In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …

Pneumonia is one of the diseases that people may encounter in any period of their lives.
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …

During the last decades, in the area of machine learning and data mining, the development
of ensemble methods has gained a significant attention from the scientific community …

Advances over the past decade at the intersection of information fusion methods and Semi-
Supervised Learning (SSL) are investigated in this paper that grapple with challenges …

Pneumonia is a life-threatening respiratory lung disease. Children are more prone to be
affected by the disease and accurate manual detection is not easy. Generally, chest …

Soil nutrients are a vital part of soil fertility and other environmental factors. Soil testing is an
efficient tool used to evaluate the existing nutrient levels of soil and aid to compute the …

The extended utilization of digitized Whole Slide Images is transforming the workflow of
traditional clinical histopathology to the digital era. The ongoing transformation has …

Pneumonia is a major cause for the death of children. In order to overcome the subjectivity
and time consumption of the traditional detection of pneumonia from chest X-ray images; this …

Machine learning techniques such as artificial neural networks are seeing increased use in
the examination of communication network research questions. Central to many of these …

This paper introduced a new ensemble learning approach, based on evolutionary fuzzy
cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM …