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A cascaded design of best features selection for fruit diseases recognition
Faiz Ali Shah
, Muhammad Attique Khan
, Muhammad Sharif
,
Usman Tariq
, Aimal Khan
, Seifedine Kadry
, Orawit Thinnukool
Management Information Systems
COMSATS University Islamabad
HITEC University
National University of Sciences and Technology Pakistan
Noroff University College
Chiang Mai University
Research output
:
Contribution to journal
›
Article
›
peer-review
19
Scopus citations
Overview
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Computer Science
Feature Extraction
100%
Feature Selection
100%
Ant Colony Optimization
100%
Deep Learning Method
50%
Deep Learning Model
50%
Image Processing
50%
Component Analysis
50%
Data Augmentation
50%
Average Accuracy
50%
Deep Learning Technique
50%
Deep Feature
50%
Engineering
Deep Learning Method
100%
Feature Extraction
100%
Ant Colony Optimization
66%
Early Stage
33%
Learning Technique
33%
Image Processing
33%
Component Analysis
33%
Immunology and Microbiology
Face
100%
Feature Extraction
100%
Chemical Engineering
Deep Learning Method
100%
Biochemistry, Genetics and Molecular Biology
Feature Extraction
100%