The Mobile networks deploy and offers a multiaspective approach for various resource allocation paradigms and the service based options in the computing segments with its implication in the Industrial Internet of Things ...

Stirling's method is considered as an alternative to Newton's method when the latter fails to converge to a solution of a nonlinear equation. Both methods converge quadratically under similar convergence criteria and require ...

Learning Analytics (LA) have a significant impact in learning and teaching processes. These can be improved using the available data retrieved from the students' activity inside the virtual classrooms of a LMS. This process ...

The images capture in a bad environment usually loses its fidelity and contrast. As the light rays travel towards its destination they get scattered several times due to the tiny particles of fog and pollutants in the ...

Knowing what the user does inside your web and how he does it is crucial nowadays to understand the strengths and inconveniences of your web's design and architectural structure as well as about the usability of the site. ...

Internet of Things (IoT) is the efficient wireless communication in the modern era, energy efficiency is the primary issue that focuses mainly on the Cognitive network. Most of the CR networks are focusing on battery ...

Industry 4.0 is the current industrial revolution and robotics is an important factor for carrying out high dexterity manipulations. However, mechatronic systems are far from human capabilities and sophisticated robotic ...

Presently, energy is considered a significant resource that grows scarce with high demand and population in the global market. Therefore, a survey suggested that renewable energy sources are required to avoid scarcity. ...

Usability measures the quality of use when a user interacts with a website. There are many guidelines and recommendations to improve the user experience on websites. The purpose of this study is to analyze the degree of ...

This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network ...