بدائل البحث:
automatic decrease » dramatic decrease (توسيع البحث)
aromatic decrease » dramatic decrease (توسيع البحث)
automatic decrease » dramatic decrease (توسيع البحث)
aromatic decrease » dramatic decrease (توسيع البحث)
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81
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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82
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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83
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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84
R project including metadata update.
منشور في 2025"…Without such amendments, the accumulation of contradictory species assignments within BINs will continue to rise and the reliability of specimen identification by BOLD will decrease.</p></div>…"
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85
Classes of errors and gaps in BOLD metadata.
منشور في 2025"…Without such amendments, the accumulation of contradictory species assignments within BINs will continue to rise and the reliability of specimen identification by BOLD will decrease.</p></div>…"
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86
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87
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88
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89
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90
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91
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92
Qualitative Examples of Corrected Sentences.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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93
Ablation Experiment Results.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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94
Meaning of Each Model.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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95
Overview of Related Work.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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96
Parameter Settings.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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97
Comparison with Advanced Models.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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98
Overall Model Architecture.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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99
Baseline Transformer model configuration.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"
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100
Comparison Results on CoNLL-2014 Dataset.
منشور في 2025"…This study proposes an enhanced model based on Bidirectional Encoder Representations from Transformers (BERT), combined with a dependency self-attention mechanism, to automatically detect and correct textual errors in the translation process. …"