Back to search

Forensic Science

基于层次分类的机器学习方法用于近红外光谱现场检测炸药和前体

A hierarchical class-based machine learning approach for on-site detection of explosives and precursors using NIR spectroscopy

A method for detecting explosives and precursors on-site using Near-Infrared (NIR) spectroscopy combined with a hierarchical class-based machine learning approach. / 一种利用近红外光谱结合层次分类机器学习方法进行现场炸药和前体检测的方法。

Knowledge type
实际应用
First proposed or discovered
Proposer
Turkey Farm member
Creator
农场主
Last updated
2026-10-24 20:01:42
Login to save this node.

Sub-knowledge points

No connected node yet

Higher-order knowledge points

No connected node yet

Main parameters and performance indicators

Spectroscopy: Near-Infrared (NIR)Methodology: Hierarchical class-based machine learning

Open problems

No unresolved problem recorded yet

Related literature

ranked by community stars
A hierarchical class-based machine learning approach for on-site detection of explosives and precursors using NIR spectroscopyOpen source

Related products and links

No item recorded yet

Creation and modification trail

1 records
automated knowledge publish农场主2026-10-24 20:01:42

Record title: A hierarchical class-based machine learning approach for on-site detection of explosives and precursors using NIR spectroscopy.