Search alternatives:
process optimization » model optimization (Expand Search)
batch process » batch processing (Expand Search), search process (Expand Search), based process (Expand Search)
image object » small object (Expand Search), scale object (Expand Search)
process optimization » model optimization (Expand Search)
batch process » batch processing (Expand Search), search process (Expand Search), based process (Expand Search)
image object » small object (Expand Search), scale object (Expand Search)
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Pre-optimization iteration process.
Published 2025“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”
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Algorithms runtime comparison.
Published 2025“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”
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Solution results of different algorithms.
Published 2025“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”
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Performance of the proposed method for binary classification of lung cancer.
Published 2025Subjects: -
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Graphical comparison of binary class lung cancer classification with different approaches.
Published 2025Subjects: -
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Overview of the proposed simple CNN for extracting features from CT scan images.
Published 2025Subjects: -
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Melanoma Detection by Means of Multiple Instance Learning
Published 2021“…We present an application to melanoma detection of a multiple instance learning (MIL) approach, whose objective, in the binary case, is to discriminate between positive and negative sets of items. …”
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Association between crowding and oral habits.
Published 2025“…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Association between deep bite and oral habits.
Published 2025“…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Breakdown of participants by residential area.
Published 2025“…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Each variable for the dataset.
Published 2025“…Questionnaire data and tooth alignment images of the children were collected. The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Performance comparison between the proposed method and various TL models with SVM.
Published 2025Subjects: -
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Performance of the individual and proposed methods for multiclass classification of lung cancer.
Published 2025Subjects: