بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
update algorithm » pass algorithm (توسيع البحث), data algorithms (توسيع البحث), ipca algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
element update » element data (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
update algorithm » pass algorithm (توسيع البحث), data algorithms (توسيع البحث), ipca algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
element update » element data (توسيع البحث)
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ATF-DF-WA Algorithm Experimental Code
منشور في 2025"…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.</li><li><b>txtvec.py</b> – This script is responsible for text vectorization, converting processed text into numerical representations suitable for machine learning algorithms.…"
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Autoclave Molding Scheduling in Aerospace Composite Materials Production Using an Extended Whale Optimization Algorithm
منشور في 2025"…<p dir="ltr">This dataset supports the manuscript entitled "Autoclave Molding Scheduling in Aerospace Composite Materials Production Using an Extended Whale Optimization Algorithm." …"
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Groupwise comparison of formalin- and PBS-injected mice’s DRN activity using ROI algorithm and whole frame averages.
منشور في 2024الموضوعات: "…morphological image processing…"
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Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms
منشور في 2025"…<p dir="ltr">Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms</p><p dir="ltr">This study describes an empirical evaluation of 24 machine learning models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines and Neural Networks using a highly imbalanced fraud dataset that reflects the real-world where the data was culled from. …"
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