Results 91 to 100 of about 6,190,166 (311)

Hybrid Filtering Method for Multisource Point Cloud Data of Maglev Tracks [PDF]

Jisuanji gongcheng
In the simulation data processing of maglev tracks, the filtering and extraction of maglev track point cloud data is an important link. Thus, practical applications should adopt an efficient filtering method according to the characteristics of the maglev
ZHANG Yuxin, ZHANG Lei, OU Dongxiu
doaj   +1 more source

Biallelic Inactivation of NSD1 Associated With Carcinogenesis in Sotos Syndrome

Pediatric Blood &Cancer, EarlyView.
Nicholas A. Borja, Anuja Sule, Katie Ann McMullen, Aditi Dhir, Matthew D. Hall, Heather J. McCrea, Sakir Humayun Gultekin, Mustafa Tekin, Bradley Gampel   +8 more
wiley   +1 more source

Modulating Electrochemical CO2 Reduction Pathways via Interfacial Electric Field

Advanced Functional Materials, EarlyView.
Engineering interfacial electric fields in Cu/ITO electrodes enables precise control of CO2 reduction pathways. Charge transfer from Cu to ITO generates positively charged Cu species that steer selectivity from ethylene toward methane. This work demonstrates how interfacial electric‐field modulation can direct reaction intermediates and transform ...
Mahdi Salehi, Zhengyuan Gao, Sai Phani Kumar Vangala, Amirhossein Farzi, Hamed Heidarpour, Morgan McKee, Nikolay Kornienko, Ali Seifitokaldani   +7 more
wiley   +1 more source

Data-Driven Point Cloud Objects Completion

Sensors, 2019
With the development of the laser scanning technique, it is easier to obtain 3D large-scale scene rapidly. However, many scanned objects may suffer serious incompletion caused by the scanning angles or occlusion, which has severely impacted their future ...
Yang Zhang, Zhen Liu, Xiang Li, Yu Zang
doaj   +1 more source

Virtualized Point Cloud Rendering

IEEE Transactions on Visualization and Computer Graphics
Remote 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, Alfonso López, Juan Manuel Jurado, Juan Roberto Jiménez   +3 more
openaire   +3 more sources

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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

A review of rigid point cloud registration based on deep learning

Frontiers in Neurorobotics
With the development of 3D scanning devices, point cloud registration is gradually being applied in various fields. Traditional point cloud registration methods face challenges in noise, low overlap, uneven density, and large data scale, which limits the
Lei Chen, Changzhou Feng, Yunpeng Ma, Yikai Zhao, Chaorong Wang   +4 more
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, Namhee Kwon, Sang Woo Park, Wonsik Kim, Seunghwan Kim, Eunki Yoon, Aelim Ha, Donggyu Lee, Young Yong Kim, Jong‐Cheol Lee, Sungho Lee, Junghan Lee, Kyu Hyoung Lee, Yeonjin Yi, Ki‐Ha Hong, Soohyung Park   +15 more
wiley   +1 more source

Research on the Method for Recognizing Bulk Grain-Loading Status Based on LiDAR

Sensors
Grain is a common bulk cargo. To ensure optimal utilization of transportation space and prevent overflow accidents, it is necessary to observe the grain’s shape and determine the loading status during the loading process.
Jiazun Hu, Xin Wen, Yunbo Liu, Haonan Hu, Hui Zhang   +4 more
doaj   +1 more source