相关实验视频

Updated: Jun 26, 2025

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

7.2K

化品凝分类的深度学习模型基于短期里埃转换和光谱图.

Jae Ho Sim1,2, Jengsu Yoo1, Myung Lae Lee1

  • 1Materials and Components Research Division, Superintelligence Creative research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Republic of Korea.

ACS applied materials & interfaces
|May 13, 2024
PubMed
概括

这项研究引入了一种深度学习方法,使用摩擦信号分析化品凝特性. 基于STFT的优化2D CNN模型为传统的感官评估提供了可靠,客观的替代方案.

关键词:
卷积神经网络 (CNN) 是一个神经网络.化品凝化品凝深度学习是一种深度学习.学习速度调度器学习速度调度器类风病学 类风病学 类风病学频谱图是指光谱图中的光谱.部落学 (tribology) 是一个学科.

更多相关视频

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.1K
Deep Learning-Based Segmentation of Cryo-Electron Tomograms10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.7K

相关概念视频

Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
263
Continuous -time Fourier Transform01:11

Continuous -time Fourier Transform

The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
312