Results 121 to 130 of about 3,165,496 (285)
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Advanced Materials Technologies, EarlyView.Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source
Advanced Robotics Research, EarlyView.An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
HeritageNeural radiance fields have emerged as a dominant paradigm for creating complex 3D environments incorporating synthetic novel views. However, 3D object removal applications utilizing neural radiance fields have lagged behind in effectiveness ...
Alexander Rusnak +3 more
doaj +1 more source
Neural Radiance Fields with Torch Units
CoRRNeural Radiance Fields (NeRF) give rise to learning-based 3D reconstruction methods widely used in industrial applications. Although prevalent methods achieve considerable improvements in small-scale scenes, accomplishing reconstruction in complex and large-scale scenes is still challenging.
Bingnan Ni +6 more
openaire +2 more sources
Advanced Robotics Research, EarlyView.A flexible liquid‐crystalline electrolyte membrane via in situ photopolymerization of a phosphate‐functionalized mesogen, ionic liquid, and diacrylate monomer is developed. The resulting smectic B (SmB)‐phase structure enables 2D ion transport with high conductivity (10−4 S cm−1).
Chengyang Liu, Masafumi Yoshio
wiley +1 more source
Sparse-view Material Decomposition for Spectral X-ray CT using Neural Radiance Fields
e-Journal of Nondestructive TestingPhoton-counting X-ray detectors, in contrast to conventional flat panel detectors, have the capability of distinguishing between photons with different energies, and have been leveraged for material decomposition tasks for materials with similar X-ray ...
Takumi Hotta +3 more
doaj +3 more sources
Interactive geometry editing of Neural Radiance Fields
DisplaysIn this paper, we propose a method that enables interactive geometry editing for neural radiance fields manipulation. We use two proxy cages(inner cage and outer cage) to edit a scene. The inner cage defines the operation target, and the outer cage defines the adjustment space. Various operations apply to the two cages. After cage selection, operations
Shaoxu Li, Ye Pan
openaire +4 more sources
Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation
, 2023 Neural Radiance Fields (NeRF) have significantly advanced the generation of highly realistic and expressive 3D scenes. However, the task of editing NeRF, particularly in terms of geometry modification, poses a significant challenge.
Liu, Ruiyang +5 more
core
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Mesh Synthesis Based on Neural Radiance Fields
, 2023 Neural Radiance Fields (NeRFs) are a recently developed volume representation that enables novel view synthesis using neural networks. NeRFs rendering process is very slow when compared to traditional mesh rendering techniques.
Ciotta, Luca
core +1 more source