Using natural language processing for programming language code classification with Multinomial Naive Bayes
Published in: Revue d'Intelligence Artificielle
Jun 01, 2023
Ayman Odeh
Munther Odeh
Hussein Odeh
Nada Odeh
Classifying Programming Languages scripts is very important task for several reasons such as: automated analysis, code maintenance, code search, quality assurance, and code understanding; this process is similar to processing natural languages, especially high-level languages like Python, Java, C#, C, C++, PHP, JavaScript, and others. Leveraging natural language processing concepts, this research explores the application of the Multinomial Naïve Bayes (MNB) algorithm to identify and classify pr...
ANN-based critical review of the effective moment of inertia of RC beams
Published in: Emergent Materials
Jun 01, 2023
This paper presents an artificial neural network (ANN)–based critical review of the ACI 318 Code formula for calculating the effective moment of inertia (Ie) of reinforced concrete (RC) beams. The value of Ie varies along the span length from a gross cross-sectional moment of inertia (Ig) for uncracked sections to a cracked cross-sectional moment of inertia (Icr) for cracked sections. Branson’s expression for Ie was adopted by the ACI 318 Code until 2019 when a new equation for Ie was introduce...
Utilizing Artificial Bee Colony Algorithm as Feature Selection Method in Arabic Text Classification
Published in: The International Arab Journal of Information Technology
May 10, 2023
The impact of the physical environment on the quality of distance education
Published in: Published by Emerald Publishing
Apr 10, 2023
Khawlah Al-Takhayneh
Abdelrahman Altakhaineh
Khaled Nser
Purpose This study aims to discuss the impact of the physical environment on the quality of distance education from the viewpoint of a number of teaching staff in Jordanian universities during the COVID-19 pandemic. Design/methodology/approach A total of 308 lecturers were selected using a snowball sampling method from different social media websites.The researcher used a descriptive analysis method by conducting social surveys. Findings The results reveal that there is a negative impact of the...
Uni-temporal Sentinel-2 imagery for wildfire detection using deep learning semantic segmentation models
Published in: Geomatics, Natural Hazards and Risk
Apr 05, 2023
Wildfires are common disasters that have long-lasting climate effects and serious ecological, social, and economic effects due to climate change. Since Earth observation (EO) satellites were launched into space, remote sensing (RS) has become a more efficient technique that can be used in agriculture, environmental protection, geological exploration, and wildfires. The increasing number of EO satellites orbiting the earth provides huge amounts of data, such as Sentinel-2 with its Multi Spectral...