-
1
Wood Species Identification Based on Gray Level Co-Occurrence Matrix (GLCM) Features on Macroscopic Images
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. …”
Get full text
Article -
2
-
3
Classification and identification of pest, diseases and nutrient deficiency in paddy using layer based EMD phase features with decision tree
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. …”
Get full text
Article -
4
Sweet pepper foliar diseases quantification and identification using an image analysis tool
Published 2025-03-01“…Gray-Level Co-occurrence Matrix (GLCM) extracted the texture features from the diseased area of leaves. …”
Get full text
Article -
5
Identification d’occurrences de candidats termes dans des articles scientifiques
Published 2022-06-01Get full text
Article -
6
Hydrate occurrence identification of shallow loose sediments in deep water and its saturation calculation
Published 2025-04-01Get full text
Article -
7
Crowd Speaker Identification Methodologies, Datasets And Features: Review
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. …”
Get full text
Article -
8
Predetermination and Identification of Failure Modes Related to a Welded Car Chassis Component
Published 2025-07-01Get full text
Article -
9
-
10
Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels
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. …”
Get full text
Article -
11
Methodology for Identification of Occupational Hazards Using Their Characteristic Features in Hard Coal Mining
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. …”
Get full text
Article -
12
Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques
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. …”
Get full text
Article -
13
Uncertainty-Based Fusion Method for Structural Modal Parameter Identification
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. …”
Get full text
Article -
14
Microplastic in the gastrointestinal tract of Bombay duck (Harpadon nehereus) in the Patenga Beach of the Bay of Bengal, Bangladesh: occurrence, abundance, and physicochemical feat...
Published 2024-10-01“…The samples underwent digestion, density separation, measurement, microscopic observation, and quantification. …”
Get full text
Article -
15
Non-destructive Identification of Moldy Walnuts by Fusing X-Ray and Visual Image Features
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. …”
Get full text
Article -
16
-
17
Managing flash flood crises with cultural perspectives: A user-centric feature identification study.
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. …”
Get full text
Article -
18
-
19
-
20
Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features
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. …”
Get full text
Article