In this study, the hybridization process of carbon fabrics, which used in many areas today, and flax fabrics were carried out using two production methods, hand lay-up vacuum bagging. The effects both method on mechanical performance formed flax/carbon epoxy hybrid composites investigated. Epoxy was as a matrix element production. Tensile hardness tests performed to evaluate properties analyzed...

Over the past few decades, increasing demand for light weight material have grown in various applications including aerospace, and other structural with added focus on green engineering sustainability. Particularly aerospace industries, utilisation of carbon fiber composites results increased rate pollution due to its inability be repaired recycled. Therefore, it is envisaged that migrating bio...

Bagging frequently improves the predictive performance of a model. An online version has recently been introduced, which attempts to gain the benefits of an online algorithm while approximating regular bagging. However, regular online bagging is an approximation to its batch counterpart and so is not lossless with respect to the bagging operation. By operating under the Bayesian paradigm, we in...

We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (ASHT) Bagging. ASHT Bagging uses trees of different sizes, and ADWIN Bagging uses ADWIN as a change detector to decide when to discard underperforming ensemble members. We improve ADWIN Bagging using Hoeffding Adaptive...

Hybridization is an important application in obtaining the multi-functionality to combine best properties of each reinforcing element makes up composite. In this study, hybrid composites and uniform were fabricated using carbon, aramid, intraply carbon/aramid weaves with two different production methods (vacuum-assisted resin transfer molding process vacuum bagging process). The mechanical prod...

The development of the smart grid has resulted in new requirements for fault prediction of power transformers. This paper presents an entropy-based Bagging (E-Bagging) method for prediction of characteristic parameters related to power transformers faults. A parameter of comprehensive information entropy of sample data is brought forward to improve the resampling process of the E-Bagging method...

Various modifications of bagging for class imbalanced data are discussed. An experimental comparison of known bagging modifications shows that integrating with undersampling is more powerful than oversampling. We introduce Local-and-Over-All Balanced bagging where probability of sampling an example is tuned according to the class distribution inside its neighbourhood. Experiments indicate that ...

To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are used as combining rules in bagging and boosting. However, other combining rules such as mean, product and average are possible. In this paper, we study bagging and boosting in Linear Discriminant Analysis (LDA) and t...