بدائل البحث:
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), guided optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
sample design » sampling design (توسيع البحث)
data derived » data driven (توسيع البحث)
final sample » fecal samples (توسيع البحث), total sample (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), guided optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
sample design » sampling design (توسيع البحث)
data derived » data driven (توسيع البحث)
final sample » fecal samples (توسيع البحث), total sample (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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101
SimSPPF module structure.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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102
mAP@0.5 results.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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103
YOLOv8n network architecture diagram.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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104
Radar parameters.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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105
Confusion matrix of the improved model.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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106
Improved network structure of the YOLOv8n model.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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107
Plot of improved model output results.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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108
Results of ablation experiments.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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109
Image of the ReLU function.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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110
Plot of baseline model output results.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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111
Comparative test results.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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112
Recall results.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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113
mAP@0.5:0.95 results.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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114
Precision results.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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115
SimConv structure.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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116
Table of training hyperparameters.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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117
Diagram of the original model confusion matrix.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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118
Orthogonal experiment scheme and results.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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119
Comparison of precision of various proxy models.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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120
Comparison between actual and predicted values.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"