Wireless sensor networks are widely used in monitoring and managing environmental
factors like air quality, humidity, temperature, and pressure. The recent works show that …

In wireless sensor networks (WSN), most sensor nodes are powered by batteries with limited
power, meaning the quality of the network may deteriorate at any time. Therefore, to reduce …

In the era of Web 2.0, the data are growing immensely and is assisting E-commerce
websites for better decision-making. Collaborative filtering, one of the prominent …

The mass machine type communication (mMTC) in 5G requires the technical support of the
wireless sensor network (WSN). Compared with homogeneous WSNs, heterogeneous …

Wireless sensor networks are constrained by limited energy resources of sensor nodes,
which limits the efficiency and lifetime of the network. Clustering is a widely adopted strategy …

The automated quantification of different cell structures available in histopathological
images is a challenging task due to the presence of complex background structures …

Data clustering is one of the important tool in data analysis which partitions the dataset into
different groups based on similarity and dissimilarity measures. Clustering is still a NP-hard …

Unsupervised data classification (data clustering) is one of the mostly used data analysis
methods which groups the unlabeled data into identical clusters (groups). Classical …

This paper presents a new and comprehensive power-aware test scheme compatible with a
test compression environment. The key contribution of the paper is a flexible test application …

Collaborative filtering recommends items on the principle of similarity. The effectiveness of
the similarity is highly dependent on the performance of the clustering algorithm. This paper …