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Babu Sena Paul

Researcher at University of Johannesburg

Publications -  93
Citations -  412

Babu Sena Paul is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Microstrip & Computer science. The author has an hindex of 8, co-authored 82 publications receiving 218 citations. Previous affiliations of Babu Sena Paul include Indian Institute of Technology Guwahati.

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The Impact of 4IR Digital Technologies and Circular Thinking on the United Nations Sustainable Development Goals

TL;DR: How digital technologies such as artificial intelligence, machine learning, the Internet of Things, Big Data, Blockchain, Robotics, 3D technologies, and many more are used in different sectors to provide an opportunity to understand and resolve the agreed upon framework in 2015 by 193 countries, that is, the 17 United Nations Sustainable Development Goals is explored.
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Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents

TL;DR: Analysis of widely used machine learning classifiers using a real-life RTA dataset from Gauteng, South Africa shows that the RF classifier, combined with multiple imputations by chained equations, yielded the best performance when compared with the other combinations.
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Time and Angle of Arrival Statistics of Mobile-to-Mobile Communication Channel Employing Circular Scattering Model

TL;DR: In this article, a geometrical single bounce scattering model has been used to study the mobile-to-mobile communication channel and analytical expressions for angle of arrival and time of arrival probability density functions have been derived for such models.
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Time and Angle of Arrival Statistics of Mobile-to-mobile Communication Channel Employing Dual Annular Strip Model

TL;DR: A generalized channel model for mobile-to-mobile communication based on the single bounce geometry-based channel modeling techniques has been proposed and analyzed and time of arrival and angle of arrival statistics have been derived and verified through computer simulations.
Proceedings ArticleDOI

Smart homes: A domestic demand response and demand side energy management system for future smart grids

TL;DR: In this article, a demand response and demand side management system model is proposed to curb the usage of domestic users' energy usage in a smart home, where the utility turns on/off smart power plugs wirelessly throughout the home based on peak and off peak periods via communication through its smart grid to help consumers shift their loads during these times.