scholarly journals Object-Based Image Classification of Summer Crops with Machine Learning Methods

2014 ◽  
Vol 6 (6) ◽  
pp. 5019-5041 ◽  
Author(s):  
José Peña ◽  
Pedro Gutiérrez ◽  
César Hervás-Martínez ◽  
Johan Six ◽  
Richard Plant ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Classification ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Object Based

scholarly journals Studi Komparasi Metode Machine Learning untuk Klasifikasi Citra Huruf Vokal Hiragana

2021 ◽  
Vol 5 (3) ◽  
pp. 905
Author(s):  
Muhammad Afrizal Amrustian ◽  
Vika Febri Muliati ◽  
Elsa Elvira Awal
Keyword(s):  
Machine Learning ◽  
Comparative Study ◽  
Image Classification ◽  
Nearest Neighbor ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
The Comparative Study

Japanese is one of the most difficult languages to understand and read. Japanese writing that does not use the alphabet is the reason for the difficulty of the Japanese language to read. There are three types of Japanese, namely kanji, katakana, and hiragana. Hiragana letters are the most commonly used type of writing. In addition, hiragana has a cursive nature, so each person's writing will be different. Machine learning methods can be used to read Japanese letters by recognizing the image of the letters. The Japanese letters that are used in this study are hiragana vowels. This study focuses on conducting a comparative study of machine learning methods for the image classification of Japanese letters. The machine learning methods that were successfully compared are Naïve Bayes, Support Vector Machine, Decision Tree, Random Forest, and K-Nearest Neighbor. The results of the comparative study show that the K-Nearest Neighbor method is the best method for image classification of hiragana vowels. K-Nearest Neighbor gets an accuracy of 89.4% with a low error rate.

scholarly journals Comparison of machine learning methods for the classification of cardiovascular disease

2021 ◽  
pp. 100606
Author(s):  
Rachael Hagan ◽  
Charles J. Gillan ◽  
Fiona Mallett
Keyword(s):  
Machine Learning ◽  
Cardiovascular Disease ◽  
Learning Methods ◽  
Machine Learning Methods

Machine Learning methods for micro-FTIR imaging classification of human skin tumors

2021 ◽  
Author(s):  
Matheus del Valle ◽  
Kleber Stancari ◽  
Pedro Arthur Augusto de Castro ◽  
Moises Oliveira dos Santos ◽  
Denise Maria Zezell
Keyword(s):  
Machine Learning ◽  
Human Skin ◽  
Skin Tumors ◽  
Learning Methods ◽  
Ftir Imaging ◽  
Machine Learning Methods ◽  
Imaging Classification

scholarly journals Classification of HIV-1 Protease Inhibitors by Machine Learning Methods

ACS Omega ◽  
2018 ◽  
Vol 3 (11) ◽  
pp. 15837-15849 ◽  
Author(s):  
Yang Li ◽  
Yujia Tian ◽  
Zijian Qin ◽  
Aixia Yan
Keyword(s):  
Machine Learning ◽  
Protease Inhibitors ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Hiv 1

scholarly journals Seeing It All: Evaluating Supervised Machine Learning Methods for the Classification of Diverse Otariid Behaviours

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0166898 ◽  
Author(s):  
Monique A. Ladds ◽  
Adam P. Thompson ◽  
David J. Slip ◽  
David P. Hocking ◽  
Robert G. Harcourt
Keyword(s):  
Machine Learning ◽  
Supervised Machine Learning ◽  
Learning Methods ◽  
Machine Learning Methods

scholarly journals CLASSIFICATION OF MUNICIPAL ENERGY CONSUMPTION FACILITIES WITH THE USE OF MACHINE LEARNING METHODS

2020 ◽  
Vol 2 (50) ◽  
pp. 43-51
Author(s):  
A. Perekrest ◽  
◽  
V. Ogar ◽  
O. Vovna ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Learning Methods ◽  
Machine Learning Methods

Classification of Hyperspectral Images Using Machine Learning Methods

2013 ◽  
pp. 555-569
Author(s):  
Bolanle Tolulope Abe ◽  
Oludayo O. Olugbara ◽  
Tshilidzi Marwala
Keyword(s):  
Machine Learning ◽  
Hyperspectral Images ◽  
Learning Methods ◽  
Machine Learning Methods

Classification of beta‐site amyloid precursor protein cleaving enzyme 1 inhibitors by using machine learning methods

2021 ◽  
Author(s):  
Ravi Singh ◽  
Ankit Ganeshpurkar ◽  
Powsali Ghosh ◽  
Ankit Vyankatrao Pokle ◽  
Devendra Kumar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Amyloid Precursor Protein ◽  
Precursor Protein ◽  
Learning Methods ◽  
Machine Learning Methods
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