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...

Credit card fraud is a significant problem, with millions of dollars lost each year. Detecting fraudulent transactions challenging task due to the large volume data and constantly evolving tactics fraudsters. Likewise any detection it important select relevant features that help distinguishing between non-fraudulent transactions. It also crucial design model effectively captures relationships involved entities such as merchants customers. In this work, prior stage feature engineering carried...

BackgroundThe next generation sequencing technologies substantially increased the throughput of microbial genome sequencing. To functionally annotate newly sequenced genomes, a variety experimental and computational methods are used. Integration information from different sources is powerful approach to enhance such annotation. Functional analysis necessary for downstream experiments, crucially depends on this annotation but it hampered by current lack suitable integration exploration...

Recognition of different genomic signals and regions (GSRs) in DNA is crucial for understanding genome organization, gene regulation, function, which turn generate better annotations. Although many methods have been developed to recognize GSRs, their pure computational identification remains challenging. Moreover, various GSRs usually require a specialized set features developing robust recognition models. Recently, deep-learning (DL) shown more accurate prediction models than 'shallow'...

Genome annotation is one way of summarizing the existing knowledge about genomic characteristics an organism. There has been increased interest during last several decades in computer-based structural and functional genome annotation. Many methods for this purpose have developed eukaryotes prokaryotes. Our study focuses on comparison annotations prokaryotic genomes. To best our there no fully automated system detailed generated by different (AMs). The presence many AMs development new ones...

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...

Polyadenylation is a critical stage of RNA processing during the formation mature mRNA, and present in most known eukaryote protein-coding transcripts many long non-coding RNAs. The correct identification poly(A) signals (PAS) not only helps to elucidate 3'-end genomic boundaries transcribed DNA region gene regulatory mechanisms but also gives insight into multiple transcript isoforms resulting from alternative PAS. Although progress has been made in-silico prediction signals, recognition...

Sentiment analysis became a very motivating area in both academic and industrial fields due to the exponential increase of online published reviews recommendations. To solve problem analysing classifying those recommendations, several techniques have been proposed. Lately, deep neural networks showed promising outcomes sentiment analysis. The growing number Arab users on Internet along with increasing amount Arabic comments encouraged researchers apply learning analyse them. This article is...

Motivation: Recognition of poly(A) signals in mRNA is relatively straightforward due to the presence easily recognizable polyadenylic acid tail. However, task identifying motifs primary genomic DNA sequence that correspond a far more challenging problem. important for better gene annotation and understanding regulation mechanisms. In this work, we present one such motif prediction method based on properties human surrounding motif. These include thermodynamic, physico-chemical statistical...

This paper provides a detailed description of new Twitter-based benchmark dataset for Arabic Sentiment Analysis (ASAD), which is launched in competition3, sponsored by KAUST awarding 10000 USD, 5000 USD and 2000 to the first, second third place winners, respectively. Compared other publicly released datasets, ASAD large, high-quality annotated dataset(including 95K tweets), with three-class sentiment labels (positive, negative neutral). We presents details data collection process annotation...

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...

Abstract Contact: vladimir.bajic@kaust.edu.sa Supplementary information: data are available at Bioinformatics online.

<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...

This paper provides an overview of the Arabic Sentiment Analysis Challenge organized by King Abdullah University Science and Technology (KAUST). The task in this challenge is to develop machine learning models classify a given tweet into one three categories Positive, Negative, or Neutral. From our recently released ASAD dataset, we provide competitors with 55K tweets for training, 20K validation, based on which performance participating teams are ranked leaderboard,...

As fraud and cybercrime become more frequent sophisticated, preventing users from being exposed to risk is a significant challenge for the scientific community. Current banking systems use One Time Password (OTP) sent mobile phone prevent user impersonation attacks. However, it could be compromised by man-in-the-middle It also presents usability unavailability problems if SMS service inaccessible, especially when traveling or in case of damaged stolen phone. Using Machine Learning (ML)...