Results 141 to 150 of about 279,028 (324)

Improved Variational Bayes for Space-Time Adaptive Processing

Entropy
To tackle the challenge of enhancing moving target detection performance in environments characterized by small sample sizes and non-uniformity, methods rooted in sparse signal reconstruction have been incorporated into Space-Time Adaptive Processing ...
Kun Li, Jinyang Luo, Peng Li, Guisheng Liao, Zhixiang Huang, Lixia Yang   +5 more
doaj   +1 more source

Enabling Real‐Time, Non‐Ionizing 3D Imaging of Implantable Magnetic Cements Using Magnetic Particle Imaging

Advanced Materials Interfaces, EarlyView.
This study reports the first implantable resin cement capable of orientation‐sensitive Magnetic Particle Imaging (MPI). By coating the cement with an ultrathin iron film, the authors achieve a strong, angle‐dependent MPI signal that enables non‐ionizing, real‐time tracking of both implant position and orientation, opening new possibilities for safe ...
Gabriel C. Pinto, João M. Costa, Simão P. Fernandes, Gabriela F. Resende, Eduardo T. C. Coimbra, Patrick Vogel, Mariana B. Oliveira, Marco Giardiello, Ricardo M. Silva, Armando A.C.S. Lourenço, Nuno J. O. Silva   +10 more
wiley   +1 more source

Catch, Release, Repeat: Reversible Protein Capture in Electric Fields Using Antifouling Polymer Brushes

Advanced Materials Interfaces, EarlyView.
ABSTRACT Capturing proteins is easy since their amphiphilic nature allows them to bind to almost any surface. Because of this, releasing them is challenging since various interactions need to be considered for this. We present a simple method to reversibly adsorb proteins on stabilized electrodes.
Erik J. Postma, Andriy R. Kuzmyn, Karin Schroën, Sissi de Beer   +3 more
wiley   +1 more source

Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems. [PDF]

IEEE Trans Inf Theory, 2020
Bernstein B, Liu S, Papadaniil C, Fernandez-Granda C.   +3 more
europepmc   +1 more source

A Note on Block-Sparse Signal Recovery with Coherent Tight Frames [PDF]

, 2013
Yao Wang, Jianjun Wang, Zongben Xu
openalex   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Clutter Suppression Technology Based Space-time Adaptive ANM-ADMM-Net for Bistatic SAR

Leida xuebao
Bistatic Synthetic Aperture Radar (BiSAR) needs to suppress ground background clutter when detecting and imaging ground moving targets. However, due to the spatial configuration of BiSAR, the clutter poses a serious space-time nonstationary problem ...
Zhongyu LI, Haozhuo PI, Jun’ao LI, Qing YANG, Junjie WU, Jianyu YANG   +5 more
doaj   +1 more source

Smoothing and Decomposition for Analysis Sparse Recovery [PDF]

, 2014
Zhao Tan, Yonina C. Eldar, Amir Beck, Arye Nehorai   +3 more
openalex   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source