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Research ArticleOpen accessIn the keywordsPredicting Antigenic Peptides Using a Multi-Level Transformer Model with Enhanced Feature SelectionAshwini S., Minu R. I., Jeevan KumarThis Antigenic Peptide (APs) prediction is one of the most important roles to improve vaccine design and interpret immune responses. This paper develops a Multi-Level Pooling-based Transformer model, which improves the accuracy and efficiency of predicting T-cell epitopes. The model utilizes peptide sequences from the Immune Epitope Database, employing a refined Kolaskar and Tongaonkar algorithm for feature extraction and a … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,443 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClassification of Breast Tumor in Mammogram Images Using Unsupervised Feature LearningAidarus M. Ibrahim, Baharum Baharudin, Abas Md Said, P. N. HashimahIn this study, we propose a learning-based approach using feature learning to minimize the manual effort required to extract features. Firstly, we extracted features from equally spaced sub-patches covering the input Region of Interest (ROI). The dimensionality of the extracted features is reduced using max-pooling. Furthermore, spherical k-means clustering coupled with max pooling (k-means-max pooling) is compared with well-known feature … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 13 May 2016 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation of Food Color Consumption and Determining Color Type by Thin Layer ChromatographyShayan Hosseini, Mehraban Sadeghi, Bahman Banaei Ghahferkhi et al.The aim of this research was to investigate the role of the social demographic parameters of the people in charge of the facilities producing pastry, poolak (a type of coin-shaped candy) and rock candy in the consumption of food colors and to determine color type by thin layer chromatography in Shahr-e-kord city in 2011. This research was an interventional-analytical study … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 17 Feb 2013 · 7,226 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCrop Yield and Quality of Lentil Varieties in the Conditions of the Southeast of KazakhstanAlma Zhumabaevna Saikenova, Mukhtar Sarsenbekovich Kudaibergenov, Tаken Nurgassenovich Nurgassenov et al.The article presents the results of the three-year research aimed at studying and determining lentil varieties with high yields, suitable for mechanized harvesting (tall with the high attachment of lower beans), maturing at the same time and non-shedding, as well as resistant to stress factors, for use in breeding. The objectives of the research include the study of lentil varieties … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 29 Jan 2021 · 6,652 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBuffer Pocketing and Pre-Checking on Buffer UtilizationK. Saravanan, R. M. SureshProblem statement: In this study, the paper proposes the development of Effective Buffer Utilization on Adaptive Router with Buffer Pocketing and Pre-Buffer Checking Technique. Network-on-Chip could be prepared more capable by tricky faster routers. By using improved buffers, superior number of ports and channels, adaptive routing, all of which acquire key of overheads in hardware costs. Approach: This technique will … …Journal of Computer Science, Vol. 8, Issue 6 · 23 Apr 2012 · 6,908 accessesView PDFCite
Research ArticleOpen accessIn the author namesHOW PUBLIC ORGANISATIONAL STRUCTURES INFLUENCE SOFTWARE DEVELOPMENT PROCESSESMohammed A. Bindrees, Robert J. Pooley, Idris S. Ibrahim, Diana S. BentalSoftware applications are developed differently based on each organisation's needs and requirements. Software projects are fundamentally based on three considerations (time, cost and quality) each of which is affected by organisational factors. Both Project Management and Software Engineering have emphasised the role of organisation structure on the quality of the deliverable software applications, recognising that organisation structure influences flexibility, reporting … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 7,985 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiomorphological Indicators of Rainbow Trout (Oncorhynchus mykiss) Fry: Comparative Analysis in the Conditions of the Lower Kolsay and Fish FarmsBarakov Rinat Tairovich, Abilov Berdibek Ibragimovich, Assylbekova Saule Zhangirovna et al.Rainbow trout (Oncorhynchus mykiss Walbaum, 1792) is one of the key species in aquaculture of the salmon family due to its high commercial value and the availability of farming technology. This paper presents data on the morphometric characteristics of rainbow trout fry grown in three types of farms in Kazakhstan and wild forms from Lake Lower Kolsay. The comparison was … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 1 Apr 2026 · 1,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,978 accessesView PDFCite
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 abstractGenome-Wide Association Study of Single Nucleotide Polymorphisms with Milk Traits in Red Gorbatov CattleMarina Ivanovna Selionova, Grigorii Sergeyevich Shekhovtsev, Ivan Petrovich Prokhorov et al.In order to preserve the gene pool of the Red Gorbatov breed, it is necessary to use a set of genomic analysis tools that allows more efficient planning in obtaining individuals who meet the economic requirements of dairy farming. The aim of the work was to identify candidate genes associated with milk production traits in Red Gorbatov cattle using a … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 12 Oct 2024 · 4,736 accessesView PDFCite