Nowadays, group decision making is an everyday occurrence in different scenarios, such as
marketing or social networks. These social networks have facilitated communication …

Breast cancer is a neoplastic disease which seriously threatens women's health. It is regard
as the most common cause of cancer death in women. Accurate detection and effective …

Feature selection aims to eliminate redundant or irrelevant variables from input data to
reduce computational cost, provide a better understanding of data and improve prediction …

To our knowledge, it has been widely studied in Screen-2D modality for the six basic
emotions proposed by Professor Paul Ekman, but there are only studies on their positive …

The degradation behaviour of magnesium and its alloys can be tuned by small organic
molecules. However, an automatic identification of effective organic additives within the vast …

Artisanal small-scale mines (ASMs) in the Amazon Rainforest are an important cause of
deforestation, forest degradation, biodiversity loss, sedimentation in rivers, and mercury …

Vegetation biomass is a globally important climate-relevant terrestrial carbon pool and also
drives local hydrological systems via evapotranspiration. Vegetation biomass of individual …

The leaves of Eucommia ulmoides contain various active compunds and nutritional
components, and have successively been included as raw materials in the Chinese …

Nowadays, in the topics related to prediction, in addition to increasing the accuracy of
existing algorithms, the reduction of computational time is a challenging issue that has …

Feature selection is a fundamental process to avoid overfitting and to reduce the size of
databases without significant loss of information that applies to hierarchical clustering …