بدائل البحث:
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), design optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data derived » data driven (توسيع البحث)
primary data » primary care (توسيع البحث)
binary data » dietary data (توسيع البحث)
data based » data used (توسيع البحث)
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), design optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data derived » data driven (توسيع البحث)
primary data » primary care (توسيع البحث)
binary data » dietary data (توسيع البحث)
data based » data used (توسيع البحث)
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101
Accuracy vs. Epoch.
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
Segmentation results of the proposed model.
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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103
S1 Dataset -
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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104
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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105
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106
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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107
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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108
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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109
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110
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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111
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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112
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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113
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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114
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115
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116
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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117
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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118
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119
Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
منشور في 2022"…Our estimate of m is the maximizer of a marginal likelihood obtained by integrating the latent log-ORs out of the joint distribution of the parameters and observed data. We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation. …"
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120