Showing 1,741 - 1,760 results of 25,328 for search 'research algorithm', query time: 0.22s Refine Results
  1. 1741

    Black box algorithms and the rights of individuals: no easy solution to the “explainability” problem by Jarek Gryz, Marcin Rojszczak

    Published 2021-06-01
    “…Over the last few years, the interpretability of classification models has been a very active area of research. Recently, the concept of interpretability was given a more specific legal context. …”
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    Optimization Neuro Fuzzy Using Genetic Algorithm For Diagnose Typhoid Fever by Muhamad Nasrul Fata, Riza Arifudin, Budi Prasetiyo

    Published 2019-05-01
    “…The results of this optimization are the diagnosis of typhoid fever based on the variable of indications entered. From the research results obtained from the neuro fuzzy method get an 80% accuracy value and neuro fuzzy optimization results with genetic algorithms with a value of pc 0.5, pm 0.2 and max generation 25 the value of accuracy increases to 90%. …”
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  11. 1751

    Rapid Contrast Enhancement Algorithm for Natural Contrast- Distorted Color Images by Asmaa Albakri, Zohair Al-Ameen

    Published 2021-12-01
    “…Therefore, a low-intricacy multi-step algorithm is developed in this study for rapid contrast enhancement of color images. …”
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  12. 1752

    Adaptive Synchronverter Algorithm Using Q-Learning for Microgrid Stability Control by Mohd Brado Frasetyo, Fransisco Danang Wijaya, Husni Rois Ali, Muhammad Zharfan Wiranata

    Published 2025-01-01
    “…The proposed Q-learning-based synchronverter control algorithm adjusts the inverter output dynamically, ensuring both frequency and voltage stability within the microgrid. …”
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  13. 1753

    Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

    Published 2018
    “…This study considered the development of crime prediction prototype model using decision tree (J48) algorithm because it has been considered as the most efficient machine learning algorithm for prediction of crime data as described in the related literature. …”
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    Article
  14. 1754

    ANALYZING EEG SIGNALS FOR STRESS DETECTION USING RANDOM FOREST ALGORITHM by Fi Imanur Sifaunnufus Ms, Fitra Abdurrachman Bachtiar, Barlian Henryranu Prasetio

    Published 2024-10-01
    “…As for the contribution of this research, a reliable method for stress identification has been suggested, using a random forest model to categorize stress levels from EEG signals. …”
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  15. 1755

    Algorithm for Internal State Financial Control by the Treasury of Russia: Problems and Solutions by N. N. Simko

    Published 2020-12-01
    “…The paper discusses an integrated research of implementing internal state financial control by the Federal Treasury. …”
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    Article
  16. 1756

    Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms by M. B. Amri, M. B. Amri, D. Yedjour, M. E. A. Larabi, F. Berrichi

    Published 2025-05-01
    “…However, the sheer dimensionality of these data poses significant challenges to traditional Machine Learning (ML) methods. This research tackles the high-dimensional challenge of HSI classification with an advanced hybrid framework, leveraging the power of Deep Learning (DL), ML and Evolutionary Algorithms (EA) to conquer this challenge and achieve accurate HSI classification. …”
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  17. 1757

    Shuffled Frog-Leaping Algorithm Metaheuristic for Extractive Single- Document Summarization by Juan-David Yip-Herrera, Martha-Eliana Mendoza-Becerra

    Published 2024-12-01
    “…This proposal is based on the shuffled frog-leaping metaheuristic algorithm (SFLA) and includes a global explicit tabu memory. …”
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  18. 1758

    A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment by Anagh Awal, Farsuram Pandit

    Published 2024-09-01
    “…The paper also explores future research directions, suggesting ways to advance the field by leveraging nature-inspired algorithms. …”
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    Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments by I Gede Bintang Arya Budaya, I Komang Dharmendra, Evi Triandini

    Published 2025-03-01
    “…The complexity of customer data makes manual analysis of the customer segments difficult, so applying machine learning to segment the customer can be the solution. This research implements K-Means and GMM algorithms for performing clustering based on the Transaction data transformed to the Recency, Frequency, and Monetary (RFM) data model, then implements Formal Concept Analysis (FCA) as an approach to analyzing the customer segment after the class labeling. …”
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