بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
involve learning » involves cleaning (توسيع البحث), involved scanning (توسيع البحث)
data processing » image processing (توسيع البحث)
te algorithm » tide algorithm (توسيع البحث), new algorithm (توسيع البحث), de algorithms (توسيع البحث)
element te » element _ (توسيع البحث), element g (توسيع البحث), element data (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
involve learning » involves cleaning (توسيع البحث), involved scanning (توسيع البحث)
data processing » image processing (توسيع البحث)
te algorithm » tide algorithm (توسيع البحث), new algorithm (توسيع البحث), de algorithms (توسيع البحث)
element te » element _ (توسيع البحث), element g (توسيع البحث), element data (توسيع البحث)
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Training process of HFKG-RFE algorithm.
منشور في 2025"…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …"
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Specific hyperparameters optimized for each non-ANN model in the Nested Grid Search process.
منشور في 2024الموضوعات: -
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State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing
منشور في 2025"…The Crayfish Optimization Algorithm with a Reverse Wheel Strategy is applied for an effective feature segmentation, where the most relevant features are segmented. …"
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Research progress on anomaly target detection algorithms for hyperspectral imagery
منشور في 2025"…In particular, because anomaly target detection does not require any prior information, it has become one of the key technologies and research hotspots in HSI processing and information extraction. Through systematic sorting and analysis, this paper summarizes the existing anomaly target detection algorithms in detail, and evaluates the key issues involved in HSI-ATD, future technological development directions (such as deep learning, multimodal, and real-time processing, etc), as well as the problems existing in the algorithms. …"
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Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries"
منشور في 2025الموضوعات: "…Artificial intelligence - Data processing…"
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<b>Real-Time Classroom Emotion Analysis Using Machine and Deep Learning for Enhanced Student Learning</b>
منشور في 2025الموضوعات: "…Artificial intelligence -- Data processing…"
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Comparison of algorithm performance aesults.
منشور في 2025"…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …"