Search alternatives:
distance detection » resistance detection (Expand Search), disease detection (Expand Search), distance perception (Expand Search)
multiple distance » multiple distinct (Expand Search), multiple instance (Expand Search), multiple instances (Expand Search)
distance detection » resistance detection (Expand Search), disease detection (Expand Search), distance perception (Expand Search)
multiple distance » multiple distinct (Expand Search), multiple instance (Expand Search), multiple instances (Expand Search)
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Overview of the proposed methodology for community detection in weighted networks.
Published 2024Subjects: -
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Performance evaluation of community detection methods on a set of LFR benchmarking networks.
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Relation of external and internal quality criteria by Spearman’s correlation coefficient.
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Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties
Published 2025“…In addition, with deep learning algorithms optimizing recognition, the system can accurately distinguish multiple human dynamic behaviors, such as walking, running, and jumping, within the aforementioned distances. …”
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Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties
Published 2025“…In addition, with deep learning algorithms optimizing recognition, the system can accurately distinguish multiple human dynamic behaviors, such as walking, running, and jumping, within the aforementioned distances. …”
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Qualitative Examples of Corrected Sentences.
Published 2025“…To validate the model’s effectiveness, the performance of the baseline model and the improved model is compared using multiple evaluation metrics, including accuracy, recall, F1 score, edit distance, Bilingual Evaluation Understudy (BLEU) score, and average processing time. …”
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Ablation Experiment Results.
Published 2025“…To validate the model’s effectiveness, the performance of the baseline model and the improved model is compared using multiple evaluation metrics, including accuracy, recall, F1 score, edit distance, Bilingual Evaluation Understudy (BLEU) score, and average processing time. …”
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Meaning of Each Model.
Published 2025“…To validate the model’s effectiveness, the performance of the baseline model and the improved model is compared using multiple evaluation metrics, including accuracy, recall, F1 score, edit distance, Bilingual Evaluation Understudy (BLEU) score, and average processing time. …”
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Overview of Related Work.
Published 2025“…To validate the model’s effectiveness, the performance of the baseline model and the improved model is compared using multiple evaluation metrics, including accuracy, recall, F1 score, edit distance, Bilingual Evaluation Understudy (BLEU) score, and average processing time. …”
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Parameter Settings.
Published 2025“…To validate the model’s effectiveness, the performance of the baseline model and the improved model is compared using multiple evaluation metrics, including accuracy, recall, F1 score, edit distance, Bilingual Evaluation Understudy (BLEU) score, and average processing time. …”