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981
Indonesian Banking Stock Portfolio Optimization Based on Ridge Regression Prediction
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982
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983
Rolling window for detecting multiple Chan signatures to diagnose excessive water production
Published 2025-04-01“…Alaska oil wells’ public production data were analyzed illustrating each pattern’s manifestation. A successful interactive model with the rolling window feature was developed to track slope changes in Chan signatures, resulting in a 7–10% improvement in pattern detection accuracy compared to static features. …”
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984
RESOURCE USE EFFICIENCY OF TEMPERATE SILK COCOONS IN NORTH-WESTERN HIMALAYAN REGION OF KASHMIR VALLEY, JAMMU AND KASHMIR, INDIA
Published 2022-01-01“…The primary goal of this research was to determine the socioeconomic features of silk worm rearers, as well as to analyze and assess the resource use pattern of silk cocoon in Kashmir valley. …”
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985
3D mesh segmentation of historic buildings for architectural surveys
Published 2018-01-01“…In the architectural field, scanning a building is one of the first possible steps from which a 3D model can be obtained and can be later used for visualisation and/or feature analysis, thanks to computer-based pattern recognition tools. …”
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986
Decoding Facial Dissymmetry: A Comparative Morphological Study on Human Skulls and Facial Structures
Published 2025-02-01“…Facial asymmetry is a constant feature among individuals and is influenced by complex embryological development processes. …”
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987
From the Ocean to the Gulf: One Region’s Identity in the Context of Neomodernity
Published 2020-11-01“…The first pattern considers the WANA region in a traditional modernist sense as the Middle East, whereas the second one accentuates its premodern features and conceptualizes it as part of the Islamic world. …”
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988
Application of Image Processing Technology in the Diagnosis of Football Injury
Published 2022-01-01“…Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis. …”
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989
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990
Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors
Published 2025-01-01“…The current study also introduces this automatic classification by developing various machine learning (ML) and Convolutional Neural Network (CNN) models to highlight the features characterizing each pattern. …”
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991
RADIATION DIAGNOSIS OF RARE FORMS OF RESPIRATORY ORGAN SARCOIDOSIS
Published 2018-08-01“…In single cases, the CT pattern combined the features incompatible with the generally accepted classification (Stages 1 and 4 SRO); this was an offstage form. …”
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992
Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area
Published 2025-03-01“…TriNet comprises three specialized branches: ImgNet for spatial features extraction from images, POINet for functional density distribution features extraction from POI data, and TrajNet for spatiotemporal pattern features extraction from OD data. …”
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993
Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method
Published 2024-11-01“…Unlike single-source remote sensing image data, multisource remote sensing image data can provide complementary information for the same feature, promoting its recognition. The effective utilization of remote sensing image data from various sources can enhance the extraction of image features and improve the accuracy of feature recognition. …”
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994
Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease
Published 2022-12-01“…In this study, four proposed systems with different methodologies and materials for tracking the stages of AD development are presented. The first proposed system is to classify a data set using artificial neural networks (ANNs) and feed-forward neural networks (FFNN) based on the features extracted in a hybrid manner by using a combination of Local Binary Pattern (LBP), Discrete Wavelet Transform (DWT), and Gray Level Co-occurrence Matrix (GLCM) algorithms. …”
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995
Music Similarity Detection Through Comparative Imagery Data
Published 2025-07-01“…In this paper, we present a technical solution for training music similarity detection models through the use of comparative imagery data. With the aid of feature-based analysis and data visualization, we conducted experiments to analyze how different music features may contribute to the judgment of plagiarism. …”
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996
Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis
Published 2019-01-01“…The proposed approach includes image texture computation for image feature extraction and a piecewise linear stochastic gradient descent logistic regression (PL-SGDLR) used for pattern recognition. …”
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997
Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows
Published 2025-03-01“…Applied to New York City, UVPN leverages diverse urban morphological features such as streetscape attributes and land use patterns to predict continuous vitality distributions. …”
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998
Historical commentary in the Russian language lesson as a pedagogical genre
Published 2025-03-01“…Historical commentary on linguistic facts and patterns helps to understand the cause-and-effect relationships of those phenomena, the study of which is impossible without referring to the history of the development of the Russian language. …”
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999
Interpretable model based on MRI radiomics to predict the expression of Ki-67 in breast cancer
Published 2025-04-01“…Abstract This study aimed to develop an interpretable machine learning model that accurately predicts Ki-67 expression in breast cancer (BC) patients using a combination of dynamic-contrast enhanced magnetic resonance imaging (DCE-MRI) radiomics and clinical-imaging features. …”
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1000
Heat syndrome types prediction of traditional Chinese medicine in acute ischemic stroke through deep learning: a pilot study
Published 2025-08-01“…The model with the comprehensive feature dataset achieved an accuracy of 0.95, F1 score of 0.95, and AUC of 0.91 on the test set, exhibiting better performance overall compared to predictions based solely on TCM pattern characteristics or laboratory indicators. …”
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