Search alternatives:
marked decrease » marked increase (Expand Search)
based decrease » caused decreased (Expand Search), based defense (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
module based » made based (Expand Search)
marked decrease » marked increase (Expand Search)
based decrease » caused decreased (Expand Search), based defense (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
module based » made based (Expand Search)
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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
Published 2025“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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MGPC module.
Published 2025“…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
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DTADH module.
Published 2025“…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
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MFDPN module.
Published 2025“…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
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Enhanced multi-component module.
Published 2025“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
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Multiple Chinese flowering cabbage without leaf occlusion detection and localization.
Published 2024Subjects: -
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