Results 101 to 110 of about 14,095 (277)
Sparse-view Material Decomposition for Spectral X-ray CT using Neural Radiance Fields
Photon-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
An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning
For short-term solar irradiance forecasting, the traditional point forecasting methods are rendered less useful due to the non-stationary characteristic of solar power.
Mishra, Sakshi, Palanisamy, Praveen
core
MS-NeRF: Multi-Space Neural Radiance Fields
Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single radiance field, we propose a multi-space neural radiance field (MS-NeRF) that represents the scene using a group of feature fields in parallel sub-spaces, which leads to a ...
Ze-Xin Yin +4 more
openaire +3 more sources
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Neural 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
Being able to effectively identify clouds and monitor their evolution is one important step toward more accurate quantitative precipitation estimation and forecast. In this study, a new gradient-based cloud-image segmentation technique is developed using
Hayatbini, Negin +4 more
core
NeRF-Texture: Synthesizing Neural Radiance Field Textures
Texture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast, many real-world textures contain meso-structure in the 3D geometry space, such as grass, leaves, and fabrics, which cannot be effectively modeled using only 2D image textures.
Yi-Hua Huang +4 more
openaire +3 more sources
Radiation‐Resistant Aluminum Alloy for Space Missions in the Extreme Environment of the Solar System
A novel ultrafine‐grained aluminum crossover alloy exhibits unprecedented radiation resistance and mechanical stability under extreme irradiation doses up to 100 dpa. The exceptional resilience arises from thermodynamically stable T‐phase precipitates, enabling lightweight structural materials for next‐generation spacecraft and extraterrestrial ...
Patrick D. Willenshofer +9 more
wiley +1 more source
Linear mixing model applied to coarse resolution satellite data [PDF]
A linear mixing model typically applied to high resolution data such as Airborne Visible/Infrared Imaging Spectrometer, Thematic Mapper, and Multispectral Scanner System is applied to the NOAA Advanced Very High Resolution Radiometer coarse resolution ...
Holben, Brent N., Shimabukuro, Yosio E.
core +1 more source
Interactive geometry editing of Neural Radiance Fields
In 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
Li, Shaoxu, Pan, Ye
openaire +2 more sources

