Wireless Sensor Networks (WSNs) have a very large number of applications in different
domains of the industry. One of those applications is the industrial use of WSN. Industrial …

In this paper we have used principal component analysis (PCA) tool by adding mathematical
rigor to provide explicit solution for gender recognition by extracting feature vector. We will …

The large compute load and memory footprint of modern deep neural networks motivates
the use of accelerators for high through- put deployments in application spanning multiple …

Internet of Vehicles (IoV) has emerged as a research field studied to improve vehicle
connectivity while ensuring traffic safety. It uses vehicular ad hoc networks as communication …

Vehicular ad-hoc networks (VANETs) enable communication in an intelligent transportation
system. The vehicles periodically send one-hop beacons to ensure network-related …

Human activity recognition (HAR) has been an active area of research for decades. While
traditional sensor-based activity recognition methods have demonstrated high recognition …

Orthogonal frequency division multiplexing (OFDM) is emerging as the preferred modulation
scheme in modern high data rate wireless communication systems. Orthogonal frequency-…

Background: Head injury is a significant reason for high dreariness and mortality, especially
in youthful and useful age bunch patients. As per the World Health Organization report on …

The vehicular networks heavily rely on beaconing for traffic safety and congestion awareness.
These periodic broadcasted safety messages may lead to heavy data traffic, resulting in …

This paper focuses on mathematical rigor to provide explicit solution for gender recognition
by extracting feature vector. This paper implement face recognition system using Principal …