Abstract: Clustering organizes nodes into groups in order to enhance the connectivity and stability of cognitive radio sensor networks. Mainly depending on the channel availability, many existing ...

Prehospital emergency helicopters, with excellent maneuverability and response speed, have become the key equipment for improving the quality of emergency medical services. However, the scientific ...

In the field of scientific computing and engineering, Simulink and MATLAB both are both precious tools. Simulink and MATLAB both of these tools are developed by MathWorks. Both tools have their own ...

Healthcare, business, and the military employ wireless sensor networks (WSNs). Unfortunately, these networks have power supply, storage, and computing restrictions for sensor nodes. To overcome these ...

Abstract: We introduce a novel soft-decision decoding algorithm for binary block codes named ordered reliability direct error pattern testing (ORDEPT). The proposed ...

In recent years, the demand for Wireless Sensor Network (WSN) in smart farming has had a tremendous increase in demand for its efficiency. Wireless sensor networks have very many nodes, and it is of ...

The idea of this project is to use one of the most popular unsupervised machine learning techniques, for creating an analysis of a city’s venues, based on the information from foursquare’s available ...

Cardiovascular diseases (CVDs) have become the number 1 threat to human health. Their numerous complications mean that many countries remain unable to prevent the rapid growth of such diseases, ...

The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the ...

We propose that correlations among neurons are generically strong enough to organize neural activity patterns into a discrete set of clusters, which can each be viewed as a population codeword. Our ...