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253 articles for “R. W. Ibrahim”
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Research ArticleOpen accessIn the author namesPleural Effusion Detection Using Optimized Pretrained ModelsRehab Fathi Ibrahim, Nashwa Mohamed Elsayed et al.Pleural effusion is an abnormal accumulation of fluid in the pleural cavity, posing a significant thoracic issue with various causes. Even with a variety of diagnostic techniques, accurate diagnosis remains challenging. Delays in diagnosis and treatment heighten the risks of the disease. In this paper, we introduce a novel approach by leveraging the Grey Wolf Optimizer (GWO) to systematically optimize … …Journal of Computer Science, Vol. 21, Issue 8 · 17 Oct 2025 · 2,317 accessesView PDFCite
Research ArticleOpen accessIn the author namesThe interplay between Cadmium and Zinc Induced Developmental Perturbations and Apoptosis in Daphnia MagnaNaima Hamid, Siti Nur Airina Binti Ibrahim et al.Assessing combined toxicity provides a realistic and comprehensive approach to determining toxicological effects in aquatic species under environmentally relevant conditions. This study was conducted to understand the effects of single and combined metal mixtures on freshwater flea and Daphnia magna. Environmentally Relevant Concentrations (ERCs) of Cadmium (Cd) and Zinc (Zn) at a low dose (10μg/L) and high dose (30 μg/L) … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 11 Jun 2025 · 6,021 accessesView PDFCite
Research ArticleOpen accessIn the author namesImplementation of Single Candidate Loss Optimization Algorithm for Loss Optimization of Bhojpuri-English Machine Translation ModelRituraj Dixit, Sarabjeet Singh Bedi, Ibrahim Aljubayri, Mohammad Zubair KhanMachine translation of low-resource Indian languages is necessary as most of the regions still know and speak their specific dialects and are still not comfortable understanding the English language. Indian languages are morphologically rich, due to which there are two big challenges, Ambiguity and Domain adaption, which are faced by researchers during the translation. Lack of data also increases the … …Journal of Computer Science, Vol. 21, Issue 5 · 17 Apr 2025 · 5,155 accessesView PDFCite
Research ArticleOpen accessIn the author namesNonnegative Matrix Factorization Features Extraction and Ensemble Methods Classifier for ECG Image ClassificationHussain K. Ibrahim, Shawkat K. Guirguis, Hend A. ElsayedThis study is a novel proposed classification system for ECG image classification. This proposed system uses nonnegative matrix factorization for feature extraction and ensemble methods for classification, and the results are compared with the features extracted by the principal component analysis, kernel principal component analysis, and independent component analysis. Although algorithms find image classification challenging, humans typically find it easy. … …Journal of Computer Science, Vol. 21, Issue 4 · 15 Mar 2025 · 4,874 accessesView PDFCite
InvestigationOpen accessIn the author namesInfluence of the M-Feed Additive on Metabolism and Productivity of Laying QuailsDjunaidi Sharamazanovich Gayirbegov, Ibrahim Farqad Shawqi Ibrahim, Alexander Ivanovich Andreev et al.The paper shows the impact of the M-feed new generation feed additive in the quail diets on their growth energy, the quality of the egg and the biochemistry of the laying quails. It has been established that of the three feed additive dosages under study the daily dosage of 200 mg/100 g of the combined feed provides the most favorable … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 4 May 2018 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the author namesEvaluation of the Effects of the Addition of Salt, Type of Additive and the Shelf Life, on Chemical Composition of Pennisetum purpureum (Schumach) (Maralfalfa) Silages in NigerMaman Lawal Abdoul Aziz, Seydou Korombé Hamza, Djibo Ibrahim et al.Seasonal variations in the quantity and quality of fodder constitute an obstacle to the development of ruminant breeding in Niger. This is why this study was carried out to evaluate the effects of salt addition, shelf life, and type of additive on the chemical composition of Pennisetum purpureum Schumach (Maralfalfa) silages. These aspects were retained because salt, in addition to … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 12 Sep 2024 · 4,729 accessesView PDFCite
Research ArticleOpen accessIn the author namesBig Data Framework for Predicting Infectious Diseases to Improve Healthcare by Discovering New Symptom PatternsAmal Mohamed Mounir, Mohamed Ibrahim Marie, Laila Abd-ElhamidThe utilization of big data in infectious disease control represents a captivating opportunity, as these novel data streams offer the potential to enhance the timeliness of preventive measures. Various healthcare providers in both the public and private sectors generate, store, and analyse extensive datasets to enhance the quality of services they deliver. Recently, the outbreak of the new coronavirus, COVID-19, … …Journal of Computer Science, Vol. 20, Issue 10 · 2 Aug 2024 · 4,922 accessesView PDFCite
Research ArticleOpen accessIn the author namesThe Stanford Dependency Relations for Commonsense Knowledge Representation of Winograd Schema Challenge (WSC)Nesreen Alsharman, Raja Masadeh, Ibrahim Ali Jawarneh, Ahmad Al-Rababa’aAn alternative to the Turing Test that could offer a more accurate measurement of artificial intelligence is the Winograd Schema Challenge (WSC). It presents a number of coreference resolution issues that cannot be resolved without the use of human behavior reasoning. A certain type of Commonsense Knowledge (CSK) is necessary for Winograd schema. In order to handle the representation of … …Journal of Computer Science, Vol. 20, Issue 9 · 10 Jul 2024 · 4,749 accessesView PDFCite
Research ArticleOpen accessIn the author namesPrompt-Based Data Augmentation with Large Language Models for Indonesian Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Faisal, Zefanya Delvin Sulistiya, Tora Sangputra Yopie WinartoThe increasing amount of content on social media content makes the use of automatic moderation crucial for preserving a healthy online community and reducing the spread of offensive and abusive content, such as hate speech based on gender. Developing automated social media moderation using machine learning demands a large and balanced dataset. However, difficulties such as data scarcity and class … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,886 accessesView PDFCite
Research ArticleOpen accessIn the author namesTesting React Native Mobile Apps: Pruning GUI Model ApproachRand Marwan Khalil Ibrahim, Samer ZeinThe mobile app market is still in continual growth. People are migrating to smartphone mobile devices to accomplish their daily activities while working, playing, and communicating with others. From the developers' perspective, there exists a wide variety of platforms, technologies, and architecture choices for developing and testing mobile apps. However, because of the constant changes in software applications and the … …Journal of Computer Science, Vol. 20, Issue 6 · 12 Mar 2024 · 6,075 accessesView PDFCite