بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
complement cnn » complement c3 (توسيع البحث), complement c4d (توسيع البحث), complement c5 (توسيع البحث)
complement box » complement low (توسيع البحث), complement _ (توسيع البحث), complement 5a (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
box algorithm » best algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
complement cnn » complement c3 (توسيع البحث), complement c4d (توسيع البحث), complement c5 (توسيع البحث)
complement box » complement low (توسيع البحث), complement _ (توسيع البحث), complement 5a (توسيع البحث)
cnn algorithm » mean algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
box algorithm » best algorithm (توسيع البحث), _ algorithm (توسيع البحث), ii algorithm (توسيع البحث)
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121
Single agent and multi-agents tasks for <i>LazyAct</i>.
منشور في 2025"…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. Code is available here <a href="https://www.dropbox.com/scl/fo/wyoqo6q9gyt86zobfgbvx/h?…"
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122
Network architectures for multi-agents task.
منشور في 2025"…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. Code is available here <a href="https://www.dropbox.com/scl/fo/wyoqo6q9gyt86zobfgbvx/h?…"
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123
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124
Generative Deep Learning-Aided Design of Flexible Molecular Crystals
منشور في 2025"…The inferences are complemented by case studies that employed CrystalGAN and CNN to generate molecules that are expected to crystallize as flexible crystals with improved tableting properties. …"
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125
Generative Deep Learning-Aided Design of Flexible Molecular Crystals
منشور في 2025"…The inferences are complemented by case studies that employed CrystalGAN and CNN to generate molecules that are expected to crystallize as flexible crystals with improved tableting properties. …"
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126
Subject demographics.
منشور في 2024"…According to the “Triple Code Model” in numerical cognition, distinct neural substrates encode the processing of visual, auditory, and non-symbolic numerical representations. …"
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127
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128
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129
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130
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131
<b>Force-Position-Speed Planning and Roughness rediction for Robotic Polishing</b>
منشور في 2025"…The improved dung beetle optimization algorithm, back propagation neural network, finite element analysis and response surface method provide a strong guarantee for the selection of robotic polishing process parameters. …"
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132
Single neurons in the human substantia nigra encode social learning signals
منشور في 2025"…Scripts for carrying out neural analyses are in the neural folder. Note you will also need to download the OSORT offline sorting algorithm, which is linked as a related work here and also cited in the paper.…"
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133
Research on Olympic medal prediction based on GA-BP and logistic regression model Extended data
منشور في 2025"…</p><p dir="ltr">Method:</p><p dir="ltr">This article uses the GA-BP algorithm model, combined withgenetic algorithm (GA) and backpropagationneural network (BPNN),to optimize the weightsand bias parameters of the BP neural networkusing the global search capability of genetic algorithm, thereby improvingtraining efficiency and prediction performance.By estimating the number of Olympic gold medals and total medals, verifying the accuracy of the model, and predicting the medal table forthe 2028 Los Angeles Olympics. …"
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134
<b>R</b><b>esidual</b> <b>GCB-Net</b>: Residual Graph Convolutional Broad Network on Emotion Recognition
منشور في 2025"…It can accurately reflect the emotional changes of the human body by applying graphical-based algorithms or models. EEG signals are nonlinear signals. …"
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135
Unsupervised Concept Discovery for Deep Weather Forecast Models with High-Resolution Radar Data
منشور في 2025"…We extract rainfall patterns semi-automatically from a trained deep neural network model, such as convectional, frontal, orographic, and cyclonic precipitations. …"
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136
Imaging platform.
منشور في 2025"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"
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137
KAN-GLNet network model.
منشور في 2025"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"
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138
Reconstructed canola point cloud samples.
منشور في 2025"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"
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139
Training loss and accuracy curves of KAN-GLNet.
منشور في 2025"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"
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140
Hardware and software specifications.
منشور في 2025"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"