K. Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum. IEEE Trans. Image Process. 19, 2241–2253 (2010). Article MathSciNet PubMed ADS Google Scholar Chakrabarti, A. & Zickler, T. Statistics of real-world hyperspectral images. In CVPR 2011, ...
(GenBank No. A10072.1) and cloned into the PUC57 plasmid, containing the target nucleic acid fragment. And the cfDNA standard sample was obtained through basic PCR assay. Then, the sample was evaluated by next-generation sequencing and nanodrop UV-vis spectrum for measuring its concentration. ...
Sleep stage classification Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural Network CNN IEEE EMBC 2020 Sleep stage classification Personalized automatic sleep staging with single-night data: a pilot study with Kullback--Leibler divergence regularization RNN...
Infrared light covers a broad range of the spectrum, from 700 Nm to 1 mm. Most IR LED’s used in remote controls operate at 850 Nm to 940 Nm range so most receivers are tuned to receive light within this range. This is another way that they prevent interference from sunlight and other...
Disclosed herein is a method and apparatus for transmitting a signal using licensed spectrum when the unlicensed spectrum congestion. 一种方法包括:在第一移动设备处从第二移动设备接收请求信号,在第一移动设备处使用非许可频谱从一个或多个移动设备接收远程信号,使用许可频谱从第一移动设备向第二移动设备发送...
Unlike the NDWI, the NDBI is never affected by the prevailing hydric conditions as it uses spectral bands that are found in the Near-Infrared part of the EM spectrum hence clear visibility in the results (Liu & Zhang, 2011). This study found NDBI to be a reliable metric of urban ...
[17]. The expansion of IoT also brings forth numerous challenges in various IoT applications, including standardization, interoperability, data storage, processing, trust management, identity, and privacy [18,19,20]. These challenges encompass a broad spectrum of concerns that must be addressed to ...
we also incorporated a term to impose constraints on the energy distribution of the output power spectrum (see the Methods section). This loss term aimed to maximize the output diffraction efficiency at\({\lambda }_{1}\)and\({\lambda }_{2}\), while minimizing it at other neighboring wave...
As a pre‐processing step to extract complex data, the OCT reference spectrum was subtracted from the interference signal to remove DC bias, then Fourier transform was performed to extract the depth‐resolved OCT signal. The top half of the Fourier transformed data was considered as valid complex...
vegetation surveys have gradually shifted from field surveys to remote sensing-based methods. Coupled with the machine learning methods, the Unmanned Aerial Vehicle (UAV) multispectral remote sensing data can effectively improve the detection accuracy of vegetation and extract the important spectrum ...