An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images [0.03%]
用于从放射图像早期筛查COVID-19的无监督模糊聚类方法
Weiping Ding,Shouvik Chakraborty,Kalyani Mali et al.
Weiping Ding et al.
A global pandemic scenario is witnessed worldwide owing to the menace of the rapid outbreak of the deadly COVID-19 virus. To save mankind from this apocalyptic onslaught, it is essential to curb the fast spreading of this dreadful virus. Mo...
New Linguistic Description Approach for Time Series and its Application to Bed Restlessness Monitoring for Eldercare [0.03%]
一种新的时间序列语言描述方法及其在养老服务中监测老年人卧床活动状态中的应用研究
Carmen Martinez-Cruz,Antonio J Rueda,Mihail Popescu et al.
Carmen Martinez-Cruz et al.
Time series analysis has been an active area of research for years, with important applications in forecasting or discovery of hidden information such as patterns or anomalies in observed data. In recent years, the use of time series analys...
A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring [0.03%]
一种基于模糊逻辑的图像评分的启发式神经网络结构
Cheng Kang,Xiang Yu,Shui-Hua Wang et al.
Cheng Kang et al.
Traditional deep learning methods are sub-optimal in classifying ambiguity features, which often arise in noisy and hard to predict categories, especially, to distinguish semantic scoring. Semantic scoring, depending on semantic logic to im...
Multiscale Opening of Conjoined Fuzzy Objects: Theory and Applications [0.03%]
连接型模糊物体的多尺度开算子理论及其应用研究
Punam K Saha,Subhadip Basu,Eric A Hoffman
Punam K Saha
Theoretical properties of a multi-scale opening (MSO) algorithm for two conjoined fuzzy objects are established, and its extension to separating two conjoined fuzzy objects with different intensity properties is introduced. Also, its applic...
Jonathon K Parker,Lawrence O Hall
Jonathon K Parker
Many algorithms designed to accelerate the Fuzzy c-Means (FCM) clustering algorithm randomly sample the data. Typically, no statistical method is used to estimate the subsample size, despite the impact subsample sizes have on speed and qual...