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  1. 361

    Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

    Published 2025-07-01
    “…This systematic review analyzes over 300 peer-reviewed studies over the last two decades (mostly analyzing the recent works) to evaluate the effectiveness of widely used ML algorithms—Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Random Forests (RFs), Decision Trees (DTs), and K-Nearest Neighbors (KNN)—in QA applications. …”
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    THE COLLABORATIVE DESIGNING OF A PERSONALIZED HYBRID LMS USING A VIRTUAL MACHINE IN A CLOUD ENVIRONMENT by Lina Čeponienė, Péter Galambos, Tamás Haidegger, Dariusz Mikulowski, Branislav Mišota, Oliver Moravcik, Enikő Nagy, Mariya P. Shyshkina, Pavel Smolka, Stefan Svetsky

    Published 2023-12-01
    “…The authors offer their own approach to solving the problem of processing educational information to support a virtual team's work. As part of collaborative research in the field of technology-enhanced education and e-Learning design, the international team in the V4 EDUPORT project is implementing a personalized hybrid system on the IT infrastructure consisting of a specially designed desktop application WPad or web application (PIKS) and a common shared remote computer (virtual computer on a cloud server with Windows 2022). …”
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  5. 365

    Determinants of doctor-doctor relationships among academic and clinical staff at a university hospital, Cairo, Egypt: a mixed method study by Shaimaa Samy Yousef, Maha El Gaafary, Sahar Mohamed Sabbour, Sally Adel Hakim, Yosra S. Abd El-Ghaffar, Abeer Hassan Ahmed, Omar Matar, Hoda I. Fahim

    Published 2025-05-01
    “…For the qualitative part, six themes were generated: Factors affecting relations with colleagues both specifically and generally; Reliability of the statement: “When I become a senior, I will treat juniors the same way I was treated”; Causes of strained relationships between colleagues and reflections from personal experiences; Factors that enhance colleague relationships and reflections from personal experiences; Behavior of colleagues in the department when someone faces accountability: and Qualities of an ideal doctor and suggestions for creating a better doctor-to-doctor work environment. Conclusion The study emphasized the importance of creating a supportive academic and professional environment for medical staff, addressing their practical and emotional needs. …”
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  6. 366

    Experimental Validation and Optimization of a Hydrogen–Gasoline Dual-Fuel Combustion Model in a Spark Ignition Engine with a Moderate Hydrogen Ratio by Attila Kiss, Bálint Szabó, Krisztián Kun, Barna Hanula, Zoltán Weltsch

    Published 2025-07-01
    “…In addition to improving model accuracy, this work investigates the occurrence of abnormal combustion phenomena—including backfiring, auto-ignition, and knock—under enriched conditions. …”
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    Response Prediction and Experimental Validation of Vibration Noise in the Conveyor Trough of a Combine Harvester by Jianpeng Jing, Guangen Yan, Zhong Tang, Shuren Chen, Runzhi Liang, Yuxuan Chen, Xiaoying He

    Published 2025-05-01
    “…Results indicate that transmitted noise dominates over structural radiation in energy contribution, highlighting it as the primary noise path. This work offers a validated prediction model and supports noise control design for combine harvester conveying troughs.…”
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  11. 371

    Enhancing Sustainable IoT Systems Through a Goal-Oriented Requirements Analysis Framework by José Alfonso Aguilar-Calderón, Carolina Tripp-Barba, Aníbal Zaldívar-Colado, Pedro Alfonso Aguilar-Calderón, Pablo Alfonso Aguilar-Calderón

    Published 2025-05-01
    “…Furthermore, an empirical evaluation was conducted in a simulated IoT environment, measuring key metrics such as energy consumption, latency, and code-generation error rate. A comparative analysis with existing RE and MDD approaches is also presented to highlight GORA’s advantages in feature coverage, sustainability support, and automation level. …”
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  12. 372

    HawkEye: AI-Driven Software for Objective Analysis and Characterization of Nodular Cast Iron Microstructures by Javier Nieves, Antonio Serena-Barriuso, Guillermo Elejoste-Rementeria

    Published 2025-06-01
    “…Nevertheless, the key contribution of this work is the replacement of subjective evaluation with a reproducible, AI-driven approach, which significantly enhances the objectivity, traceability, and scalability of metallurgical analysis. …”
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    An improved multiclass classification of acute lymphocytic leukemia using enhanced glowworm swarm optimization by Saranya N, Kalamani M

    Published 2025-04-01
    “…The ultimate goal of this work is to develop a computer aided automatic classification system to classify Benign, Early, Pro-B and Pre-B classes of ALL. …”
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  15. 375

    Application of Image Processing Technology in the Diagnosis of Football Injury by Liyun Xu, Zhubo Xu

    Published 2022-01-01
    “…Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis. …”
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  16. 376

    Investigation of the Pulmonary Artery Hypertension Using an Ad Hoc OpenFOAM CFD Solver by Francesco Duronio, Paola Marchetti

    Published 2024-12-01
    “…Specifically, the aim of this study is the fluid dynamic analysis of the pulmonary artery, comparing the characteristics of the blood flow in a healthy subject with that of a patient affected by pulmonary arterial hypertension. …”
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    Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

    Published 2022-12-01
    “…In this study, the classification study of human facial expressions in real-time images is discussed. Implementing this work in software have some benefits for us. For example, analysis of mood in group photos is an interesting instance in this regard. …”
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