بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
element » elements (توسيع البحث)
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1101
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Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network
منشور في 2025"…Performance of the PACDNN-COA-BTI-MRI approach attains 16.7%, 20.6% and 30.5% higher accuracy; 19.9%, 22.2% and 30.1% higher recall and 16.7%, 21.9% and 30.8% higher precision when analysed through existing techniques brain tumor identification using MRI-Based Deep Learning Approach for Efficient Classification of Brain Tumor (MRI-DLA-ECBT), MRI-Based Brain Tumor Detection using Convolutional Deep Learning Methods and Chosen Machine Learning Techniques (MRI-BTD-CDMLT) and MRI-Based Brain Tumor Image Detection using CNN-Based Deep Learning Method (MRI-BTID-CNN) methods, respectively.…"
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1106
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Table 1_Association of weight-adjusted waist index and body mass index with chronic low back pain in American adults: a retrospective cohort study and predictive model development based on machine learning algorithms (NHANES 2009–2010).docx
منشور في 2025"…Six machine learning algorithms were employed to predict CLBP occurrence and identify the optimal algorithm.…"
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1108
Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning
منشور في 2025"…<h3><b>Overview</b></h3><p dir="ltr">This dataset supports the findings of the research titled <i>“Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning.”</i><br>The study presents a fully automated framework that digitises complex electrical diagrams through two main components:</p><ol><li><b>Symbol Recognition:</b> A YOLOv8-based deep learning model trained to recognise 30 electrical symbol classes in industrial diagrams.…"
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1109
PLOS Open Science Indicators
منشور في 2025"…The v10 dataset focuses on detection of five Open Science practices by analysing the XML of published research articles:</p><ul><li>Sharing of research data, in particular data shared in data repositories</li><li>Sharing of code</li><li>Posting of preprints</li><li>Sharing of protocols</li><li>Sharing of study registrations</li></ul><p dir="ltr">The dataset provides data and code generation and sharing rates, the location of shared data and code (whether in Supporting Information or in an online repository). …"
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1110
Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf
منشور في 2025"…An evaluation of chosen (learning) algorithms for single and dual factor optimization was performed. …"
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1111
Model-Free UAV Navigation in Unknown Complex Environments Using Vision-Based Reinforcement Learning
منشور في 2025"…To overcome these limitations and enable obstacle-avoidance navigation for UAVs, this paper proposes an end-to-end autonomous navigation algorithm that integrates visual perception with reinforcement learning, capable of planning optimal navigation paths without requiring high-precision models. …"
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1112
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Supplementary file 1_Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway.pdf
منشور في 2025"…Therefore, we tested the potential of new deep learning-based image-matching algorithms for deriving glacier surface velocities across the ablation area of a glacier with strong spatial variability in surface velocities (<5 m/yr to >100 m/yr) and substantial changes in surface properties between image acquisitions. …"
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Table 2_Construction of a prediction model for sarcopenic obesity based on machine learning.docx
منشور في 2025"…The area under the curve (AUC) values of the test set for the Random forest (RF), naive Bayes (NB), Light Gradient Boosting Machine (LightGBM), k-nearest neighbor algorithm (KNN), and eXtreme Gradient Boosting (XGBoost) models were recorded as 0.839, 0.815, 0.808, 0.794, and 0.798, respectively. …"
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Table 1_Construction of a prediction model for sarcopenic obesity based on machine learning.docx
منشور في 2025"…The area under the curve (AUC) values of the test set for the Random forest (RF), naive Bayes (NB), Light Gradient Boosting Machine (LightGBM), k-nearest neighbor algorithm (KNN), and eXtreme Gradient Boosting (XGBoost) models were recorded as 0.839, 0.815, 0.808, 0.794, and 0.798, respectively. …"
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1120
Table 1_Machine-learning algorithm to predict home delivery after antenatal care visit among reproductive age women in East Africa.docx
منشور في 2025"…Nine supervised machine-learning algorithms were applied, following Yufeng Guo's steps for supervised learning. …"