Results 41 to 50 of about 11,948,985 (352)

Enhanced Phase Optimization Using Spectral Radius Constraints and Weighted Eigenvalue Decomposition for Distributed Scatterer InSAR

open access: yesRemote Sensing
Eigenvalue decomposition (EVD) of covariance matrices or coherence matrices has been employed to suppress noise in phase information, and this approach has shown some effectiveness in data processing.
Jun Feng   +3 more
doaj   +1 more source

Two-phase optimization model for ride-sharing with transfers in short-notice evacuations

open access: yes, 2020
Optimization of on-demand transportation provisions and ride-sharing services in evacuations may provide increased network capacity and enhanced evacuation performance to transportation systems and improve equity and disaster preparedness for community ...
Weike Lu   +4 more
semanticscholar   +1 more source

Accurate model of liquid–liquid phase behavior of intrinsically disordered proteins from optimization of single-chain properties

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2021
Significance Cells may compartmentalize proteins via a demixing process known as liquid–liquid phase separation (LLPS), which is often driven by intrinsically disordered proteins (IDPs) and regions.
G. Tesei   +3 more
semanticscholar   +1 more source

SMF-POLOPT: An Adaptive Multitemporal Pol(DIn)SAR Filtering and Phase Optimization Algorithm for PSI Applications

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2019
Speckle noise and decorrelation can hamper the application and interpretation of PolSAR images. In this paper, a new adaptive multitemporal Pol(DIn)SAR filtering and phase optimization algorithm is proposed to address these limitations.
Feng Zhao, J. Mallorquí
semanticscholar   +1 more source

Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface With Discrete Phase Shifts [PDF]

open access: yesIEEE Transactions on Communications, 2019
Intelligent reflecting surface (IRS) is a cost-effective solution for achieving high spectrum and energy efficiency in future wireless networks by leveraging massive low-cost passive elements that are able to reflect the signals with adjustable phase ...
Qingqing Wu, Rui Zhang
semanticscholar   +1 more source

AO-RMM: A Scalable Riemannian Optimization Framework for Joint IRS Phase and Precoding Design in mmWave Systems

open access: yesIEEE Open Journal of the Communications Society
Intelligent reflecting surfaces (IRS) represent a promising paradigm for augmenting millimetre-wave (mmWave) multi-user communication systems through highly advanced control of the radio propagation environment.
Mian Muhammad Kamal   +4 more
doaj   +1 more source

Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem

open access: yes, 2008
Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović   +8 more
core   +1 more source

Competent genetic-evolutionary optimization of water distribution systems [PDF]

open access: yes, 2001
A genetic algorithm has been applied to the optimal design and rehabilitation of a water distribution system. Many of the previous applications have been limited to small water distribution systems, where the computer time used for solving the problem ...
Wu, Z., Simpson, A.
core   +1 more source

JPPL: A joint-polarization phase linking algorithm for phase optimization of TSPolInSAR data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
In the time-series interferometric SAR (TSInSAR) technology, the phase linking (PL) algorithm can exploit all interferometric combinations to reconstruct the equivalent single master (ESM) interferograms for the phase quality improvement.
Peng Shen   +5 more
doaj   +1 more source

Multibaseline Polarimetric SAR Interferometry Coherence Optimization

open access: yes, 2008
This letter analyzes different approaches for polarimetric optimization of multibaseline (MB) interferometric coherences. Two general methods are developed to simultaneously optimize coherences for more than two data sets. The first method provides every
Ferro-Famil, Laurent   +2 more
core   +1 more source

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