There are several machine learning classifiers available now that may be utilized to
enhance network intrusion detection. In the literature, there are several suggested solutions …

The demand for cosmetics has grown recently, especially in the area of skincare, around the
globe. Consumers have traditionally relied on top-selling items or suggestions from the …

Efficient Routing Methods for Wireless Sensor Networks (WSN) majorly focuses on power
conservation. Clustering is employed to prolong the operational lifespan of WSNs. A single …

In wireless sensor network (WSN) monitoring systems, redundant data from sluggish
environmental changes and overlapping sensing ranges can increase the volume of data …

Drug repurposing processing plays a significant role in evaluating Drug Target identification
in the field of Drug discovery. Today Machine learning algorithms based automated systems …

Abstract Wireless Sensor Networks (WSNs) play a pivotal role in various applications,
including environmental monitoring, industrial automation, and healthcare. However, the …

Wireless Sensor Networks (WSNs) are networks composed of small, low-power and low-
cost sensor nodes which are densely deployed to monitor the physical environment …

Abstract Wireless Sensor Network (WSN) comprises numerous Sensor Nodes (SN)
scattered across a network to observe the atmospheric condition where the SN is the …

Wireless Sensor Networks (WSNs) have undergone rapid and significant evolution,
establishing themselves as a prominent and multifaceted technological domain. Their …

The survey paper offers an extensive investigation of Wireless Sensor Networks (WSN),
covering essential principles, practical uses, hardware components, communication …