A Computer-vision-based classification of road surface roughness grade using Machine Learning Techniques

2021 ◽  
Vol 23 (4) ◽  
pp. 75-81
Author(s):  
Young Jae Lee ◽  
Sung Il Jeon ◽  
Robin Eunju Kim
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Surface Roughness ◽  
Road Surface ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Road Surface Roughness

scholarly journals Flower Identification and Classification using Computer Vision and Machine Learning Techniques

2019 ◽  
Vol 8 (6) ◽  
pp. 277-285
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Classification Accuracy ◽  
Machine Learning Techniques ◽  
Accuracy Rate ◽  
Disk Flower ◽  
Meaningful Information ◽  
Learning Techniques ◽  
Hybrid Methodology

Computer vision techniques plays an important role in extracting meaningful information from images. A process of extraction, analysis, and understanding of information from images may accomplished by an automated process using computer vision and machine learning techniques. The paper proposed a hybrid methodology using MKL – SVM with multi-label classification that is experimented on a dataset contained 25000 flower images of 102 different spices. Basic and morphology features including color, size, texture, petal type, petal count, disk flower, corona, aestivation of flower and flower class are extracted to increase the classification accuracy. Various classifiers are applied on extracted feature set and their performance are discussed. The result of MKL – SVM with multi-label classification is very promising with 76.92% as an accuracy rate. In brief, this paper attempts to explore a novel morphology for feature extraction and the applicability of symbolic representation schemes along with different classification strategies for effective multi-label classification of flower spices

Varietal classification of maize seeds using computer vision and machine learning techniques

2021 ◽  
Author(s):  
Peng Xu ◽  
Ranbing Yang ◽  
Tiwei Zeng ◽  
Jian Zhang ◽  
Yunpeng Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Machine Learning Techniques ◽  
Maize Seeds ◽  
Learning Techniques ◽  
Varietal Classification

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.

Classification of sentence level sentiment analysis using cloud machine learning techniques

2017 ◽  
Vol 22 (S1) ◽  
pp. 1199-1209 ◽  
Author(s):  
R. Arulmurugan ◽  
K. R. Sabarmathi ◽  
H. Anandakumar
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Sentence Level
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