One of the leading causes of cancer death for both men and women is the lung cancer. The
best way to improve the patient's chances for survival is the early detection of potentially …

In the digital era, cloud computing plays a significant role in scalable resource sharing to
carry out seamless computing and information sharing. Securing the data, resources …

Network Intrusion Detection System (NIDS) detects normal and malicious behavior by
analyzing network traffic, this analysis has the potential to detect novel attacks especially in …

Anomaly detection is a term refer to any abnormal behaviors, comprise security breaches of
network. Deep Learning (DL) has proven its outperformance compared to machine learning …

Feature selection is the process of identifying good performing combinations of significant
features among many possibilities. This preprocess improves the classification accuracy and …

The feature selection process can be considered a problem of global combinatorial
optimization in machine learning, which reduces the irrelevant, noisy, and non-contributing …

One of the key task in data mining is the selection of relevant features from datasets with
high dimensionality. This is expected to reduce the time and space complexity, and …

In recent past, the growth rate of job hunters and job opportunities are drastically increasing
due to the growth of education and advancements in technology. Finding the right job for the …

Lung cancer really has no earlier symptoms other than detecting some minute features
pulmonary modules of a CT input image of a patient. The World Health Organization (WHO) …

The Multi-verse optimizer (MVO) is a recently proposed algorithm, inspired by the multi-
verse theories, to solve optimization problems. Despite the efficiency of MVO, and its ability …