使用激光诱导分解光谱和卷积式LSTM深度学习算法作为可解释数据的珠宝岩石歧视
Pouriya Khalilian1, Fatemeh Rezaei2, Nazli Darkhal3
1Department of Physics, K. N. Toosi University of Technology, Tehran, 15875-4416, Iran.
Scientific reports
|March 2, 2024
概括
这项研究使用深度学习模型,卷积神经网络长期短期记忆 (CNN-LSTM),以准确地分类古代珠宝岩石. 该方法将激光诱导的分解光谱与可解释的AI相结合,用于有效的材料识别.
科学领域:
- 考古学科学 考古学科学
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
背景情况:
- 准确的古老珠宝石的分类对于历史和文化研究至关重要.
- 传统的岩石识别方法可能耗时,可能缺乏精度.
- 开发先进的分析技术对于描述历史遗址的材料至关重要,比如Shahr-e Sokhteh.
研究的目的:
- 使用深度学习方法对来自Shahr-e Sokhteh的珠宝岩石 (石,绿松石,石,蓝色) 进行分类.
- 解释卷积神经网络长期短期记忆 (CNN-LSTM) 架构的层次有效性.
- 量化确定珠宝石中的主要化学元素,并研究数据的互操作性.
主要方法:
- 使用一个卷积神经网络长期短期记忆 (CNN-LSTM) 深度学习架构.
- 使用可解释的深度学习辅助激光诱导分解光谱 (LIBS) 来进行特征提取和分析.
- 应用了拉索方法来研究数据的互操作性.
主要成果:
- 在根据其历史时期和风格对各种珠宝石进行分类方面取得了卓越的表现.
- 证明了CNN-LSTM在自适应性获得LIBS特征和定量化学数据方面的有效性.
- 在歧视过程中证实了高准确性,验证了拟议的方法.
结论:
- 激光诱导分解光谱 (LIBS) 有效地与深度学习算法相结合,用于珠宝岩石的分类.
- 该CNN-LSTM方法提供了一个高度准确和适合的材料歧视方法.
- 这项研究为分析历史文物提供了一个新的,可解释的深度学习框架.
相关概念视频
01:16Confocal Fluorescence Microscopy
16.0K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
16.0K
01:22Atomic Absorption Spectroscopy: Instrumentation
2.1K
An atomic absorption spectrophotometer (AAS) comprises several components: a radiation source, an atomizer, a monochromator, and a detector. The radiation source can be a hollow-cathode lamp (HCL) or an electrodeless-discharge lamp (EDL), both of which provide a narrow emission line of the required wavelength. However, some instruments use continuum sources and high-resolution monochromators to achieve a narrow range of radiation.
The atomizer used in AAS can be either a flame atomizer or an...
The atomizer used in AAS can be either a flame atomizer or an...
2.1K
01:25Atomic Absorption Spectroscopy: Interference
2.3K
Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
2.3K
01:21Atomic Absorption Spectroscopy: Lab
1.3K
For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
Solutions containing organic solvents, such as low-molecular-mass alcohols, esters, or ketones, enhance absorbances by increasing...
Solutions containing organic solvents, such as low-molecular-mass alcohols, esters, or ketones, enhance absorbances by increasing...
1.3K