The Pulmonary nodule indicates the presence of lung cancer. deep convolutional neural networks (DCNNs) have been widely used to classify pulmonary as benign or malignant. However, an individual learner usually performs unsatisfactorily due limited response space, incorrect selection hypothesis falling into local minimums. To investigate these issues, we propose ensemble learners fusion techniqu...

In this paper we introduce two unsupervised techniques for visualization purposes based on the use of ensemble methods. The unsupervised techniques which are often quite sensitive to the presence of outliers are combined with the ensemble approaches in order to overcome the influence of outliers. The first technique is based on the use of Principal Component Analysis and the second one is known...

With the advances in the field of medical informatics, automated clinical decision support systems are becoming the de facto standard in personalized diagnosis. In order to establish high accuracy and confidence in personalized diagnosis, massive amounts of distributed, heterogeneous, correlated and highdimensional patient data from different sources such as wearable sensors, mobile application...

Background: Internet social media platforms have become quite popular, enabling a wide range of online users to stay in touch with their friends and relatives wherever they are at any time. This has led significant increase virtual crime from the inception these present day. Users harassed when confidential information about them is stolen, or another user posts insulting offensive comments the...

This extended abstract provides a brief overview of my PhD research on multi-objectivization and ensemble techniques in reinforcement learning.

Heart disease is a significant global health issue, contributing to high morbidity and mortality rates. Early accurate heart prediction crucial for effectively preventing managing the condition. However, this remains challenging task achieve. This study proposes machine learning model that leverages various preprocessing steps, hyperparameter optimization techniques, ensemble algorithms predict...

Peer-to-peer (P2P) botnet is one of the greatest threats to digital data. It has become a common tool for performing lot malicious activities such as DDoS attacks, phishing spreading spam, identity theft, ransomware, extortion attack, and many other fraudulent activities. P2P botnets are very resilient stealthy keep mutating evade security mechanisms. Therefore, it necessary identify detect flo...