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Suggested Topics within your search.
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Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model
Published 2025-01-01“…Artificial intelligence extends beyond pattern recognition, planning, and problem-solving, particularly in the realm of machine learning, where deep learning frameworks play a pivotal role. …”
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GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression
Published 2025-01-01“…Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing methods exhibiting limitations in interference pattern coverage, feature extraction, and algorithm robustness. …”
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Chemometric analysis of ethoxylated polymer products using extracted MALDI-TOF-MS peak distribution features.
Published 2025-01-01“…We show that overlapping peak distributions from the different ethoxylated constituents of natural raw materials can be resolved, so that features of the individual distributions (m/z at distribution maximum, intensity at the distribution maximum, width of the distribution at half height, and ratio of the distribution to the major peak distribution) can be extracted and used with statistical pattern recognition techniques to study ethoxylated products. …”
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The LETBP feature descriptor based fish species classification using Kepler optimization with Extreme Learning Machine
Published 2025-03-01“…To improve the quality of the images a basic CLAHE image enhancement technique is applied. Then, the novel feature descriptor method called local energy triangular binary pattern (LETBP) is proposed to extract features from the images, which effectively extracts the pixel information from all directions. …”
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Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes
Published 2025-04-01“…Leveraging the strengths of the PointNet+ + structure and attention mechanism, a fresh feature extraction module for point clouds is devised, ensuring efficient feature extraction and matching. …”
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A Quantitative Method for Characterizing the Spatial Layout Features of Ethnic Minority Rural Settlements in Southern China
Published 2025-05-01“…On this basis, the spatial layout features of rural settlement are extracted, and corresponding characteristic maps are constructed. …”
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Perplexing Case of IgG4-Related Mastitis: Hitherto Undescribed Contrast-Enhanced Mammography Features
“…To the best of our knowledge, this case is the first report in the literature to illustrate the CEM features of IgG4-RM, offering novel imaging insights into this underrecognized entity.…”
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An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features
Published 2024-12-01“…Moreover, the proposed study covered four different aspects of student-written essays and extracted cohesion features via sentence connectivity, coherence via sentence relatedness, statistical lexical features via the Term Frequency (TF)-Inverse Document Frequency (IDF) method, and discourse macrostructural features via calculating the unique pattern of each essay. …”
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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning
Published 2025-02-01“…In current research and applications, traditional machine learning and deep learning models always focus on prediction and pattern recognition. In contrast, causal machine learning goes a step further by revealing causal relationships between different variables. …”
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Clinical features of patients with dysthymia in a large cohort of Han Chinese women with recurrent major depression.
Published 2013-01-01“…<h4>Results</h4>We examined the clinical features in 5,950 Han Chinese women with MDD between 30-60 years of age across China. …”
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Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale
Published 2025-01-01“…This study was conducted in two regions with distinct geographical features: the Yangtze River Delta Region (YRDR) and the Loess Plateau Region (LPR). …”
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Unraveling Meteorological Dynamics: A Two-Level Clustering Algorithm for Time Series Pattern Recognition with Missing Data Handling
Published 2025-05-01“…The first level involves the clustering of the dominant features of the time series (e.g., similar seasonal patterns) by employing K-means, while the second one produces clusters based on secondary features. …”
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m5C regulator‐mediated methylation modification patterns and tumor microenvironment infiltration characteristics in acute myeloid leukemia
Published 2024-01-01“…Thereafter, we associated those identified modification patterns with TME cell infiltration features. Additionally, stepwise regression and LASSO Cox regression analyses were conducted for quantifying patterns of m5C modification among AML cases to establish the m5C‐score. …”
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