بدائل البحث:
selective detection » sensitive detection (توسيع البحث), selective attention (توسيع البحث)
multi selective » multi objective (توسيع البحث), mutant selective (توسيع البحث)
selective detection » sensitive detection (توسيع البحث), selective attention (توسيع البحث)
multi selective » multi objective (توسيع البحث), mutant selective (توسيع البحث)
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Comparison of intrusion detection results.
منشور في 2025"…Genetic algorithm is utilized to solve and optimize the data, one-dimensional multi-scale convolutional neural network is combined with gated recurrent unit to improve the network intrusion detection model, and finally the detection and defense of industrial control network intrusion is completed. …"
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Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing...
منشور في 2025"…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …"
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Detection effect comparison on VisDrone2019.
منشور في 2025"…These characteristics impose high demands on detection algorithms in terms of fine-grained feature extraction, cross-scale fusion capability, and occlusion resistance.The YOLOv11s model has significant limitations in practical applications: its feature extraction module has a single semantic representation, the traditional feature pyramid network has limited capability to detect multi-scale targets, and it lacks an effective feature compensation mechanism when targets are occluded.To address these issues, we propose a UAV aerial small target detection algorithm named UAS-YOLO (Universal Inverted Bottleneck with Adaptive BiFPN and Separated and Enhancement Attention module YOLO), which incorporates three key optimizations. …"
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