Results 91 to 100 of about 118,476 (365)

Noise reduction method for mine wind speed sensor data based on CEEMDAN-wavelet threshold

Scientific Reports
The mine wind speed sensor is an important intelligent sensing equipment in the mine intelligent ventilation system that can provide accurate and key wind speed parameters for the intelligent ventilation system. The turbulent pulsation characteristics of
Yu Wang, Jian Liu, Dong Wang, Xue Liu, Peng Cao, Kunpeng Hua   +5 more
doaj   +1 more source

A Novel Joint Denoising Method for Hydrophone Signal Based on Improved SGMD and WT

Sensors
Underwater acoustic technology as an important means of exploring the oceans is receiving more attention. Denoising for underwater acoustic information in complex marine environments has become a hot research topic.
Tianyu Xing, Xiaohao Wang, Kai Ni, Qian Zhou   +3 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

Advanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee, Gunhyoung Kim, Dongho Lee, Seowoo Son, Hyunho Seok, Sihoon Son, Hyunbin Choi, Geonwook Kim, Geumji Back, Hyunkyu Kim, Chaerin Park, Junmin Ahn, Seongyun Je, Chaeyoung Im, Junil Cho, Magdalena Grzeszczyk, Seongho Kim, Eunseo Go, Hyunwoo Shim, Donghwan Choi, Muyoung Kim, Hyoeng‐U. Kim, Won‐Jun Jang, Taesung Kim   +23 more
wiley   +1 more source

Full Vectorial Field Sensing Using Liquid Crystal Droplet Arrays

Advanced Materials, EarlyView.
An inkjet‐printed liquid crystal droplet array enables compact, low‐cost, single‐shot sensing of the full vectorial light field. Within a single platform, it simultaneously retrieves intensity, polarization, and phase, while dual‐wavelength operation highlights its capability for multi‐wavelength optical field characterization. ABSTRACT Determining the
Xuke Qiu, Jinge Guo, Jiahe Cui, Runchen Zhang, Zimo Zhao, Yifei Ma, Waqas Kamal, Steve J. Elston, Alfonso A. Castrejón‐pita, Stephen M. Morris, Chao He   +10 more
wiley   +1 more source

Simple Synthesis of Entropy Stabilized Oxides Single Crystal Films

Advanced Materials Interfaces, EarlyView.
Diffusion‐controlled enables the creation of a single‐crystal thin film of Entropy‐stabilized oxides (ESO). ABSTRACT Entropy‐stabilized oxides (ESO) have emerged in the last decade as a new class of metastable materials with promising functional properties.
Antoine Raison, Nathalie Prud'homme, Christophe Racic, Wu Wang, Diana Dragoe, David Bérardan, Nita Dragoe   +6 more
wiley   +1 more source

Real Time Motion Estimation Algorithm for Temporal Denoising [PDF]

, 2022
This thesis introduces a low-complexity, but efficient, motion estimation algorithm, that could be implemented in FPGA, in a professional digital camera to apply it on-the-fly while recording a video-sequence.The main aim of the proposed algorithm it to ...
Caratozzolo, Cesare
core  

A New Denoising Method for Underwater Acoustic Signal

IEEE Access, 2020
In recent years, the rapid development of marine science has put forward higher and higher requirements for the processing of ship-radiated noise signal.
Hong Yang, Lulu Li, Guohui Li
doaj   +1 more source

Deep Learning Model to Denoise Luminescence Images of Silicon Solar Cells

Advanced Science, 2023
Luminescence imaging is widely used to identify spatial defects and extract key electrical parameters of photovoltaic devices. To reliably identify defects, high‐quality images are desirable; however, acquiring such images implies a higher cost or lower ...
Grace Liu, Priya Dwivedi, Thorsten Trupke, Ziv Hameiri   +3 more
doaj   +1 more source

CharlesDove/DCNN-Laser-Speckle-Image-Denoising: Initial Release

, 2019
Model and data to accompany the paper "Laser Speckle Image Denoising with Deep Convolutional Neural ...
CharlesDove
core   +1 more source