بدائل البحث:
mapping algorithm » mining algorithm (توسيع البحث), learning algorithm (توسيع البحث), modeling algorithm (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
element mapping » elemental mapping (توسيع البحث), element modeling (توسيع البحث), argument mapping (توسيع البحث)
element based » engagement based (توسيع البحث)
data making » data backing (توسيع البحث), data mining (توسيع البحث), data tracking (توسيع البحث)
mapping algorithm » mining algorithm (توسيع البحث), learning algorithm (توسيع البحث), modeling algorithm (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
element mapping » elemental mapping (توسيع البحث), element modeling (توسيع البحث), argument mapping (توسيع البحث)
element based » engagement based (توسيع البحث)
data making » data backing (توسيع البحث), data mining (توسيع البحث), data tracking (توسيع البحث)
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Risk element category diagram.
منشور في 2025"…The LSTM algorithm can play a role in providing early warning, assisting decision-making, optimizing resources, and enhancing real-time monitoring in airport security assurance. …"
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Multi-material topology optimization using scaled boundary finite element method
منشور في 2025"…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …"
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Comparison of mAP curves in ablation experiments.
منشور في 2025"…Experimental results on a self-constructed dataset demonstrate the improved model efficacy, achieving 92.0% precision, 80.8% recall, 87.0% mean Average Precision (mAP@0.5), and 81.79 FPS detection speed. Compared to the original YOLOv8 model, the improved algorithm shows increases of 2.2% in precision, 0.6% in recall, and 2.0% in mAP@0.5, with a detection speed improvement of 65.48 FPS. …"
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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
منشور في 2025"…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …"
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Ranking of ML algorithms.
منشور في 2025"…Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. …"
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