Clustering algorithms have successfully been applied as a digital image segmentation
technique in various fields and applications. However, those clustering algorithms are only …

To design, scale-up, and optimize the two-phase flow heat exchangers, accurate information
about the heat transfer coefficient (HTC) is required. Here, an extensive database including …

Image segmentation remains one of the major challenges in image analysis. Many
segmentation algorithms have been developed for various applications. Unsatisfactory …

Recent progress based on microscopic imaging has given significant contribution in
diagnosis of malaria infection based on blood images. Due to the requirement of prompt and …

This paper proposes a generic framework for probabilistic energy forecasting, and discusses
the application of the method to several tracks in the 2014 Global Energy Forecasting …

This paper introduces a modified version of the Hybrid Multilayer Perceptron (HMLP)
network to improve the performance of the conventional HMLP network. We adopted the …

OBJECTIVE: This paper proposes to develop an automated diagnostic system for cervical
pre-cancerous. METHODS AND DATA SAMPLES: The proposed automated diagnostic …

The accuracy of electricity consumption forecasts is of paramount importance in energy
planning, it provides strong support for the effective energy demand management. In this …

Malaria is a serious worldwide health issue which causes globally an expected 3.4 billion
individuals in danger of malaria in 2013. Malaria is an entirely preventable and treatable …

Predicting the results of soccer competitions and the contributions of match attributes, in
particular, has gained popularity in recent years. Big data processing obtained from different …