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135 results for “Engineering technique”
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Review ArticleOpen accessIn the abstractMaintenance and Evolution Processes of Embedded Software: A Systematic Literature ReviewAloysio Augusto Rabello de Carvalho, Luiz Eduardo Galvão MartinsThe relevance of embedded systems has increased considerably due to industrial automation and the adoption of IoT and medical devices. This process demands the adaptation of software engineering techniques that involve the maintenance and evolution of software for use in embedded systems. We conducted this Systematic Literature Review (SLR) to investigate the state of the art on the topics of … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,750 accessesView PDFCite
Review ArticleOpen accessIn the abstractBig Data Analytics (BDA) in the Research Landscape: Using Python and VOSviewer for Advanced Bibliometric AnalysisSamsul Arifin, Muhammad Faisal, Monica Mayeni Manurung et al.Big data analytics has become a key element in research and development in various fields. With the ability to analyze large and complex amounts of data, this technology allows researchers to identify patterns, trends, and insights that were not seen before. This article explores how big data analytics is applied in various disciplines, including computer science, engineering, and mathematics. We … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,593 accessesView PDFCite
EditorialOpen accessIn the abstractInternational Journal of Structural Glass and Advanced Materials Research: A New Open Platform for Materials ScienceChiara Bedon, Mario D’Aniello, Andreas Luible, Flavio StochinoEditorial The International Journal of Structural Glass and Advanced Materials Research (IJSGAMR) is a new peer-reviewed, open access journal, which covers all aspects of theoretical and practical research of materials science. The journal aims to promote international exchange of knowledge and broad discussion on advancements, outcomes and recent developments in materials research for engineering applications. In the last years, the … …International Journal of Structural Glass and Advanced Materials Research, Vol. 1, Issue 1 · 17 May 2017 · 13,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractHysteresis, resonant oscillations and bifurcation mode of a system modeled by a forced modified Van der Pol-Duffing oscillatorJean Bio Chabi Orou, Clément Hodévèwan Miwadinou, Laurent Amoussou Hinvi, Adjimon Vincent MonwanouNonlinear oscillations and its applications in physics, chemistry, engineering, biophysics, communications are studied with some analytical, numerical and experimental methods. In the present paper, hysteresis, resonant oscillations and bifurcation mode of a system modeled by a forced modified Van der Pol-Duffing oscillator are considered. The plasma oscillations are considered and are described by a nonlinear differential equation. By using the … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 23 Oct 2017 · 7,907 accessesView PDFCite
Review ArticleOpen accessIn the abstractEconomic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual FrameworkPatrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik FaturohmanThe integration of Machine Learning (ML) with economic theory has transformed financial market analysis, particularly in asset pricing and portfolio optimization. This study synthesizes existing research, identifies gaps and elucidates ML's impact on enhancing economic models and strategies through a Systematic Literature Review (SLR) of 401 relevant documents using bibliometric methodology and VOS viewer. Results show an increasing trend in … …Journal of Computer Science, Vol. 20, Issue 10 · 7 Aug 2024 · 5,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,488 accessesView PDFCite