Results 21 to 30 of about 5,385 (118)
传统方法在进行±1 100 kV输电线路复合绝缘子缺陷多源特征及模式识别时,去噪效果不佳,无法提取准确的缺陷特征,模式识别用时较长。为此,提出一种新的方法解决以上问题。对输电线路复合绝缘子图像进行均衡化处理,实现图像增强;采用均值滤波方法实现图像去噪,并在二维熵的基础上完成图像分割。提取直线特征、斑点特征和分块统计特征构建复合绝缘子缺陷的特征集,应用BPSO算法融合直线特征、斑点特征与分块统计特征,获得复合绝缘子缺陷特征,构建输电线路复合绝缘子缺陷模式识别模型,实现复合绝缘子缺陷特征及模式的识别 ...
王建, 舒胜文, 金铭, 李勇杰
doaj
Abstract Objectives To describe how Registered Nurses make use of a Clinical Decision Support System to triage calls to emergency medical dispatch centres, from the perspective of professional autonomy. Design The study had a descriptive design with a qualitative inductive approach.
Inger K. Holmström +4 more
wiley +1 more source
针对视网膜疾病种类繁多、病灶位置不固定等特点,提出一种基于深度卷积集成网络的视网膜多种疾病筛查和识别方法。首先,根据视网膜眼底图像裁剪掉两侧黑色边框,并去除图像中的噪声,以降低对眼底图像的干扰,提高图像的清晰度;之后,通过对处理完成的视网膜眼底图像使用裁剪、旋转等数据增强方法来扩增数据集;再建立基于深度卷积神经网络的模型进行特征提取,并在网络模型微调后完成视网膜疾病筛查和识别任务,最终将多个模型的结果进行集成。实验结果表明,该方法针对视网膜疾病的筛查和识别的问题取得了较好的效果 ...
王禾扬, 杨启鸣, 朱旗
doaj
Multimodal Deep Learning‐Assisted Microstructural Evaluation System for Sintered NdFeB Magnets
ABSTRACT The performance of sintered NdFeB magnets, especially coercivity, is critically determined by their complex microstructure. However, a quantitative microstructural evaluation system (MES) is much needed but has long been missing in the community.
Zihao Wang +8 more
wiley +1 more source
ABSTRACT Objective To identify prenatal predictors of tuberous sclerosis complex (TSC) in fetuses with one or more cardiac rhabdomyomas (CR), evaluate an integrated multimodal diagnostic workflow using fetal magnetic resonance imaging (MRI) and trio whole‐exome sequencing (trio‐WES) and characterize perinatal outcomes.
X. Cai +8 more
wiley +1 more source
Tri‐stereoscopic PeruSat‐1 imagery enables the simultaneous generation of 0.70 m‐resolution topography and spatially distributed Manning roughness maps, achieving 0.434 m vertical accuracy. Integrated into HEC‐RAS, these products provide consistent, high‐resolution inputs that improve hydraulic modelling and flood risk assessment in data‐scarce river ...
Jorge L. Miranda‐Pita +3 more
wiley +1 more source
针对以传统人工方式巡检电网工作效率低、危险性高、成本大,而现行基于图像处理技术的自动巡检方案针对性差、识别精度低的问题,本研究基于图像识别技术及相关算法,提出了一种针对绝缘子缺陷、爆裂故障的检测方法。该方法借助形态学滤波、Otsu方法、Snake模型、免疫遗传算法、椭圆拟合以及连通区域等技术,对绝缘子图像进行预处理、轮廓提取和数目计算,从而实现对绝缘子故障的精确检测。实际测试与分析结果表明,该方法能够较好地识别绝缘子故障,识别准确率能够达到98.5%,且具有理想的识别速度。
刘国伟, 何锦雄, 杨永
doaj
ABSTRACT AI‐generated images have become so good in recent years that individuals often cannot distinguish them from ‘real’ images. This development, combined with the rapid spread of AI‐generated content online, creates a series of societal risks. Watermarking, a technique that involves embedding information within the content to indicate their AI ...
Bram Rijsbosch +2 more
wiley +1 more source
ABSTRACT The development of neuromorphic electronics with visual perception and adaptive capability is highly desirable for advancing artificial vision systems. Herein, we have demonstrated a dual‐plasticity adaptive phototransistor based on IGZO nanofibers that exhibits the perception and dynamic adaptation behavior of rod and cone cells to varying ...
Shanshan Jiang +5 more
wiley +1 more source
ABSTRACT The edge deployment of artificial intelligence has driven the exploitation of compact, energy‐efficient information processing systems that integrate sensing, memory, and multi‐task processing functions. However, conventional vision systems suffer from significant energy/time overhead, extra hardware costs, and an unaffordable algorithm ...
Shanshan Jiang +6 more
wiley +1 more source

