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  1. 1821

    A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models by George Raftopoulos, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis

    Published 2025-07-01
    “…We analyze these adaptations in terms of their methodological adjustments, impact on algorithmic bias and ability to maintain predictive performance comparable to the original models.…”
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    Article
  2. 1822

    Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

    Published 2023-12-01
    “…In order to choose the best features, a modified chicken swarm optimization algorithm (MCSO) was proposed. Aberrant waves caused by cardiac ailments impacted the dataset patients, according to the suggested research’s unique machine learning methods of multi-module neural network system (MMNNS). …”
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    Article
  3. 1823

    Prediction of Provincial Energy Consumption Intensity and Estimation of Carbon Emission Reduction Potential Based on PSO-GWO by Fugui DONG, Meijuan XIA, Wanying LI

    Published 2023-09-01
    “…An energy intensity learning curve was constructed, which contains such three factors as economy, technology input and scale effect, and the grey wolf algorithm was used to improve the particle swarm optimization algorithm to optimize the fitting curves. …”
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    Article
  4. 1824
  5. 1825
  6. 1826

    Discrete Dynamic Modeling Analysis of Engineering Management and Quality Optimization Innovation Mode Based on Big Data Intelligent Algorithm by Xiaowen Zhuang, Chuanbao Wu

    Published 2022-01-01
    “…Based on the above situation, this paper puts forward the research on discrete dynamic modeling of engineering management and optimization innovation mode based on big data intelligent algorithm. It mainly uses big data technology to collect and classify the obtained data information and uses discrete dynamic modeling technology to optimize the management system, focus on the management and innovation of green engineering, use big data dynamic modeling technology to build engineering management model, and improve the balance of project model through intelligent planning algorithm. …”
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    Article
  7. 1827

    Wireless Sensor Network Cluster Head Selection and Short Routing Using Energy Efficient ElectroStatic Discharge Algorithm by G. C. Jagan, P. Jesu Jayarin

    Published 2022-01-01
    “…Cluster head selection plays a crucial stage in a WSN architecture which mainly focuses on the minimization of network energy consumption. …”
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    Article
  8. 1828

    Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm by Xiaoping XIONG, Shaolei HAO, Di SUN, Guangyang LIN, Hang LI

    Published 2021-09-01
    “…For this reason, an optimal site selection model is built for the ISDIC by combining the conventional substation site selection schemes and the specific center requirements, which mainly considers such three factors as information delay, resident influence and load distribution. …”
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    Article
  9. 1829

    Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering. by Xini Fang

    Published 2025-01-01
    “…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. The data selected is mainly from RESSET/DB, covering the issuance, trading, and rating data of fixed-income products such as bonds, government bonds, and corporate bonds, and provides basic information, net value, position, and performance data of funds. …”
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    Article
  10. 1830

    A surrogate-assisted differential evolution algorithm with a dual-space-driven selection strategy for expensive optimization problems by Hanqing Liu, Zhigang Ren, Chenlong He, Wenhao Du

    Published 2025-04-01
    “…Abstract Surrogate-assisted evolutionary algorithms (SAEAs) have shown great potential to solve computationally expensive optimization problems (EOPs). …”
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  11. 1831

    Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems by Nima Khodadadi, Mohammad Ehteram, Hojat Karami, Mohammad H. Nadimi-Shahraki, Laith Abualigah, Seyedali Mirjalili

    Published 2025-03-01
    “…Addressing complex real-world issues with conflicting objectives is a significant challenge in optimization. Practical algorithms must balance these objectives, mainly when decision-maker preferences are unclear. …”
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  12. 1832

    Hyperspectral estimation of soil organic carbon content in the west lakeside oasis of Bosten Lake based on successive projection algorithm by NIU Fangpeng, LI Xinguo, MAMATTURSUN•Eziz, ZHAO Hui

    Published 2021-10-01
    “…After the bands were preprocessed by Savitzky-Golay-standard normal variate-first derivative (SG-SNV-1st Der), the number of bands that passed the extremely significant test (P<0.01) were 414, mainly concentrated in 487-575, 725-998 and 1 464-1 514 nm. …”
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  13. 1833
  14. 1834

    Reliability analysis and pre-sizing of a switched-inductor-capacitor-based quadratic boost converter using genetic algorithm by Divya Navamani J, Lavanya A, Pradeep Vishnuram, Mohit Bajaj, Vojtech Blazek

    Published 2025-09-01
    “…To achieve the optimum switching frequency of the topology, a Genetic Algorithm (GA) is employed. To highlight the superiority of the proposed topology, it is compared with a switched inductor-based converter, and the results are presented. …”
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  15. 1835
  16. 1836

    Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

    Published 2025-01-01
    “…ObjectiveThis study aimed to develop and evaluate an algorithm that uses large language models (LLMs) to extract information from Japanese lung cancer radiology reports and perform clustering analysis. …”
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  17. 1837

    Modification of preoperative preparation as a guarantee of improvement of perioperative treatment in elderly and senile patients by M. B. Danylyuk, S. M. Zavgorodniy, A. I. Rylov, M. A. Кubrak, N. O. Yareshko, A. V. Bachurin

    Published 2022-01-01
    “…Into the control group 89 (58.2 %) patients were included, who were treated in accordance to the standards and clinical protocols, while into the main one - 64 (41.8%) patients, in whom preoperative preparation was modified in accordance to algorithm. …”
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  18. 1838
  19. 1839

    Hazard forecasting techniques implementation in crane safety instruments using a crane anemometer by V. A. Roshchin, S. D. Ivanov, A. N. Nazarov

    Published 2020-11-01
    “…The main part. The main influencing parameters and their measurement intervals are defined for the construction of the anemometer algorithm. …”
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  20. 1840