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Research ArticleOpen accessIn the abstractComparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical StudyEl Badaoui Mohamed, Raouyane Brahim, El Moumen Samira, Bellafkih MostafaThis paper presents a rigorous comparative analysis of six feedforward neural network models for predicting the directional movement of the EUR/USD currency pair. The evaluated models include the Learning Vector Quantization, Cascade Neural Network, Feedforward Neural Network, Single Layer Perceptron, Multi-Layer Perceptron, and Radial Basis Function network. Utilizing daily historical data from April 2009 to May 2024, each model was … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractICT-Based Blended Learningin the Information Age: AnApproach for Enhanced Learning MotivationFayez Khazalah, Yousef Aljaraideh, Anas Husain, Ahmad RabeeBlended Learning (BL) learning has emerged as a transformative approach in higher education, combining traditional face-to-face instruction with the advantages of online learning to enhance the educational process. BL has recently relied on Information and Communication Technology (ICT) to facilitate its implementation and usefulness. This study relies on Self-Determination Theory (SDT) to demonstrate the potential of ICT-based BL to support … …Journal of Computer Science, Vol. 21, Issue 12 · 26 Jan 2026 · 1,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Phytochemical Analysis of Hydrodistilled Essential Oils of Scots Pine (Pinus Sylvestris L.) Needles From Central KazakhstanKuralay Tuleshova, Margarita Ishmuratova, Asanali Aynabayev et al.This study presents a detailed phytochemical investigation of hydrodistilled essential oils extracted from the needles of Pinus sylvestris (Scots pine), collected from fifteen natural populations located in the Karaganda and Ulytau regions of Central Kazakhstan. The extraction was performed using hydrodistillation with hexane as a co-solvent, and the chemical composition of the oils was subsequently analyzed using gas chromatography–mass spectrometry … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 28 Nov 2025 · 2,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractBioactivity of Sumac (Rhus Coriaria) Extract as a Green Alternative for Plant Pathogen InhibitionMohammed H. Al-Mamoori, Meisam Zargar, Elena N. Pakina, Fatih DadaşoğluEnvironmental stress caused by pathogenic fungi leads to considerable losses in global crop productivity. Plant-derived extracts are eco-friendly and sustainable alternatives that can inhibit biotic stresses. Sumac (Rhus coriaria) is widely used in industrial and medicinal applications due to its extract rich in secondary metabolites, similar to those found in chemical pesticides and pharmaceuticals. This study aimed to characterize the … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 25 Nov 2025 · 2,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractImportance of Quadratic Forms in Mathematics EducationGurudeo Anand TularamQuadratic forms and equations serve as foundational elements in mathematics, playing a crucial role in a myriad of scientific disciplines, including physics, chemistry, economics, and social sciences. This paper explores the significance of quadratic concepts, demonstrating their applications in modelling real-world phenomena and enhancing analytical thinking. Through a comprehensive review of literature and practical examples, the author highlights how understanding … …Journal of Mathematics and Statistics, Vol. 21, Issue 1 · 17 Oct 2025 · 4,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractExpression and Induction Optimization of Mucor Circinelloides Lipase in Escherichia ColiYueping Yang, Yao Zhang et al.Microbial lipases serve as versatile biocatalysts for modifying lipid substrates, enabling diverse biotechnological applications spanning food technology, renewable energy production, and pharmaceutical sectors. Genomic analysis of Mucor circinelloides WJ11 revealed multiple lipase-encoding genes, with WJ_23 successfully cloned and heterologously expressed in Escherichia coli. Since the lipase expression was mainly concentrated in the cell pellets, appropriate induction strategies had been investigated … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 13 Jun 2025 · 5,982 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Influencing the Adoption of Cloud Computing for Thai SME BusinessesArisaphat Suttidee, Charuay SavithiThis study investigates the various factors affecting the adoption of cloud computing in Thai SMEs by evaluating and contrasting the significance of these adoption factors. A comprehensive sample consisting of 384 SMEs from Northeast Thailand participated in the study by responding to detailed questionnaires that were designed for robust data collection. We employ various statistical approaches, including T and F … …Journal of Computer Science, Vol. 21, Issue 2 · 5 Jan 2025 · 7,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Source Cyber Intrusion Detection Using Ensemble Machine LearningTaskeen Ali Khan, Sara Abbas, Biswaranjan Senapati et al.The increased usage of digital technologies across businesses has led to an increase in cybercrime. It is difficult for existing intrusion detection systems to detect highly skilled hacking attempts; however, machine learning has been suggested as a way around these drawbacks. The purpose of this study is to evaluate how well various machine learning algorithms identify and stop cyberattacks in … …Journal of Computer Science, Vol. 21, Issue 1 · 14 Dec 2024 · 5,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Text Data Hiding Technique Using Cryptography and SteganographyNor Fazlida Mohd Sani, Mohamad Adreen NujjaidSteganography serves as a technique for covertly embedding confidential information within other data, ensuring that both the existence and content of this hidden data remain undisclosed to unauthorized parties. Its applications span diverse domains, including military operations, online payment systems, and the Internet of Things (IoT). Steganography proves highly adaptable in concealing data, as information with an unknown presence escapes … …Journal of Computer Science, Vol. 21, Issue 1 · 3 Dec 2024 · 5,986 accessesView PDFCite