بدائل البحث:
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
mining algorithm » finding algorithm (توسيع البحث), making algorithm (توسيع البحث), training algorithms (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
mining algorithm » finding algorithm (توسيع البحث), making algorithm (توسيع البحث), training algorithms (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
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1201
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1202
Steps to the final sample.
منشور في 2025"…<div><p>One major obstacle to advancing research and treatment for major psychiatric disorders is their substantial within-diagnosis heterogeneity in patient lifetime trajectories. Adapted research methods such as cluster analysis to define subgroups of patients are currently used. …"
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1203
The architecture of the SE-multi-input CNN model.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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1204
Confusion matrix for the Multi-input CNN model.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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1205
Confusion matrices for single-input CNN models.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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1206
Confusion matrix for the Multi-input CNN model.
منشور في 2025"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"
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1207
Intuitionistic fuzzy number .
منشور في 2024"…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …"
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1208
Experimental message into the integer.
منشور في 2024"…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …"
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1209
Triangular .
منشور في 2024"…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …"
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1210
Graphical representation of triangular 0.6- .
منشور في 2024"…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …"
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1211
Graphical representation of .
منشور في 2024"…In addition, the practical effect of the proposed methods is also investigated in this study. A mathematical mechanism is presented to implement the t-intuitionistic fuzzy RSA algorithm. …"
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1212
Structure of Dense Block.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"
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1213
Design of DenseNet.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"
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1214
Assessment Using Dataset 2.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"
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1215
Analysis of Recent Research Work.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"
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1216
Assessment Using Dataset 1.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"
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1217
Definition for Assessment Measures.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"
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1218
Convergence Analysis.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"
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1219
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1220
Proposed Thorax Disease Detection Model.
منشور في 2025"…Significant features are extracted from the images using an Enhanced Auto-Encoder (EnAE) model, which combines a stacked auto-encoder architecture with an attention module to enhance feature representation and classification accuracy. …"