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18 articles for “Pipelines”
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Research ArticleOpen accessEvery word in the titleStochastic Prognostic Paradigm for Petrochemical Pipelines Subject to FatigueAbdo Abou Jaoude, Khaled El-TawilThe most important aim for industrialists is the prevention and the evaluation of their products state since non-predicted failure is very expensive in some cases. This can be done mainly by the evaluation of the &#34Remaining Useful Lifetime&#34 (RUL) by the means of prognostic approaches compensating the inconveniences of classical maintenance strategies. A proposed analytic prognostic methodology based on damage … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 2 · 15 Apr 2013 · 7,557 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing DevOps Pipelines With Viral Spread Optimization and Hybrid Deep LearningDileepkumar S R, Juby MathewModern software teams rely on Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate testing and delivery. However, these pipelines often waste resources by running unnecessary tests and failing to predict which builds will fail. This study presents a new framework that addresses three key challenges: (1) deciding which tests to run first, (2) predicting which builds will fail, and … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Pipelines for Intelligent Human Resources Text Classification: LLMs, RAG, and Generative AISoumia Chafi, Mustapha Kabil, Abdessamad KamoussThe digital transformation of Human Resources Information Systems (HRIS) requires advanced approaches to process unstructured textual data originating from Curriculum Vitae (CVs), cover letters, and job postings. Traditional text classification methods exhibit limitations when faced with current needs for contextual understanding and fine-grained skill detection. This paper proposes a hybrid pipeline combining advanced text classification, contrastive learning (SimCSE, Contriever), Retrieval-Augmented … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,509 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRoughness Effect on an Unsteady Flow in Pipelines by Profilometry and Imaging TechniquesMabrouk Benkhedimallah, Rabah Zegadi, Mohamed BouafiaProblem statement: Currently the aero dynamical calculation in gas pipes is carried out under the assumption of steady state conditions. However real steady in a network is scarcely quasisteady. Approach: The unsteady state is governed by non-linear partial differential equations leading to mathematical difficulties. And there are fore gas pipe dimensions are computed at steady state under extreme conditions. Results: … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 29 Jan 2011 · 8,152 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInvestigating the Effect of Powder Type on Improving the Flow in PipelinesHayder A. Abdul Bari, Rosli Bin Mohd Yunus, Tania Suhail HadiProblem statement: In the present investigation, three types of powders are chosen to be investigated as drag reducing agent in aqueous media. The effect of powder type effect will be highlighted in the present study. Approach: Three types of powders were select to be investigating in the present study, which are the sand, aluminum and the coal powders. The reason … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 7,396 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModeling and Performance Analysis of a Petroleum-Pipeline-Pressure-Boosting Station Powered by Two-Shaft GT EngineYousef S. H. Najjar, Mohammad Z. M. Yousef, Aad M. A. Al-MahgariThis study offers modeling and performance analysis of a pressure-boosting station for petroleum pipelines using a sustainable two-shaft GT engine to drive a three-stage centrifugal pump. The modeling is divided into three steps; matching the GT engine components at the maximum efficiency line, matching the pump performance with the requirements of the pipeline system to generate the pump load curve, … …Energy Research Journal, Vol. 12, Issue 1 · 18 Jan 2022 · 10,510 accessesView PDFCite
Research ArticleOpen accessIn the keywordsConceptual Design, Analysis and Construction of a Fixed-Wing Unmanned Arial Vehicle for Oil and Gas Pipeline SurveillanceAliyu Bhar Kisabo, Charles Attah Osheku, Sholiyi Olusegun SamuelOil and Gas Pipelines consists of pipes, compressors and pumps. These are frequently located in environments that are difficult to monitor and secure (e.g., creeks and remote areas). Attacks or damage to such installations can lead to enormous ecological impact and loss of revenue. Developing and implementing monitoring systems that can continuously assess the state and condition of oil and … …Journal of Aircraft and Spacecraft Technology, Vol. 1, Issue 1 · 1 Jun 2017 · 10,532 accessesView PDFCite
Research ArticleOpen accessIn the abstractVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Digitization of Engineering Diagrams using Intelligent AlgorithmsPremanand Ghadekar, Shaunak Joshi, Debabrata Swain et al.At present usage of computational intelligence became the ultimate need of the heavy engineering industries. Digitization can be achieved in these sectors by scanning the hard copy images. When older documents are digitized are not of very high fidelity and therefore the accuracy, reliability of the estimates of components such as equipment and materials after digitization are remarkably low since … …Journal of Computer Science, Vol. 17, Issue 9 · 28 Sep 2021 · 7,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Construction of Two and Three Dimensional Molecular Models for the miR-31 and Its Silencer as the Triple Negative Breast Cancer BiomarkersArli Aditya ParikesitThe Triple Negative Breast Cancer (TNBC) is considered as the most difficult Breast Cancer type to be medicated. So far, the acceptable medication and diagnostics measure are based upon the proteomics-world view, especially with utilizing the natural products and their derivatives as drug candidates. However, as the transcriptomics-studies are getting more advanced, the research on non-coding (nc)RNA is being considered … …OnLine Journal of Biological Sciences, Vol. 18, Issue 4 · 18 Oct 2018 · 7,772 accessesView PDFCite