Civil engineers always face the challenge of uncertainty in planning, building, and
maintaining infrastructure. These works rely heavily on a variety of surveying and monitoring …

Datacenter workloads demand high computational capabilities, flexibility, power efficiency,
and low cost. It is challenging to improve all of these factors simultaneously. To advance …

A recommender system (RS) aims to provide personalized recommendations to users for
specific items (eg, music, books). Popular techniques involve content-based (CB) models …

Abstract Machine learning algorithms (MLAs) are a powerful group of data-driven inference
tools that offer an automated means of recognizing patterns in high-dimensional data …

This paper focuses on the specific problem of Big Data classification of network intrusion
traffic. It discusses the system challenges presented by the Big Data problems associated …

In the last decades, the researchers of the human arm prosthesis are using different types of
machine learning algorithms. This review article firstly gives a brief explanation about type of …

The occupants' health, comfort, and productivity are important objectives for green building
design and operation. However, occupant behavior also has “passive” impact on the …

Learning from Demonstration (LfD) explores techniques for learning a task policy from
examples provided by a human teacher. The field of LfD has grown into an extensive body …

This study provides a comparative assessment on the different techniques of classifying
human activities performed while wearing inertial and magnetic sensor units on the chest …

This study examined the prediction of dropouts through data mining approaches in an online
program. The subject of the study was selected from a total of 189 students who registered to …