Prediction of Water Chemical Oxygen Demand with Multi-Scale One-Dimensional Convolutional Neural Network Fusion and Ultraviolet–Visible Spectroscopy

Prediction of Water Chemical Oxygen Demand with Multi-Scale One-Dimensional Convolutional Neural Network Fusion and Ultraviolet–Visible Spectroscopy

Chemical oxygen demand (COD) is a critical parameter employed to assess the level of organic pollution in water. Accurate COD detection is essential for effective environmental monitoring and water quality assessment. Ultraviolet–visible (UV-Vis) spectroscopy has become a widely applied method for C...

Full description

Saved in:
Bibliographic Details
Main Authors: Jingwei Li, Yijing Lu, Yipei Ding, Chenxuan Zhou, Jia Liu, Zhiyu Shao, Yibei Nian
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Biomimetics
Subjects:
UV-Vis spectroscopy
COD
one-dimensional convolutional neural network
Online Access:https://www.mdpi.com/2313-7673/10/3/191
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items