Titlebook: Machine Learning for Predictive Analysis; Proceedings of ICTIS Amit Joshi,Mahdi Khosravy,Neeraj Gupta Conference proceedings 2021 The Edito

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Frequency Detection and Variation with Smart-Sensor Data Analysis Using Artificial Neural Network annects with the system. In the system, we use C# program to process the raw data and extract meaning from it using artificial neural networks that learn to filter the raw data. The data is then sent to the cloud server. The simulation shows that we have to maintain a threshold condition to improve the quality of the electrical machine.

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Counterfeit Currency Detection Using Supervised Machine Learning Algorithms,gorithms classify the currency notes on the basis of features extracted from images. The dataset was taken from UCI Machine Learning Repository. We got the best results from K-nearest neighbours classifier with 99.8% accuracy and F-score of 0.992 (. = 2).

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On the Desired Properties of Linear Feedback Shift Register (LFSR) Based High-Speed PN-Sequence-Gen In this paper, we will show that one needs to employ different effective tools to evaluate the performances of such sequences so that suitable sequences for application case can be correctly selected.

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Eeg332

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An Approach to Mitigate the Risk of Customer Churn Using Machine Learning Algorithms,he model of churn prediction. The cycle where one user leaves one company and enters another is called churn. This paper would explore how to identify customers who could churn, using machine learning techniques to forecast, and helping to represent large datasets in graph form.

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Aishwariya Rao Nagar,Meghana R. Bhat,K. Sneha Priya,K. Rajeshwari

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Debajyoti Mukhopadhyay,Kirti Mishra,Kriti Mishra,Laxmi Tiwari

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