In this contribution, a simple yet effective design for Schlieren photography system is described and implemented. The proposed system is used in the visualization of both heat and mass transfer phenomena. Refractive index gradient is created by a lighter to study mass transfer, then the lighter is ignited to create temperature gradient. Results show the ability of the proposed system in capturing

Green buildings are becoming an essential part of sustainable development. There have been several research trends for green buildings since 1995. The present study presents a roadmap for green/sustainable research trends and proposes a new green building rating system for existing buildings. A questionnaire was established and answered by experts, where answers were analyzed using the decision

In this research, irradiation by gamma rays was employed as an eco-friendly route for the construction of bimetallic silver-gold nanoparticles (Ag-Au NPs), while Gum Arabic polymer was used as a capping agent. Ag-Au NPs were characterized through UV–Vis., XRD, EDX, HR-TEM, FTIR, SEM/mapping and EDX analysis. Antibiofilm and antimicrobial activities were examined against some bacteria and Candida

This paper presents a classification method using Inertial Measurement Unit (IMU) in order to classify six human upper limb activities. The study was also carried out to investigate whether theses activities are being performed normally or abnormally using two different neural networks: Artificial neural network (ANN) and convolutional neural network (CNN). Human activities that were included in

Genetic algorithms (GAs) are intended to look for the optimum solution by eliminating the gene strings with the worst fitness. Hence, this paper proposes an optimized edge detection technique based on a genetic algorithm. A training dataset that consists of simple images and their corresponding optimal edge features is employed to obtain the optimum filter coefficients along with the optimum

Epileptic seizures occur as a result of functional brain dysfunction and can affect the health of the patient. Prediction of epileptic seizures before the onset is beneficial for the prevention of seizures through medication. Electroencephalograms (EEG) signals are used to predict epileptic seizures using machine learning techniques and feature extractions. Nevertheless, the pre-processing of EEG

The Information and Communication Technologies (ICT) have been developed in the last decades and since its functionality and uses, have increased tremendously, in many sectors and they become fundamental in our life today. It is a main part of almost every activity, product, and service in our lives. Therefore, the use of ICT in agribusiness is not an exception. On the other hand, Agribusinesses

Data analytics have become a trending research topic since the last decade given its importance in the organizational decision-making process. Several organizations are trying to employ data in improving their decision making and strategies. Although data scientists and business intelligence consultants are hired to make beneficial use of these data, their activities are not enough for making the

In the era of digital transformation, a mass disruption in the global industries have been detected. Big data, the Internet of Things (IoT) and Artificial Intelligence (AI) are just examples of technologies that are holding such digital disruptive power. On the other hand, retailing is a high-intensity competition and disruptive industry driving the global economy and the second largest globally

With the unprecedented diffusion rate of digital technologies in the past decade, digital has become a transformative driver for successful businesses, whether dealing with products, services, or processes. Many companies are experimenting with digital technologies, trying to make use of their potential and evaluate their impact on their businesses in terms of value creation and competitive