بدائل البحث:
boosting algorithm » routing algorithm (توسيع البحث), twisting algorithm (توسيع البحث), modeling algorithm (توسيع البحث)
element boosting » element bonding (توسيع البحث), element modeling (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
study algorithm » wsindy algorithm (توسيع البحث), td3 algorithm (توسيع البحث), seu algorithm (توسيع البحث)
element study » relevant study (توسيع البحث), present study (توسيع البحث), recent study (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
boosting algorithm » routing algorithm (توسيع البحث), twisting algorithm (توسيع البحث), modeling algorithm (توسيع البحث)
element boosting » element bonding (توسيع البحث), element modeling (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
study algorithm » wsindy algorithm (توسيع البحث), td3 algorithm (توسيع البحث), seu algorithm (توسيع البحث)
element study » relevant study (توسيع البحث), present study (توسيع البحث), recent study (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
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101
Comparison of calculated mass attenuations using energy spectrum and their representative energies at H<sub>2</sub>O, PMMA, and cortical bone (ICRP).
منشور في 2025الموضوعات: "…chemical constituent elements…"
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102
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103
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104
Code snippet from “Netty/Buffer” Maven artefact.
منشور في 2025"…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …"
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105
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106
Overall workflow of this study.
منشور في 2025"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"
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107
Model code
منشور في 2025"…The latter provides insights into the inherent texture complexity of the image data due to the lossless coding. For classification of leaf surfaces from tree species based on the computed features, we utilized the k-nearest neighbors (kNN) algorithm with k=3. …"
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108
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109
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110
Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf
منشور في 2025"…From each included study, we extracted data on design, algorithms used for outcome identification (sources, coding systems, codes, time criteria/thresholds), and whether significant associations with SARS-CoV-2 infection were reported.…"
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111
Code snippet from “Apache Dubbo” GitHub project.
منشور في 2025"…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …"
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112
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113
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114
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115
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116
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117
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118
Element model generation method with geometric distribution errors
منشور في 2025"…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …"
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119
Experimental parameter configuration.
منشور في 2025"…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. The enhanced features include: first, integrating FasterBlock module into the backbone and neck networks of YOLOv8 to, boost the model’s feature extraction capability and reduce complexity, thereby achieving a balance between detection efficiency and accuracy. …"
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120
FLMP-YOLOv8 identification results.
منشور في 2025"…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. The enhanced features include: first, integrating FasterBlock module into the backbone and neck networks of YOLOv8 to, boost the model’s feature extraction capability and reduce complexity, thereby achieving a balance between detection efficiency and accuracy. …"