Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
shape decrease » shape increases (Expand Search), small decrease (Expand Search), step decrease (Expand Search)
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MXene/Bi<sub>2</sub>O<sub>3</sub> Nanocomposites as Supercapacitors for Portable Electronic Devices
Published 2025Subjects: -
1189
S1 File -
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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1190
Confusion matrix for ClinicalBERT model.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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1191
Confusion matrix for LastBERT model.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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Student model architecture.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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1193
Configuration of the LastBERT model.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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1194
Confusion matrix for DistilBERT model.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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ROC curve for LastBERT model.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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Sample Posts from the ADHD dataset.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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1197
Top-level overview for ADHD classification study.
Published 2025“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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