A data-driven binary-classification framework for oil fingerprinting analysis
A marine oil spill is one of the most challenging environmental issues, resulting in severe
long-term impacts on ecosystems and human society. Oil dispersants are widely applied as …
long-term impacts on ecosystems and human society. Oil dispersants are widely applied as …
Feasibility study on data mining techniques in diagnosis of breast cancer
K Rajendran, M Jayabalan… - … Journal of Machine …, 2019 - researchonline.ljmu.ac.uk
© 2019 International Association of Computer Science and Information Technology.
Survivability of patients suffering from breast cancer varies according to the stages. The …
Survivability of patients suffering from breast cancer varies according to the stages. The …
Adquisición de conocimiento sobre la letalidad de la COVID-19 mediante técnicas de inteligencia artificial
MMG Lorenzo, Y Rodríguez… - Anales de la …, 2020 - revistaccuba.sld.cu
Introducción. La difusión de la COVID-19 en el mundo ha provocado una avalancha de
investigaciones para enfrentarla y atenuar sus efectos, a lo cual han contribuido los …
investigaciones para enfrentarla y atenuar sus efectos, a lo cual han contribuido los …
Weka, áreas de aplicación y sus algoritmos: una revisión sistemática de literatura
MAE Mina - Revista Científica Ecociencia, 2018 - revistas.ecotec.edu.ec
Actualmente se generan grandes cantidades de datos almacenados en dispositivos
digitales que cada día, debido a los avances tecnológicos, crecen también en su capacidad …
digitales que cada día, debido a los avances tecnológicos, crecen también en su capacidad …
Classification and determination of pH value: a decision tree learning approach
FB Chioson, FET Munsayac, RBG Luta… - 2018 IEEE 10th …, 2018 - ieeexplore.ieee.org
In chemistry, the potential of hydrogen (pH) level is the measure of the acidity or basicity
among substances. Generally, this level is determined through the use of a type of indicator …
among substances. Generally, this level is determined through the use of a type of indicator …
Mitosis detection in breast cancer histopathology images using statistical, color and shape-based features
This paper presents an automated technique for mitosis detection in breast cancer
histopathology images. Mitosis detection is the first step towards mitotic cell counting which …
histopathology images. Mitosis detection is the first step towards mitotic cell counting which …
Machine learning: a dark side of cancer computing
Cancer analysis and prediction is the utmost important research field for well-being of
humankind. The Cancer data are analyzed and predicted using machine learning …
humankind. The Cancer data are analyzed and predicted using machine learning …
A Survey of Machine Learning Techniques for Cancer Disease Prediction and Diagnosis.
MK Kumar - Indian Journal of Public Health Research & …, 2019 - search.ebscohost.com
Identification of patterns plays a vital role in Disease Diagnosis for detecting the diseases
accurately. Machine learning is a subfield of artificial intelligence (AI). This ML techniques …
accurately. Machine learning is a subfield of artificial intelligence (AI). This ML techniques …
Learning decision rules from incomplete biochemical risk factor indicators to predict cardiovascular risk level for adult patients
This study aims to learn decision rules from input dataset using decision tree learning as a
supervised classification method to predict cardiovascular risk level for adult patients (above …
supervised classification method to predict cardiovascular risk level for adult patients (above …
Applications of Computational Intelligence in the Studies of Covid-19
Health is an extremely important aspect in the United Nations Sustainable Development
Goals because there is not possible progress for humankind without it. The Covid19 …
Goals because there is not possible progress for humankind without it. The Covid19 …