Nowadays, ones of the biggest challenges that educational institutions face is the explosive growth of educational data. and how to use these data to improve the quality of managerial decisions. Data mining, as an analytical ...

Classification is generally considered is one of the most popular topics in remote sensing , is considered to be the classification of images at a large size is labor-intensive and time-consuming task if performed manually. ...

The objective of the study was to identify the degree of employee awareness of the reality of excellence in performance at the Technical University of Palestine (Kadoorei). It also aimed to identify the differences in the ...

Superficial fungal infections caused by dermatophytes, are a public health problem in many parts of the world especially in developing countries. The aim of this study is to determine the prevalence and etiological agents ...

This paper describes the design of a desktop based intelligent tutoring system for teaching diabetes to the student to overcome the difficulties they face. Intelligent Tutoring Systems purposed to provide immediate and ...

The number of smartphone users globally will exceed 2 billion in 2016, according to new statistics from eMarketer—after almost getting there in 2015. Next year, there will be more than 1.91 billion smartphone users nationwide, ...

Reducing of pollutants with simultaneous increase of the gas turbine power, is always a fundamental aim of the Turbine technology. New developed structures and operating systems in the turbine production have been ...

The study aimed to identify Design Thinking and its use in NGOs in Gaza Strip. In order to achieve the objectives of the study and to test its hypotheses, the analytical descriptive method was used, relying on the questionnaire ...

Today’s everyone normal life can include a normal rate of playing computer games or video games; but what about an excessive or compulsive use of video games that impact on our life? Our kids, who usually spend a lot of ...

Deep learning has a vital role in computer vision to discover things. Deep learning techniques, especially convolutional neural networks, are being exploited in identifying and extracting relevant features of a specific ...