Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

With the increasing utilization of the Internet and its provided services, an increase in cyber-
attacks to exploit the information occurs. A technology to store and maintain user's …

In this study, an efficient implementation of machine learning models to predict compressive
and tensile strengths of high-performance concrete (HPC) is presented. Four predictive …

Abstract Industry 4.0 (I4. 0) aims to link disruptive technologies to manufacturing systems,
combining smart operations and supply chain management (OSCM). Maturity models (MMs) …

An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of
epilepsy. The EEG signal contains information about the electrical activity of the brain …

Epilepsy is one of the world's most common neurological diseases. Early prediction of the
incoming seizures has a great influence on epileptic patients' life. In this paper, a novel …

The keys for the development of an effective classification algorithm are: 1) discovering
feature spaces with large margins between clusters and close proximity of the classmates …

Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …

Costly and time-consuming destructive methods are usually used to determine the
properties of alternative concrete mixtures. To reduce cost and time, statistical and neural …

This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …