بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
backing algorithm » tracking algorithm (توسيع البحث), making algorithm (توسيع البحث), tracking algorithms (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
backing algorithm » tracking algorithm (توسيع البحث), making algorithm (توسيع البحث), tracking algorithms (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
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Algorithmic experimental parameter design.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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Spatial spectrum estimation for three algorithms.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
منشور في 2025"…This research presents Data-Driven Intrusion Detection System in Internet of Things utilizing Optimized Bayesian Regularization-Back Propagation Neural Network (DIDS-BRBPNN-BBWOA-IoT) to overcome these issues. …"
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Risk element category diagram.
منشور في 2025"…This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …"
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Evaluating the Efficacy of Different Machine Learning Methods to Classify Cancer Data.
منشور في 2025الموضوعات: -
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Acceleration data of African white-backed vultures with behaviour labels
منشور في 2024"…<p dir="ltr">This dataset is part of the publication "Death detector: Using vultures as sentinels to detect carcasses by combining bio-logging and machine learning" and was used to train machine learning algorithms for behaviour classification.…"
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Types of machine learning algorithms.
منشور في 2024"…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"