Results 221 to 230 of about 178,773 (337)

Enabling robots to autonomously search dynamic cluttered post-disaster environments. [PDF]

Sci Rep
Rado K, Baglioni M, Jamshidnejad A.
europepmc   +1 more source

Magnetic Resonance Imaging Reveals Meningeal Lymphatic Impairment in Lung Adenocarcinoma Brain Metastasis Progression

Advanced Science, EarlyView.
This study demonstrates meningeal lymphatic impairment associated with lung adenocarcinoma brain metastasis progression in both human patients and mouse models, establishes clinically applicable non‐invasive imaging biomarkers for quantitative analyzing mLV structure and function, and reveals mLVs as robust prognostic indicators and promising potential
Yuan Zhang, Shucheng Jin, Penghui Guo, Yuying Yin, Yichun Hua, Xiaosheng Ding, Zhe Zhang, Shuo Chen, Xu Han, Baowang Li, Yan Liu, Xiaoyan Li, Deling Li, Jing Jing, Wei Shi, Wang Jia   +15 more
wiley   +1 more source

Moving horizon estimation for nonlinear systems with time-varying parameters

Julian D. Schiller, Matthias A. Müller
openalex   +1 more source

SeADL: Self-Adaptive Deep Learning for Real-Time Marine Visibility Forecasting Using Multi-Source Sensor Data. [PDF]

Sensors (Basel)
Girard W, Xu H, Yan D.
europepmc   +1 more source

Interlayer Dzyaloshinskii–Moriya Interaction in Synthetic Ferrimagnets for Spiking Neural Networks

Advanced Science, EarlyView.
This work introduces a groundbreaking integration of asymmetric magnetic structures (synthetic ferrimagnets) and antisymmetric magnetic interaction (interlayer Dzyaloshinskii–Moriya interaction) for the first time. It addresses the critical challenge of IL‐DMI detection and shows the discovery of unprecedented analog‐like spin‐orbit torque switching ...
Shen Li, Xing Chen, Mouad Fattouhi, Tianxun Huang, Chen Lv, Mark C. H. de Jong, Pingzhi Li, Daoqian Zhu, Xiaoyang Lin, Felipe Garcia‐Sanchez, Eduardo Martinez, Stéphane Mangin, Bert Koopmans, Weisheng Zhao, Reinoud Lavrijsen   +14 more
wiley   +1 more source

On-board Micro Quadrotor State Estimation Using Range Measurements: A Moving Horizon Approach

, 2019
Stein Stroobants
openalex   +1 more source

Quantitative Stain Mapping in X‐Ray Virtual Histology

Advanced Science, EarlyView.
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John, David M. Paganin, Marie‐Christine Zdora, Lisa Marie Petzold, Patrick Ilg, Junan Chen, Sara Baggio, Johannes B. Thalhammer, Sami Wirtensohn, Julian Moosmann, Jörg U. Hammel, Felix Beckmann, Samantha J. Alloo, Jannis N. Ahlers, Madleen Busse, Julia Herzen, Kaye S. Morgan   +16 more
wiley   +1 more source

Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds [PDF]

Jelena Trisovic, Alexandre Didier, Simon Muntwiler, Melanie N. Zeilinger   +3 more
openalex   +1 more source

A machine learning framework for long-term forecasting of spare part demand in end-of-life product scenarios. [PDF]

Sci Rep
B SN, Reddy BVS, Sujan VSS, Sastry CC, Krishnaiah J, Jitpichitchai S.   +5 more
europepmc   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source