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Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland
Ahmed Husham Al-Badri
, Nor Azman Ismail
, Khamael Al-Dulaimi
, Amjad Rehman
, Ibrahim Abunadi
,
Saeed Ali Bahaj
Management Information Systems
Universiti Teknologi Malaysia
Al-Nahrain University
Queensland University of Technology
Prince Sultan University (PSU)
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Scopus citations
Overview
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Computer Science
Neural Network Model
100%
Convolutional Neural Network
100%
Deep Learning Method
40%
Evaluation Metric
20%
Machine Learning
20%
Learning System
20%
Classification Accuracy
20%
Learning Approach
20%
Computer Vision
20%
True Positive Rate
20%
Inception V3
20%
Negative Impact
20%
Preprocessing Phase
20%
False Positive Rate
20%
Agricultural and Biological Sciences
Neural Network
100%
Extractor
100%
Face
25%
Precision Agriculture
25%
Herbicide
25%
Computer Vision
25%
Dairy Product
25%
Biochemistry, Genetics and Molecular Biology
Illumination
100%
Rumex obtusifolius
100%
Rumex
33%
Chemical Engineering
Neural Network
100%
Deep Learning Method
50%
Learning System
25%
Material Science
Herbicide
100%