بدائل البحث:
co detection » cea detection (توسيع البحث), ckd detection (توسيع البحث), bot detection (توسيع البحث)
multiple co » multiple cell (توسيع البحث)
co detection » cea detection (توسيع البحث), ckd detection (توسيع البحث), bot detection (توسيع البحث)
multiple co » multiple cell (توسيع البحث)
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Comparison Results on CoNLL-2014 Dataset.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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S1 File -
منشور في 2024"…After integrating Senescence-Related Genes (SRGs) from multiple established databases, differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms were applied to identify predictive SRGs (pSRGs). …"
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6 data sets included in this study.
منشور في 2024"…After integrating Senescence-Related Genes (SRGs) from multiple established databases, differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms were applied to identify predictive SRGs (pSRGs). …"
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Characteristics of participant (n = 5,736).
منشور في 2025"…</p><p>Methods</p><p>Six highly reactive Bp antigens, CPS I, LPS types A and B, HCP1, AhpC, and GroEL, were characterized using the protein BLAST (BLASTp) algorithm against the NCBI non-redundant protein database to evaluate conservation and specificity. …"
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Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home
منشور في 2025"…To circumvent subjective errors and enable real-time data collection, we further developed a mobile health platform based on the YoLov8 image recognition algorithm to ensure rapid and precise result output. …"
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Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home
منشور في 2025"…To circumvent subjective errors and enable real-time data collection, we further developed a mobile health platform based on the YoLov8 image recognition algorithm to ensure rapid and precise result output. …"
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Supplementary file 1_Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM.docx
منشور في 2025"…Further, the optimal features are chosen by using the Cauchy distribution-based Seagull Optimization Algorithm (CSOA). Next, the phishing attack is detected using the Explainable AI SERF CoLU Long Short Term Memory (EAI-SC-LSTM) model. …"
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Qualitative Examples of Corrected Sentences.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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Ablation Experiment Results.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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Meaning of Each Model.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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Overview of Related Work.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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Parameter Settings.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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Comparison with Advanced Models.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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Overall Model Architecture.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"
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Baseline Transformer model configuration.
منشور في 2025"…During model training, the Adam optimization algorithm is employed, and the model’s performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …"