Results 31 to 40 of about 5,848,127 (241)

A Range-ambiguous Clutter Suppression Method for MIMO Bistatic Airborne Radar

Leida xuebao, 2018
The ground clutter of sidelooking Multiple-Input Multiple-Output (MIMO) bistatic radar has severe problems of range-dependence and clutter spectrum spreading.
Wang Yuzhuo, Zhu Shengqi, Xu Jingwei
doaj   +1 more source

Real‐World Trends in Prenatal Antirheumatic Drug Utilization in Ontario, Canada: A Cross‐Sectional Time‐Series Analysis

Arthritis Care &Research, EarlyView.
Objective This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah, Swaleh Hussain, Sara J. T. Guilcher, Lisa M. McCarthy, Dharini Mahendira, Howard Berger, Mina Tadrous   +6 more
wiley   +1 more source

Nonlinear Suppression of Range Ambiguity in Pulse Doppler Radar [PDF]

, 2001
Coherent pulse train processing is most commonly used in airborne pulse Doppler radar, achieving adequate transmitter/receiver isolation and excellent resolution properties while inherently inducing ambiguities in Doppler and range.
Anderson, Jon M.
core   +1 more source

Analysis of the effectiveness of using complex probing signals to range ambiguity suppression in space monitoring systems [PDF]

E3S Web of Conferences
To improve the range resolution, it is necessary to expand the capture band. However, this leads to range ambiguity interference. This problem is especially serious in space view systems.
Khramov Konstantin, Zhiganov Sergey, Smirnov Mikhail, Zhiganova Elena   +3 more
doaj   +1 more source

Testing dynamic consistency and consequentialism under ambiguity [PDF]

, 2020
Accounting for ambiguity aversion in dynamic decisions generally implies that either dynamic consistency or consequentialism must be given up. To gain insight into which of these principles better describes people's preferences, we tested them using a ...
Eichberger, J�rgen, Li, Chen, Bleichrodt, Han, Kelsey, David, Grant, Simon, Eichberger, Jürgen   +5 more
core   +2 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Ambiguity and Social Interaction [PDF]

We present a non-technical account of ambiguity in strategic games and show how it may be applied to economics and social sciences. Optimistic and pessimistic responses to ambiguity are formally modelled.
Kelsey, David, Eichberger, Jürgen, Schipper, Burkhard   +2 more
core   +8 more sources

SAR Waveform Diversity Using PN-Sequence and Its Optimization With Genetic Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Waveform diversity is an important technique to suppress range ambiguities and extend the observation coverage of synthetic aperture radar (SAR) without sacrificing spatial resolution and power consumption.
Raito Suzuki, Akira Hirose, Ryo Natsuaki
doaj   +1 more source

Tomographic Performance of Multi-Static Radar Formations: Theory and Simulations

Remote Sensing, 2021
3D imaging of Earth’s surface layers (such as canopy, sub-surface, or ice) requires not just the penetration of radar signal into the medium, but also the ability to discriminate multiple scatterers within a slant-range and azimuth resolution cell.
Ilgin Seker, Marco Lavalle
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source