Results 61 to 70 of about 3,061 (275)
Large size (∼100 µm) monolayer MoS2 grown by LPI‐CVD on n‐GaN exhibit a high n‐type doping, very low strain, and a type‐I band alignment at MoS2/GaN interface. Photocurrent measurements under illumination with photon energies from ∼2 to ∼5 eV show superior electro‐optical performances of these MoS2/n‐GaN heterojunctions as compared to Ni/n‐GaN devices ...
Salvatore Ethan Panasci +12 more
wiley +1 more source
Hybrid Compression of LiDAR Point Clouds Using Density-Based Partitioning
LiDAR point clouds exhibit large density variations, and these variations have a direct effect on compression efficiency. Geometry-based codecs such as the MPEG Geometry-based Point Cloud Coding standard (G-PCC) perform well on sparse point clouds, while
Nuno A. B. Martins +3 more
doaj +1 more source
A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
SAGANet: Structure-Aware Geometric Anisotropy Network for Point Cloud Compression and Upsampling
SAGANet, a novel deep-learning architecture for joint point cloud compression and upsampling that explicitly models the anisotropic nature of 3D surfaces, is presented.
Taeheyon Choi, Jinwan Park
doaj +1 more source
Model-based joint bit allocation between geometry and color for video-based 3D point cloud compression [PDF]
The file attached to this record is the author's final peer reviewed version.In video-based 3D point cloud compression, the quality of the reconstructed 3D point cloud depends on both the geometry and color distortions.
Su, Honglei +4 more
core +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin +5 more
wiley +1 more source
Point cloud geometry compression with sparse cascaded residuals and sparse attention
Effective compression of point clouds is essential for implementing virtual and mixed reality applications, which require encoding millions or even tens of millions of points. This paper offers a new geometric compression for point clouds based on sparse
Shiyu Lu, Huamin Yang, Cheng Han
doaj +1 more source
Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
Geometry-based point cloud compression (G-PCC), an international standard designed by MPEG, provides a generic framework for compressing diverse types of point clouds while ensuring interoperability across applications and devices. However, G-PCC underperforms compared to recent deep learning-based PCC methods despite its lower computational power ...
Wanhao Ma +3 more
openaire +2 more sources
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
wiley +1 more source

