Classification algorithms and their preprocessing operations usually performs on feature
selection on homogeneous or heterogeneous attributes, binary or multi-class labels …

The Internet of Things (IoT) is commonly employed to detect different kinds of diseases in the
health sector. Presently, disease detection is performed using MRI images, X‐rays, CT …

Rheumatoid Arthritis (RA) is a chronic autoimmune disease whose symptoms are hard to
determine due to the overlapping indications of the condition with other illnesses such as …

The main purpose of this evaluation is to analyze the economic viability of the
implementation of circular models in agriculture in Tarma, Peru. This involves examining the …

Redundant and irrelevant features in datasets decrease classification accuracy, and
increase computational time of classification algorithms, overfitting problem and complexity …

From a systematic review on the use of FCMs and their extensions, it is identified that there
are shortcomings in the works reported in the consulted bibliography regarding the …

Cognitive Maps are a vital tool that can be used for knowledge representation and
reasoning. Fuzzy Cognitive Maps (FCMs) are popular soft computing techniques used to …

The research addresses a central problem in the modeling and analysis of human
perceptions: the need for tools that capture more richly and accurately the complexity …

Increasing health defects and diseases make human life very dangerous and serious. In this
way, rheumatoid arthritis (RA) is a chronic disease affecting the immune system and …

The growth of the prediction capabilities of deep neural networks constitutes one of the
elements that has allowed the generalization of these models to dissimilar problems. But in …