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Study on Machine Learning Techniques for Botnet Detection
(Ieee-inst Electrical Electronics Engineers Inc, 2020-05-01)
This paper presents a study on the application of machine learning techniques for botnet detection, compromised computer networks controlled by an attacker in order to perform malicious activities, such as distributed ...
Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers
Agriculture is an essential part of human life. The crop productivity is based on the soil and environmental factors. Different crops are cultivated in different areas. Nowadays, the crop productivity level is affected by ...
A recursive approach to space resection using straight lines
(1996-01-01)
An approach using straight lines as features to solve the photogrammetric space resection problem is presented. An explicit mathematical model relating straight lines, in both object and image space, is used. Based on this ...
A recursive approach to space resection using straight lines
(1996-01-01)
An approach using straight lines as features to solve the photogrammetric space resection problem is presented. An explicit mathematical model relating straight lines, in both object and image space, is used. Based on this ...
HDDSS: An Enhanced Heart Disease Decision Support System using RFE-ABGNB Algorithm
Heart disease is the leading cause of mortality globally. Heart disease refers to a range of disorders that affect the heart and blood vessels. The risks of developing heart disease become minimized if heart disease is ...
A recursive approach to space resection using straight lines
(Amer Soc PhotogrammetryBethesda, 1996)
Analysis and classification of lung and muscular tissues in ultrasound images using 2D wavelet transform and machine learning
(Cartagena de Indias, 2020-11-03)
Ultrasound has been considered a safe and accurate alternative to radiography and computerized tomography to diagnose lung diseases such as pneumonia. However, speckle noise, artifacts or certain conditions can difficult ...
Feature selection on wide multiclass problems using OVA-RFE
(Sociedad Iberoamericana de Inteligencia Artificial, 2009-12)
Feature selection is a pre–processing technique commonly used with high–dimensional datasets. It is aimed at reducing the dimensionality of the input space, discarding useless or redundant variables, in order to increase ...