Paraquat (PQ) poisoning seriously harms the health of humanity. An effective diagnostic
method for paraquat poisoned patients is a crucial concern. Nevertheless, it's difficult to …

The human brain can be inherently modeled as a brain network, where nodes denote
billions of neurons and edges denote massive connections between neurons. Analysis on …

This paper gives an overview of developments in the field of robust optimization in machine
learning (ML) in general and Support Vector Machine (SVM)/Support Vector Regression …

Many collaboratively building resources, such as Wikipedia, Weibo and Quora, exist in the
form of semi-structured data. The semi-structured data has been widely used in areas such …

Brain networks provide essential insights into the diagnosis of functional brain disorders,
such as Alzheimer's disease (AD). Many machine learning methods have been applied to …

Extreme learning machine, as a generalized single-hidden-layer feedforward network, has
achieved much attention for its extremely fast learning speed and good generalization …

Uncertainty and distributed nature inherently exist in big data environment. Distributed fuzzy
neural network (D-FNN) that not only employs fuzzy logics to alleviate the uncertainty …

Since foreign fibers in cotton seriously affect the quality of the final cotton textile products,
machine-vision-based detection systems for foreign fibers in cotton are receiving extensive …

Data classification for distributed and heterogeneous XML data sources is always an open
challenge. A considerable number of algorithms for classification of XML documents have …

This research proposes an Elliot-based Extreme Learning Machine approach for industrial
thermal processes regression. The main contribution of this paper is to propose an Extreme …