بدائل البحث:
largest decrease » marked decrease (توسيع البحث)
values decrease » values increased (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
aui values » auc values (توسيع البحث), ani values (توسيع البحث), ari values (توسيع البحث)
c largest » _ largest (توسيع البحث), c large (توسيع البحث)
ai larger » ai large (توسيع البحث), a large (توسيع البحث), _ larger (توسيع البحث)
largest decrease » marked decrease (توسيع البحث)
values decrease » values increased (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
aui values » auc values (توسيع البحث), ani values (توسيع البحث), ari values (توسيع البحث)
c largest » _ largest (توسيع البحث), c large (توسيع البحث)
ai larger » ai large (توسيع البحث), a large (توسيع البحث), _ larger (توسيع البحث)
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Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations
منشور في 2024"…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …"
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Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations
منشور في 2024"…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …"
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17
Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations
منشور في 2024"…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …"
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18
Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations
منشور في 2024"…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …"
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A novel RNN architecture to improve the precision of ship trajectory predictions
منشور في 2025"…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …"