[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

Single-pixel imaging 12 years on: a review

GM Gibson, SD Johnson, MJ Padgett - Optics express, 2020 - opg.optica.org
Modern cameras typically use an array of millions of detector pixels to capture images. By
contrast, single-pixel cameras use a sequence of mask patterns to filter the scene along with …

[PDF][PDF] 6G 移动通信网络: 愿景, 挑战与关键技术

赵亚军, 郁光辉, 徐汉青 - 中国科学: 信息科学, 2019 - arxiv.org
摘要随着5G 网络开启规模商业部署, 越来越多的研究机构及相关人员开始对下一代移动通信
系统进行研究. 本文将探讨十年后(2030 年~) 的6G 概念. 本文首先用四个关键词概括未来6G …

Far-field super-resolution ghost imaging with a deep neural network constraint

F Wang, C Wang, M Chen, W Gong, Y Zhang… - Light: Science & …, 2022 - nature.com
Ghost imaging (GI) facilitates image acquisition under low-light conditions by single-pixel
measurements and thus has great potential in applications in various fields ranging from …

[HTML][HTML] A survey of sound source localization with deep learning methods

PA Grumiaux, S Kitić, L Girin, A Guérin - The Journal of the Acoustical …, 2022 - pubs.aip.org
This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …

Deep learning techniques for inverse problems in imaging

G Ongie, A Jalal, CA Metzler… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Recent work in machine learning shows that deep neural networks can be used to solve a
wide variety of inverse problems arising in computational imaging. We explore the central …

Recent advances and applications of machine learning in solid-state materials science

J Schmidt, MRG Marques, S Botti… - npj computational …, 2019 - nature.com
One of the most exciting tools that have entered the material science toolbox in recent years
is machine learning. This collection of statistical methods has already proved to be capable …

Massive access for 5G and beyond

X Chen, DWK Ng, W Yu, EG Larsson… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Massive access, also known as massive connectivity or massive machine-type
communication (mMTC), is one of the main use cases of the fifth-generation (5G) and …

[图书][B] Data-driven science and engineering: Machine learning, dynamical systems, and control

SL Brunton, JN Kutz - 2022 - books.google.com
Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …

A wavelength-scale black phosphorus spectrometer

S Yuan, D Naveh, K Watanabe, T Taniguchi, F Xia - Nature Photonics, 2021 - nature.com
On-chip spectrometers with compact footprints are being extensively investigated owing to
their promising future in critical applications such as sensing, surveillance and spectral …