the present work was designed to classify and differentiate between the dehalogenase enzyme to non–dehalogenases (other hydrolases) by taking the amino acid propensity at the core, surface and both the parts. the data sets were made on an individual basis by selecting the 3d structures of protein available in the pdb (protein data bank). the prediction of the core amino acid were predicted by i...

Abstract The random forest(RF) algorithm is a very efficient and excellent ensemble classification algorithm. In this paper, we improve the forest propose an called ‘Bayesian Weighted Random Forest’(B-RF), focus on problem that inaccurate decision tree caused by same voting weights in traditional model. main idea underlying proposed model to replace supermajority of forests into weighted voting...

forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. traditional methods such as field surveys are almost time-consuming and cost-intensive. improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. this research co...

In view of pollution prediction modeling, the study adopts homogenous (random forest, bagging, and additive regression) and heterogeneous (voting) ensemble classifiers to predict the atmospheric concentration of Sulphur dioxide. For model validation, results were compared against widely known single base classifiers such as support vector machine, multilayer perceptron, linear regression and re...

Skin cancer is an excessive lump of skin tissue that affects the skin, has irregular structure with cell differentiation at various levels in chromatin, nucleus and cytoplasm, expansive, infiltrative to damage surrounding tissue, metastasizes through blood vessels lymph vessels. Diagnosis by biopsy process considered less effective because it costs a lot can injure human as sample. For that, we...