Fake news has been around for a long time, but the rise of social networking applications over recent years rapidly increased growth fake among individuals. The absence adequate procedures to combat aggravated problem. Consequently, negatively impacts various aspects life (economical, social, and political). Many individuals rely on Twitter as source, especially in Arab region. Mostly, are reading sharing regardless truth behind news. Identifying manually these open platforms would be...

Big Data are highly effective for systematically extracting and analyzing massive data. It can be useful to manage data proficiently over the conventional handling approaches. Recently, several schemes have been developed big datasets with features. At same time, feature selection (FS) methodologies intend eliminate repetitive, noisy, unwanted features that degrade classifier results. Since methods failed attain scalability under data, design of new classification models is essential. In...

Abstract The COVID-19 pandemic has spread worldwide for over 2 years now. raises a significant threat to global health due its transmissibility and high pathogenicity. current standard detection method COVID-19, namely, reverse transcription–polymerase chain reaction (RT–PCR), is slow inaccurate help fight the pandemic. RT–PCR takes hours days report single test result false-negative rate. As result, an infected person with negative may unknowingly continue virus. Thus, better methods are...

The COVID-19 pandemic has spread worldwide for over two years. It was considered a significant threat to global health due its transmissibility and high pathogenicity. standard test COVID-19, namely, reverse transcription polymerase chain reaction (RT–PCR), is somehow inaccurate might have false-negative rate (FNR). As result, an infected person with negative result may unknowingly continue the virus, especially if they are undiscovered strain. Thus, more accurate diagnostic technique...

Recently, business sectors have focused on offering a wide variety of services through utilizing different modern technologies such as super apps in order to fulfill customers’ needs and create satisfactory user experience. Accordingly, studying the experience has become one most popular trends research field due its essential role prosperity continuity. Thus, many researchers dedicated their efforts exploring analyzing across social media, blogs, websites, employing methods machine learning...

OBJECTIVE: Effectively analyzing trends of temporal data becomes a critical task when the amount is large. Motion techniques (animation) for scatterplots make it possible to represent lots in single view and easy identify highlight changes. These have recently become very popular an extent successful describing presentations. However, compared static methods visualization, scatterplot animations may be hard perceive motions are complex. METHODS: This paper studies effectiveness interactive...

Background The radiology report is the way of communication between radiologists and clinicians different specialties. Each part important significant in patient management plan. Therefore, knowledge interpretation behavior understanding final a variable crucial skill. Methods This cross-sectional survey study to explore attitude toward reports relation their professional clinical demographic. A total 107 physicians participated, including consultants, specialists, residents among Results...

Radiation dose tracking is becoming very important due to the popularity of computerized tomography (CT) scans. One challenges radiation that there are several variables affect from patient side, machine and procedures side. Although some software programs exists, they based on static analysis cause integration errors heterogeneity Hospital Information Systems (HISs) prevent users obtaining accurate answers their questions. In this paper, a visual analytic approach utilized track data...

<b><i>Introduction:</i></b> The novel coronavirus (COVID-19) originated in Wuhan, China, December 2019. To date, the virus has infected more than 110 million people worldwide and claimed 2.5 lives. With rapid increase number of cases, some countries face a shortage testing resources. Computational methods such as deep learning algorithms can help situation to expedite automate diagnosis COVID-19. <b><i>Methods:</i></b> In this research, we...

As Arabic is considered a low-resource and rich morphology language. result, one of the most challenging languages in Machine Translation (MT). While numerous translation research concentrated on Indo-European languages, much less was made Arabic. Therefore, quality (ArMT) continues to require improvement. Neural (NMT) now state-of-the-art MT approaches. In this paper, we propose model for two-way between English languages. The proposed based NMT use Long Short-Term Memory (LSTM)...

Visual Place Recognition (VPR) sits at the junction of artificial intelligence (AI) and our physical world, promising to modernize both Consumer Electronics (CE) Intelligent Transportation Systems (ITS). VPR authorizes self-driving cars recognize landmarks, straight difficult connections, realize traffic signs, making independent driving securer more effective. in ITS includes application computer vision (CV) models study understand visual information from environment, permitting transports...

Given the high caseload most radiology departments face on a daily basis, workflow streaming becomes necessity. In addition, optimization can significantly reduce cost and increase efficiency productivity. this paper, we present RadStream: web-based retrospective, exploratory, interactive data visualization tool that provides comprehensive overview of department's activities. We worked closely with staff to analyze department classify analytical tasks required by domain experts in order...

At present, there is a massive interest in document digitization, image searching, and natural language processing models, using different types of models. The first step applying any type like the to text converting, layout analysis, which paper's field. problem analysis comes Arabic language, where well-noticed gap for research this main limitations existed are common, dataset size, its return, gives not very accurate result. In paper, we two distinct datasets. We propose tuned model...