Results 61 to 70 of about 6,391,115 (351)
Applied Sciences, 2022 In this study, the effect of the hydrophilic–lipophilic balance (HLB) number and cloud point (CP) of a secondary-alcohol ethoxylated nonionic surfactant on degreasing efficiency was investigated.
Su-Byung Jeon +3 more
doaj +1 more source
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training [PDF]
IEEE International Conference on Computer Vision, 2022 Pre-training across 3D vision and language remains under development because of limited training data. Recent works attempt to transfer vision-language (V-L) pre-training methods to 3D vision. However, the domain gap between 3D and images is unsolved, so
Tianyu Huang +6 more
semanticscholar +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2015 In this study, the influence of NaCl on the cloud point of polyethoxylate surfactants from the family of lauryl alcohol polyethoxylates (C12EOn ) and nonylphenol polyethoxylates (NPEOn ) was investigated.
Alessandro Alisson de Lemos-Araújo +3 more
doaj +1 more source
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Point cloud completion concerns to predict missing part for incomplete 3D shapes. A common strategy is to generate complete shape according to incomplete input.
Xin Wen +5 more
semanticscholar +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2014 Palm oil biodiesel (POB) has excellent properties as a fuel for engines. However, due to its highly saturated chemical composition, this biofuel presents a faulty performance at temperatures close to the environmental temperature of several Colombian ...
Alirio Yovany Benavides +2 more
doaj +1 more source
Remote Sensing, 2021 Point cloud classification is a key technology for point cloud applications and point cloud feature extraction is a key step towards achieving point cloud classification.
Yong Li +5 more
doaj +1 more source
Two-point correlation properties of stochastic "cloud processes'' [PDF]
, 2007 We study how the two-point density correlation properties of a point particle distribution are modified when each particle is divided, by a stochastic process, into an equal number of identical "daughter" particles. We consider generically that there may
A. Gabrielli +10 more
core +3 more sources
Point Cloud Audio Processing [PDF]
2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021 Most audio processing pipelines involve transformations that act on fixed-dimensional input representations of audio. For example, when using the Short Time Fourier Transform (STFT) the DFT size specifies a fixed dimension for the input representation. As a consequence, most audio machine learning models are designed to process fixed-size vector inputs
Subramani, Krishna, Smaragdis, Paris
openaire +2 more sources
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis [PDF]
IEEE transactions on intelligent transportation systems (Print), 2022 Point cloud completion is a generation and estimation issue derived from the partial point clouds, which plays a vital role in the applications of 3D computer vision.
Ben Fei +7 more
semanticscholar +1 more source
PF-Net: Point Fractal Network for 3D Point Cloud Completion [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we propose a Point Fractal Network (PF-Net), a novel learning-based approach for precise and high-fidelity point cloud completion. Unlike existing point cloud completion networks, which generate the overall shape of the point cloud from ...
Zitian Huang +4 more
semanticscholar +1 more source