Showing 1 - 20 results of 431 for search 'occurrence (quantification OR identification) (measures OR features)', query time: 0.19s Refine Results
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    Wood Species Identification Based on Gray Level Co-Occurrence Matrix (GLCM) Features on Macroscopic Images by Muhammad Ghiffaari Ilham Ramadhan, Bambang Sugiarto, Okta Dwi Mulya, Defti Septian Chairulsyah, Adyanto Syahrizal, Gunawan Gunawan, Riffa Haviani Laluma, Rini Nuraini Sukmana, Teguh Wiharko

    Published 2025-03-01
    “…This research aims to propose a method for wood species identification based on Gray Level Co-occurrence Matrix (GLCM) features to extract important information about wood characteristics from macroscopic wood images. …”
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    Classification and identification of pest, diseases and nutrient deficiency in paddy using layer based EMD phase features with decision tree by A. Pushpa Athisaya Sakila Rani, N. Suresh Singh

    Published 2025-06-01
    “…Multiple layers are then constructed on the leaf image through which features are extracted. The Gray Level Co-occurrence Matrix (GLCM) algorithm and Principal Component Analysis (PCA) are used to extract the global texture features of the leaf image. …”
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    Sweet pepper foliar diseases quantification and identification using an image analysis tool by Vijayanandh Rajamanickam, Adesh Ramsubhag, Jayaraj Jayaraman

    Published 2025-03-01
    “…Gray-Level Co-occurrence Matrix (GLCM) extracted the texture features from the diseased area of leaves. …”
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    Crowd Speaker Identification Methodologies, Datasets And Features: Review by Husam Alasadi, Ghadeer Qasim Ali

    Published 2024-12-01
    “…Our work examines crowd speech identification from four perspectives, including the most commonly used datasets, the most effective features for crowed speaker identification, and the best methodologies employed, and the highest results gained. …”
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    Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

    Published 2025-08-01
    “…Abstract This study presents an integrated framework combining supervised classification and composition-driven regression modeling for automated phase identification and quantification in steel microstructures. …”
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    Methodology for Identification of Occupational Hazards Using Their Characteristic Features in Hard Coal Mining by Zbigniew Burtan, Dagmara Nowak-Senderowska, Paweł Szczepański

    Published 2025-06-01
    “…The proposed approach, grounded in the identification of characteristic features of hazards, facilitates the effective selection of preventive measures that can be implemented to reduce risk and improve workplace safety. …”
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    Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques by Azmath Mubeen, Uma N. Dulhare

    Published 2024-10-01
    “…The key steps include image preprocessing with anisotropic diffusion and Retinex enhancement, superpixel segmentation using SLIC, and graph-based feature extraction. Texture analysis was performed using Gray-Level Co-occurrence Matrix (GLCM) metrics, while shape analysis was conducted with Fourier descriptors. …”
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    Uncertainty-Based Fusion Method for Structural Modal Parameter Identification by Xiaoteng Liu, Zirui Dong, Hongxia Ji, Zhenjiang Yue, Jie Kang

    Published 2025-07-01
    “…Practically, two types of methods are characterized by different advantages, and the estimated modal parameters are always subjected to statistical uncertainties due to measurement noise. In this work, an uncertainty-based fusion method for structural mode identification is proposed to merge the advantages of different methods. …”
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    Non-destructive Identification of Moldy Walnuts by Fusing X-Ray and Visual Image Features by NING Xinyue, ZHANG Hui, JI Shuai, LAI Lisi

    Published 2025-06-01
    “…First, the gray-level co-occurrence matrix (GLCM) was used to extract texture features from X-ray and visual images, and the first and second moments of the visual images were computed in different color spaces to comprehensively capture the internal and external moldiness characteristics of walnuts in order to construct an original moldy walnut feature set. …”
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    Managing flash flood crises with cultural perspectives: A user-centric feature identification study. by Siti Fatimah Abdul Razak, Sumendra Yogarayan, Umar Ali Bukar, Md Shohel Sayeed

    Published 2025-01-01
    “…The study collected 351 responses, primarily targeting adults in flood-prone areas using convenience sampling method with the goal of exploring cultural bias for feature identification of in-vehicle flash flood app. …”
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    Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features by Hao Wu, Dan Tang, Yuan Cai, Chaowen Zheng

    Published 2024-01-01
    “…To avoid the cable early faults causing great damage to the power grid operation, in this paper, we propose a research method for cable early fault identification based on the fusion of Markov Transition Field (MTF)-Gramian Angular Field (GAF) and multi-head attention mechanism features to accurately identify the cable early faults. …”
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