Publications
Publications
Filter by
Comprehensive Guideline for Microbiome Analysis Using R
The need for a comprehensive consolidated guide for R packages and tools that are used in microbiome data analysis is significant; thus, we aim to provide a detailed step-by-step dissection of the most used R packages and tools in the field of microbiome data integration and analysis. The guideline aims to be a user-friendly simplification and tutorial on five main packages, namely phyloseq, MegaR
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries
Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environments where medical imaging is needed. For example, in Sub-Saharan Africa, the rate of perinatal mortality is very high due to limited access to antenatal
A Novel Deep-learning based Approach for Automatic Diacritization of Arabic Poems using Sequence-to-Sequence Model
Over the last 10 years, Arabic language have attracted researchers in the area of Natural Language Processing (NLP). A lot of research papers suddenly emerged in which the main work was the processing of Arabic language and its dialects too. Arabic language processing has been given a special name ANLP (Arabic Natural Language Processing). A lot of ANLP work can be found in literature including
Customer Churn Prediction Using Apriori Algorithm and Ensemble Learning
Customer churn poses a formidable challenge within the Telecom industry, as it can result in significant revenue losses. In this research, we conducted an extensive study aimed at developing a viable customer churn prediction method. Our method utilizes the Apriori algorithm's strength to identify the key causes of customer churn. In the pursuit of this goal, we utilized multiple machine learning
Author Correction: Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries (Scientific Reports, (2023), 13, 1, (2728), 10.1038/s41598-023-29490-3)
The Funding section in the original version of this Article was incomplete. “This work received funding from the European Union’s 2020 research and innovation programme under Grant Agreement No. 825903 (euCanSHare project), as well as from the Spanish Ministry of Science, Innovation and Universities under grant agreement RTI2018-099898-B-I00. Additionally, the research leading to these results has
Blockchain in Healthcare for Achieving Patients' Privacy
Heath data are sensitive and valuable for individuals. The patients need to integrate and manage their medical data continuously. Personal Health Record (PHR) is introduced as a solution for managing their health information. It gives patients ownership over their medical data and provides physicians with realignment data. However, it does not achieve reliability, traceability, trust, nor security
Blockchain Application on Big Data Security
In recent years, advances in technology in several industries have resulted in massive data collections on the web. It raises worries about large data security and protection. The advent of Blockchain technology has caused a revolution in the security field for different applications. The distributed ledger is stored on each Blockchain node, which enhances security and data transparency. On the
Phylogeographic and population genetic structure of hound-like native dogs of the Mediterranean Basin
The dog was probably the first domesticated animal. Despite extensive archaeological and genetic investigations, the origin and the evolution of the extant dogs are still being debated. Dog breeds that have over time been selected for hunting share common ancestral traits. This study represents the first comprehensive attempt to survey at the genomic and mitochondrial level eight hound-like dogs
Trans-Compiler-Based Database Code Conversion Model for Native Platforms and Languages
Cross-platform mobile application development frameworks are now widely used among software companies and developers. Despite their time and cost-effectiveness, they still lack the performance and experience of natively developed applications. Many research tools have been proposed to solve this problem by converting a natively developed application from one platform to another. The Trans-Compiler
The Psychological Impact of University Brand Equity Using Firm Generated EWOM on Students’ Satisfaction: The Moderating Effect of Gender
This study uses firm-generated "electronic word of mouth (eWOM)" and students' satisfaction to analyse the effect of university brand equity. Four aspects of brand equity—"awareness, positioning, perceived quality, and trustworthiness"—are examined by the conceptual framework. It also examines how gender influences the relationship between student satisfaction and institution brand equity. At Nile