江苏大学主页平台管理系统 ouyangqin--Home-- Quantitative analysis and visualization of chemical compositions during shrimp flesh deterioration using hyperspectral imaging: A comparative study of machine learning and deep learning models

Language : English

欧阳琴

Home

Scientific Research: Research Field; Paper Publications; Patents; Published Books; Research Projects

Teaching Research: Teaching Resources; Teaching Information; Teaching Achievement

Awards and Honours

Enrollment Information

Student Information

My Album

Blog

Recommended Ph.D.Supervisor
Recommended MA Supervisor

MOBILE Version

Paper Publications

Current position: Home > Scientific Research > Paper Publications

Quantitative analysis and visualization of chemical compositions during shrimp flesh deterioration using hyperspectral imaging: A comparative study of machine learning and deep learning models

Hits:

Affiliation of Author(s):食品与生物工程学院

ISSN No.:0308-8146

Translation or Not:no

Pre One:Integrating Humidity-Resistant and Colorimetric COF-on-MOF Sensors with Artificial Intelligence Assisted Data Analysis for Visualization of Volatile Organic Compounds Sensing

Next One:Recent advances review in tea waste: High-value applications, processing technology, and value-added products