A Rahman, S Tasnim - arXiv preprint arXiv:1404.4088, 2014 - arxiv.org
Ensemble classifier refers to a group of individual classifiers that are cooperatively trained on data set in a supervised classification problem. In this paper we present a review of …
Groundwater potential maps are one of the most important tools for the management of groundwater storage resources. In this study, we proposed four ensemble soft computing …
Using multiple ensemble learning techniques for improving the predictive accuracy of landslide models is an active research area. In this study, we combined a radial basis …
A hybrid machine learning approach of Random Subspace (RSS) and Classification And Regression Trees (CART) is proposed to develop a model named RSSCART for spatial …
The industrial control systems are facing an increasing number of sophisticated cyber attacks that can have very dangerous consequences on humans and their environments. In …
Suspended sediment has significant effects on reservoir storage capacity, the operation of hydraulic structures and river morphology. Hence, modeling suspended sediment loads …
P Mesejo, D Pizarro, A Abergel… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
We have developed a technique to study how good computers can be at diagnosing gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …
Simulation approaches employed in sediment processes are important for watershed management and environmental impact assessment. Use of Stochastic models that based …
The high-dimensionality of microarray data with small number of samples has presented a difficult challenge for the microarray data classification task. The aim of gene selection is to …