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471 results for “System analysis approach”
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Research ArticleOpen accessIn the abstractCombining Model-Based Testing and Failure Modes and Effects Analysis for Test Case Prioritization: A Software Testing ApproachAtifi Meriem, Marzak AbdelazizDue to The complexity of modern software projects and the increasing size of software systems, it becomes difficult to manually perform tests with limited resources. Also, manual testing cannot assure that the software is tested using all possible combinations of inputs. Therefore, automate software testing activities have become primordial in the Software Development Life Cycle (SDLC). Model-based testing is a … …Journal of Computer Science, Vol. 15, Issue 4 · 4 Apr 2019 · 8,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractMethodological Approach to Developing a Model of Interference-Free Processing of Multichannel Records of the Electrical Cardiological Impulse to Determine Episodes of Cardiac Muscle IschemiaSergey Alexandrovich Sheptunov, Alexander Nikolaevich Muranov, Abas Khasanovich Lampezhev, Tagirbek Gaidarbekovich AslanovThis study considered a set of topical issues aimed at improving the methodology of the early recognition of episodes of myocardial ischemia. It aims to solve a set of problems in the substantiation and development of a methodological approach for building a model of interference-free processing of multichannel electrocardio signal recordings. Based on theoretical and experimental studies, this will create … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 4,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Machine Translation for Domain Specific Low-Resource Nepali-English Language Pairs: The Impact of Tokenization on Statistical and Neural TechniquesAmit Kumar Roy, Bipul Syam PurkayasthaIn the modern era, the field of Machine Translation (MT) has seen a significant shift towards Neural Machine Translation (NMT) techniques, which have surpassed traditional Statistical Machine Translation (SMT) models in terms of the quality of translation. Despite this, the efficacy of these techniques may differ based on the language combination in consideration. While SMT is somewhat more flexible in … …Journal of Computer Science, Vol. 21, Issue 12 · 24 Jan 2026 · 1,920 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based CryptosystemKumari Rinki, Pushpneel Verma, Tanupriya Choudhury, Bhupesh Kumar SinghAs a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel … …Journal of Computer Science, Vol. 17, Issue 10 · 13 Nov 2021 · 6,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractGroup Decision Support System to Determine Regional Development Priority Using the Item-Based Clustering Hybrid MethodSri Setiyowati, Sumiati, Sutarti et al.Determination of regional development priorities is usually influenced by two factors, firstly the policy-making subjectivity (regional head) second to the results of the development data analysis. But both often do not go hand in hand because in fact subjectivity is more dominant than combining the two. The development of computational technology, especially in the area of decision support, provides space … …Journal of Computer Science, Vol. 15, Issue 4 · 19 Apr 2019 · 7,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Model for the Effectiveness of Hibernate on Complex Ecology SystemLingli Pei, Jiangdong Liao, Hongjun WangThere are significant differences between plant activities and animal activities in ecological networks. On this basis, this article aims to evaluate the effectiveness of the hibernate (forgetting and remembering mechanism). For this purpose, the hibernation interaction is derived model (linear UAH model) of continuous-time individual-level activity. This model is an effective approach to understand the effectiveness of the construction of … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 21 Apr 2021 · 6,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractIAFIR Optimization against NOMA Competitors: A Comprehensive Analysis on Energy-Efficient Non-Orthogonal Multiple AccessS. Pavithra, S. ChitraThe ever-growing demands of next-generation wireless networks necessitate the exploration of innovative technologies to enhance spectral efficiency, user experience and network performance. Non-Orthogonal Multiple Access (NOMA) has emerged as a promising candidate, offering the potential for increased capacity and improved system reliability. NOMA allows multiple users to share the same time-frequency resource, breaking away from traditional orthogonal access methods. In … …Journal of Computer Science, Vol. 20, Issue 8 · 31 May 2024 · 5,053 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Disease Progression Model to Analyze Electronic Health Records With Multimodal Datasets Using Deep Learning TechniquesThulaganyo Dimakatso, Venumadhav Kuthadi, Rajalakshmi Selvaraj, Othapile DinakenyaneIn contemporary clinical environments, precisely simulating the emergence of disease is an intricate task owing to heterogeneously derived data and variability in the record of diagnoses. The research presents a stable classification model that integrates image data with formalized patient data to track patterns in disease through various stages. The suggested approach combines a multi-stage analytical methodology that includes systematic … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,678 accessesView PDFCite