Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
Artificial intelligence and machine learning in electronic fetal monitoring
Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart
activity. The signals produced by the fetal heart carry valuable information about fetal health …
activity. The signals produced by the fetal heart carry valuable information about fetal health …
A historical account of types of fuzzy sets and their relationships
A Historical Account of Types of Fuzzy Sets and Their Relationships Page 1 IEEE
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 1, FEBRUARY 2016 179 A Historical …
Overlap functions
In this paper we address a key issue in scenario classification, where classifying concepts
show a natural overlapping. In fact, overlapping needs to be evaluated whenever classes …
show a natural overlapping. In fact, overlapping needs to be evaluated whenever classes …
A kernel fuzzy c-means clustering-based fuzzy support vector machine algorithm for classification problems with outliers or noises
The support vector machine (SVM) has provided higher performance than traditional
learning machines and has been widely applied in real-world classification problems and …
learning machines and has been widely applied in real-world classification problems and …
New results on overlap and grouping functions
Overlap functions and grouping functions are special kinds of aggregation operators that
have been recently proposed for applications in classification problems, like, eg, imaging …
have been recently proposed for applications in classification problems, like, eg, imaging …
General overlap functions
As a generalization of bivariate overlap functions, which measure the degree of overlapping
(intersection for non-crisp sets) of n different classes, in this paper we introduce the concept …
(intersection for non-crisp sets) of n different classes, in this paper we introduce the concept …
Automated identification of normal and diabetes heart rate signals using nonlinear measures
Diabetes mellitus (DM) affects considerable number of people in the world and the number
of cases is increasing every year. Due to a strong link to the genetic basis of the disease, it is …
of cases is increasing every year. Due to a strong link to the genetic basis of the disease, it is …
Detecting climate signals using explainable AI with single‐forcing large ensembles
It remains difficult to disentangle the relative influences of aerosols and greenhouse gases
on regional surface temperature trends in the context of global climate change. To address …
on regional surface temperature trends in the context of global climate change. To address …
Depression diagnosis support system based on EEG signal entropies
O Faust, PCA Ang, SD Puthankattil… - Journal of mechanics in …, 2014 - World Scientific
Electroencephalography (EEG) is a measure which represents the functional activity of the
brain. We show that a detailed analysis of EEG measurements provides highly discriminant …
brain. We show that a detailed analysis of EEG measurements provides highly discriminant …