A two‐level clustering approach is proposed for optimal design/expansion of a ground‐
based precipitation monitoring network (GPN). It harnesses the advantages of Infinite …

The expansion of growth in the generation of video data in various organizations causes an
urgent requirement for effectual video summarization methods. This paper devises a novel …

In deterministic graphs, an edge between two vertices denotes a certain link. In contrast, in
probabilistic graph, a link between two vertices merely implies the possibility of its existence …

Educational data mining (EDM) has emerged as a research area in recent years for
researchers all over the world from different and related research areas. The EDM obtained …

Clustering is a common approach for finding the intrinsic pattern structure embedded in
unlabeled data. In this paper, a new clustering algorithm, called black hole entropic fuzzy …

As the first attempt, this article considers how to provide a design methodology for style
clustering on stylistic data, where each cluster depends on both the similarities between …

Intrusion detection has emerged as one of the major challenges involved in the cloud
forensics. This work introduces an intrusion detection framework for the cloud environment …

Different from the existing TSK fuzzy system modeling methods, a novel zero-order TSK
fuzzy modeling method called Bayesian zero-order TSK fuzzy system (B-ZTSK-FS) is …

Lung cancer is one of the life taking disease and causes more deaths worldwide. Early
detection and treatment is necessary to save life. It is very difficult for doctors to interpret and …

Epilepsy is an abnormal function disease of movement, consciousness, and nerve caused
by abnormal discharge of brain neurons in the brain. EEG is currently a very important tool in …