بدائل البحث:
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary mapk » binary mask (توسيع البحث), binary image (توسيع البحث)
data based » data used (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary mapk » binary mask (توسيع البحث), binary image (توسيع البحث)
data based » data used (توسيع البحث)
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101
CSCO’s flowchart.
منشور في 2024"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"
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102
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103
Dendrogram of the stock prices.
منشور في 2025"…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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104
Descriptive statistics on stock prices.
منشور في 2025"…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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105
Correlation heatmap of the principal components.
منشور في 2025"…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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106
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107
The robustness test results of the model.
منشور في 2025"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. The data selected is mainly from RESSET/DB, covering the issuance, trading, and rating data of fixed-income products such as bonds, government bonds, and corporate bonds, and provides basic information, net value, position, and performance data of funds. …"
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108
Construction process of RF.
منشور في 2025"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. The data selected is mainly from RESSET/DB, covering the issuance, trading, and rating data of fixed-income products such as bonds, government bonds, and corporate bonds, and provides basic information, net value, position, and performance data of funds. …"
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109
All online review text data.
منشور في 2025"…Based on the comprehensive perspective of typology and spatio-temporal dynamic evolution, this study not only provides empirical support for museum space optimization, but also provides new ideas and strategies for functional research and methodological insights of public spaces.…"
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110
Data used in this study.
منشور في 2024"…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
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111
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112
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113
DEM error verified by airborne data.
منشور في 2024"…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
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114
Error of ICESat-2 with respect to airborne data.
منشور في 2024"…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
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115
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116
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117
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118
Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx
منشور في 2025"…Objective<p>This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning. …"
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119
Data Sheet 1_TBESO-BP: an improved regression model for predicting subclinical mastitis.pdf
منشور في 2025"…In this study, an enhanced neural backpropagation (BP) network model for predicting somatic cell count is introduced. The model is based on TBESO (Multi-strategy Boosted Snake Optimizer) and utilizes monthly Dairy Herd Improvement (DHI) data to forecast the status of subclinical mastitis in cows.…"
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120