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Research ArticleOpen accessIn the abstractAn Experimental Study on the Embedded Software Development Approach Using TI-RTOSAloysio Augusto Rabello de Carvalho, Luiz Eduardo Galvão MartinsEmbedded systems have experienced significant growth in recent years. These systems, which power a wide range of devices from smart appliances to industrial machinery, have become integral to our daily lives and industries. However, this rapid expansion introduces new challenges for developers. A critical decision involves whether to employ a Real-Time Operating System (RTOS) or to forgo it, depending on … …Journal of Computer Science, Vol. 21, Issue 6 · 17 Jul 2025 · 3,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractModification of the Ornstein Uhlenbeck Process to Incorporate the Influence of Speculation on Volatility in Financial MarketsHendrietha Joan Hendricks, Jacob Ongala, Dismas NtirampebaFinancial market participants often speculate on how markets would behave in the light of certain information at hand. This speculation contributes to volatility within the financial market and consequently, it makes the market unstable. The Ornstein Uhlenbeck (OU) model has intensively been used in modelling volatility, however, the contribution of speculation on volatility has not been studied in the OU … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 18 Jan 2022 · 7,172 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Expert System Based on Interpolation, Forward Chaining, and Certainty Factor for Diagnosing Abdominal ColicHari Soetanto, Painem, Muhammad Kamil SuryadewiansyahAbdominal colic is a common condition that affects infants and it can be difficult to diagnose because it shares many symptoms with other conditions, such as gastric disease and appendicitis. Limitations of existing diagnostic methods include the unreliability of physical examinations and medical histories and the high cost and time-consuming nature of imaging tests. This research proposes an expert system … …Journal of Computer Science, Vol. 20, Issue 2 · 30 Dec 2023 · 5,770 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractContext Tamil Llama-QA: A Question and Answering Framework for Semantic Information Retrieval Using Tamil Large Language ModelJeevit Davidson S., M. MuraliThe Question Answering System (QA) is essential for effectively retrieving and providing relevant information, and its performance is heavily reliant on the efficiency of information retrieval mechanisms. As the volume of information within the corpus continues to grow, the complexity of generating accurate and pertinent answers also increases substantially. This challenge is particularly significant when designing QA systems for regional … …Journal of Computer Science, Vol. 22, Issue 10 · 7 Oct 2026 · 442 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Vehicle Insurance Claim and Settlement Procedures Using IOT Sensors on a Blockchain-Based PlatformPreeti Sharma, Meenakshi Malik, Chander Prabha et al.The conventional vehicle insurance claim and settlement landscape is characterised by significant inefficiencies, including cumbersome claim submissions, arbitrary damage assessments, and susceptibility to fraudulent activities. These problems lead to a longer processing time, higher operational cost to the insurers and a reduction in policyholder satisfaction. To address these important challenges, this study proposes a streamlined vehicle insurance claims system that … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstract3D and 4D Printing as Integrated Manufacturing Methods of Industry 4.0Antreas Kantaros, Theodore Ganetsos, Dimitrios Piromalis3D printing, also known under the term additive manufacturing, is a technology that allows the creation of complex and highly detailed objects using a digital model and a number of materials, such as plastics, metals, and ceramics. 4D printing is an expansion of 3D printing that incorporates time, meaning that the material used in 3D printing can change shape or … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 1 · 4 Mar 2023 · 8,133 accessesView PDFCite
Review ArticleOpen accessIn the abstractCognitive Workload Assessment: A Comprehensive ReviewNegin Ozve Aminian, William Michael, Mehdi GhoreyshiMental workload during high-effort tasks is a crucial measure of effective task performance. Maintaining cognitive demands within an individual's capacity enables the effective performance of complex multi-tasking. Conversely, surpassing this margin may lead to unpredictable and suboptimal performance. This review explores human mental workload assessment across real-world tasks like aircraft piloting, vehicle driving under challenging conditions, and automated power plant … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 20 Aug 2025 · 7,554 accessesView PDFCite