Results 81 to 90 of about 48,763 (257)
A Self-Supervised Learning Manipulator Grasping Approach Based on Instance Segmentation
Automatic grasping is playing an important role in robotics, and traditional grasping approaches cannot deal with both occlusions and texture-less objects well.
Xin Shu +4 more
doaj +1 more source
Markers Identification for Relative Pose Estimation of an Uncooperative Target
This paper introduces a novel method using chaser spacecraft image processing and Convolutional Neural Networks (CNNs) to detect structural markers on the European Space Agency's (ESA) Environmental Satellite (ENVISAT) for safe de-orbiting. Advanced image pre-processing techniques, including noise addition and blurring, are employed to improve marker ...
Batu Candan, Simone Servadio
openaire +2 more sources
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Experimental Study of Spacecraft Pose Estimation Algorithm Using
This paper presents a vision-based relative pose estimation algorithm and its validation through both numerical and hardware experiments. The algorithm and the hardware system were simultaneously designed considering actual experimental conditions. Two
Jeonghoon Hyun +2 more
doaj +1 more source
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
Structure-Aware Correspondence Learning for Relative Pose Estimation
Relative pose estimation provides a promising way for achieving object-agnostic pose estimation. Despite the success of existing 3D correspondence-based methods, the reliance on explicit feature matching suffers from small overlaps in visible regions and unreliable feature estimation for invisible regions.
Yihan Chen +5 more
openaire +2 more sources
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Acute caffeine treatment protects the developing retina from ischemia‐induced cell death
Caffeine reduces cell death in the developing retina under ischemia (OGD). This effect does not involve BDNF upregulation or antioxidant pathways (NRF2/VEGF). Neuroprotection occurs mainly through adenosine A2A receptor antagonism, decreasing glutamate release and excitotoxicity, highlighting caffeine's potential as an acute neuroprotective agent in ...
Amanda Alves Nascimento +6 more
wiley +1 more source
Robust Pose Estimation by Fusing Partial Color and Depth Imagery
Pose estimation algorithms are an extensively studied research topic in the field of computer vision and machine learning. Even though many algorithms attempt to solve the problem, most algorithms are still not accurate enough to recover poses in real ...
Alper Mehmet Akif
doaj +1 more source
A Unified Framework for Absolute and Relative Pose Estimation of Spherical Cameras
Spherical cameras are polydiopter cameras that use multiple lenses with overlapping field of view to capture the scene. A spherical view of the scene is reconstructed through stitching algorithms after correcting the distortion introduced by the lenses ...
Liliana Lo Presti +2 more
doaj +1 more source

