Using internet of things (IoT), we can connect and enable every object to send or receive data through the internet. When it comes to real life applications we can make use of this technology for easy communication th...
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We introduce a simple optical homodyne setup to perform time-domain Acousto-Optics imaging using a photodiode. Our method introduces an SNR gain of over a 4-fold compared to a system based on a photomultiplier tube. &...
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Analyzing following behavior is important in many applications. Following behavior may depend on the main intention of the follower. Users may either follow their friends or they may follow celebrities to know more ab...
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In today’s competitive business environment, it is crucial to do marketing effectively based on the customer buying habits and requirements. By analyzing the buying habits of customers, companies can enhance customer...
In today’s competitive business environment, it is crucial to do marketing effectively based on the customer buying habits and requirements. By analyzing the buying habits of customers, companies can enhance customer’s shopping experiences. The analysis can be done with the help of a method called customer segmentation. It is the process of grouping customers into different clusters based on similar characteristics. In this paper, we have done customer segmentation using the k-means algorithm which is an unsupervised learning method and it focuses on grouping the data points into clusters where each point resides in a cluster with the nearest centroid. The accuracy for the optimal number of clusters is verified using a dendrogram where the number of clusters is equal to the number of points obtained by drawing a imaginary horizontal line bisecting through the most extended vertical line of the graph. This analysis gives insights based on customer buying habits which helps companies build marketing strategies for the targeted audience that will improve client retention and overall revenue of business.
This paper presents the analysis of voltage profile and active power losses in a low voltage distribution network (0.4 kV) with connected prosumers that have installed photovoltaic (PV) power plants in their houses. A...
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The two-dimensional structure of a random gain medium was designed to obtain the specified emission spectrum from a random laser. Structural optimization was performed using a direct binary search method. The simulati...
Wi-wireless networks are becoming more pervasive and are frequently the primary goal of malicious attackers. Therefore, it is miles crucial that wireless networks are nicely secured to defend their users from maliciou...
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COVID-19 screening using chest X-rays plays a significant role in the early diagnosis of COVID-19 illness during the ongoing pandemic. Manually identifying this infection from chest X-ray films is a challenging and ti...
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Concept drift is a common phenomenon appearing in evolving data streams of a wide range of applications including credit card fraud protection, weather forecast, network monitoring, etc. For online data streams it is ...
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technology-fuelled medical premises equipped using AI-promoted suggestions have slowly changed clinical touch through movement-based examination, clinician improvement, and practical efficiency, and they bring all aro...
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