Now showing items 1-10 of 84
Daily discharge estimation at ungauged river sites using remote sensing
(John Wiley & Sons, 2014-12-17)
A methodology is developed to estimate daily river discharge at an ungauged site using remote sensing data. Use is made of ERS-2 and ENVISAT satellite altimetry to provide a time series of river channel stage levels and ...
A support vector-based interval Type-2 fuzzy system.
Guest editors' preface to special issue on interval temporal logics
Two-stage computational bio-network discovery approach for metabolites: ovarian cancer as a case study.
Machine learning and other computational techniques have been applied in identifying biomarkers and constructing computational predictive models for early diagnosis of ovarian cancer. Most studies focus on large biopolymers ...
An Optimized Hybrid Dynamic Bayesian Network Approach using Differential Evolution Algorithm for the Diagnosis of Hepatocellular Carcinoma
(6th International Conference On Adaptive Science & Technology (ICAST 2014) Nigeria, 2014-10)
Computational Intelligence methods have been applied to the automatic discovery of predictive models for the diagnosis of Hepatocellular Carcinoma (a.k.a liver cancer). Evolutionary algorithms have lent themselves as ...
Logan's run: Lane optimisation using genetic algorithms based on nsga-ii
Whilst bus lanes are an important tool to ensure bus time reliability their presence can be detrimental to urban traffic. In this paper a Non-dominated Sorting Genetic Algorithm (NSGA-II) has been adopted to study the ...
Combining multiple clusterings for protein structure prediction.
(Inderscience Publishers, 2014)
Computational annotation and prediction of protein structure is very important in the post-genome era due to existence of many different proteins, most of which are yet to be verified. Mutual information based feature ...
History of cluster analysis