Results 71 to 80 of about 525,074 (283)
Virtualized Point Cloud Rendering
IEEE Transactions on Visualization and Computer GraphicsRemote sensing technologies, such as LiDAR, produce billions of points that commonly exceed the storage capacity of the GPU, restricting their processing and rendering. Level of detail (LoD) techniques have been widely investigated, but building the LoD structures is also time-consuming.
José Antonio Collado +3 more
openaire +3 more sources
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
Advanced Functional Materials, EarlyView.DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
CLASSIFICATION OF POLE-LIKE OBJECTS USING POINT CLOUDS AND IMAGES CAPTURED BY MOBILE MAPPING SYSTEMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The vehicle-based mobile mapping system (MMS) is effective for capturing 3D shapes and images of roadside objects. The laser scanner and cameras on the MMS capture point-clouds and sequential digital images synchronously during driving. In this paper, we
Y. Mori, K. Kohira, H. Masuda
doaj +1 more source
Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework
Advanced Functional Materials, EarlyView.The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim +15 more
wiley +1 more source
Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation
Advanced Functional Materials, EarlyView.A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah +9 more
wiley +1 more source
Automatic Registration of TLS-TLS and TLS-MLS Point Clouds Using a Genetic Algorithm
Sensors, 2017 Registration of point clouds is a fundamental issue in Light Detection and Ranging (LiDAR) remote sensing because point clouds scanned from multiple scan stations or by different platforms need to be transformed to a uniform coordinate reference frame ...
Li Yan +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske +4 more
wiley +1 more source
A Weakly Supervised Vehicle Detection Method from LiDAR Point Clouds [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesTraining LiDAR point clouds object detectors requires a significant amount of annotated data, which is time-consuming and effort-demanding. Although weakly supervised 3D LiDAR-based methods have been proposed to reduce the annotation cost, their ...
Y. Li +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Materials exist that are useful for gamma scintillation, radiation shielding, neutron‐gamma pulse shape discrimination (PSD), thermal neutron detection, or high refractive index applications. While certain materials have exhibited optimal performance for each of these applications, none achieve multiple functions.
Isabelle Winardi +13 more
wiley +1 more source