fast k-medoids algorithm that updates medoids by minimizing the total distance within clusters has been developed. Although it is simple and fast, as its name suggests, it nonetheless has neglected local optima… read more here.
Keywords: distance; variable data; simple medoids; partitioning algorithm ... See more keywords