Results 51 to 60 of about 2,383 (165)
Optimisation of Sparse Linear Arrays Based on Enhanced Differential Evolution Algorithm
IET Microwaves, Antennas &Propagation, Volume 20, Issue 1, January/December 2026.To address the challenge of reducing the peak sidelobe level (PSLL) in linear sparse array antennas, a differential evolution (DE) algorithm that integrates feasible solution repair and dynamic subpopulation selection is proposed. ABSTRACT To address the challenge of reducing the peak sidelobe level (PSLL) in linear sparse array antennas, a ...
Yuanhao Chang +4 more
wiley +1 more source
Engineering Reports, Volume 7, Issue 8, August 2025.Enhancing geotechnical survey accuracy: Integrating intermediate soil properties (ISP) interpolation with multidimensional raster data (MRD) for comprehensive subsurface characterization and improved project efficiency. ABSTRACT Accurate subsurface characterization is essential in geotechnical surveys, yet traditional soil sampling techniques often ...
Aliya Aldungarova +9 more
wiley +1 more source
American Journal of Biological Anthropology, Volume 187, Issue 3, July 2025.ABSTRACT Objectives This study provides the description and comparative morphometric analysis of a non‐hallucial distal pedal phalanx (PP 654270) excavated from near the base of the LBSR Stratigraphic Aggregate in the Pinnacle Point PP5‐6N rock‐shelter.
Adrián Pablos +5 more
wiley +1 more source
Cluster Expansion Models Via Bayesian Compressive Sensing [PDF]
, 2013 The steady march of new technology depends crucially on our ability to discover and design new, advanced materials. Partially due to increases in computing power, computational methods are now having an increased role in this discovery process.
Nelson, Lance Jacob
core +1 more source
Bayesian Compressive Sensing For Radar Based DoA Estimation Using Sparse Sensor Arrays [PDF]
, 2022 Direction of Arrival (DoA) estimation is an important topic in radar application and has significant importance for advanced driver assistant systems in the automotive industry. While there is an increasing need for higher resolution and increased target
Lamberti, Lucas (author)
core
Robust BCS-based Direction-of-Arrival and Bandwidth Estimation of Unknown Signals for Cognitive Radar [PDF]
, 2018 International audienceThe problem of the estimation of the directions-of-arrival (DoA) and the bandwidth (BW) of wideband signals impinging on an array of electromagnetic sensors is addressed in this work.
Mohammad Abdul Hannan +5 more
core +3 more sources
Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends
MedComm, Volume 6, Issue 6, June 2025.Breast cancer detection involves a combination of clinical diagnosis, pathological examination, and various imaging tests. We focus on utilizing deep learning models in digital breast tomosynthesis for diagnostic classification, lesion localization, and medical image generation.
Ruoyun Wang +12 more
wiley +1 more source
Bayesian compressive sensing for synthetic-aperture radar tomography imaging
, 2020 To achieve high-resolution three-dimensional images, a number of imaging methods based on compressive sensing (CS) have been suggested in the recent years for synthetic-aperture radar (SAR) tomography. However, the CS-based methods are sensitive to noise.
X. Ren, Y. Qin, L. Qiao
semanticscholar +1 more source
Robust Diagnostics for Bayesian Compressive Sensing Technique in Structural Health Monitoring [PDF]
, 2011 Signal compression is often important to reduce the cost of data transfer and storage for structural health monitoring (SHM) systems of civil structures.
Beck, J. L., Wu, S., Li, H., Huang, Y.
core
Multi-resolution BCS-based approach for DoA estimation [PDF]
, 2015 International audienceThe problem of the estimation of the number and angles of arrival of electromagnetic signals impinging on a linear array of sensors is addressed by means of a multi-resolution approach based on the Bayesian Compressive Sensing (BCS).
Carlin, Matteo +9 more
core +1 more source