The internet along with its global uses has also evolved as a platform where various people can pose their questions on certain sites and get them answered by others from the same domain. Certain sites like Quora, Red...
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In this study, a convolutional neural network (CNN) model was put out for the prediction of customer turnover in the telecom sector. In earlier studies, numerous supervised machine learning models were developed and a...
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ISBN:
(纸本)9789819717231
In this study, a convolutional neural network (CNN) model was put out for the prediction of customer turnover in the telecom sector. In earlier studies, numerous supervised machine learning models were developed and applied to forecast client attrition. However, in order to create these models, attribute selection must be done by humans, which is tedious, time-consuming, tailored to specific datasets, and usually results in attribute selection problems. In order to eliminate human attribute selection and accompanying issues, this study suggested a convolutional neural network model for forecasting consumer churning behaviour. The fourteen thousand data examples obtained from one of the major cellular operators operating in Nigeria were divided into two datasets. Our model was created and put into use using the Python programming language and the Anaconda distribution. Our first preference was Jupyter notebook. A second CNN model, two multi-layer perceptron (MLP) models, and three additional models were created in order to conduct a comparable comparison. The accuracy rates for the MLP models are 81% and 89% for convolution neural network 1 and convolution neural network 2, and 80% and 81% for MLP 1 and MLP 2, respectively. When a company tries to bring in new clients, the costs are far higher than when it tries to lose old ones. All of their plans and strategies are structured to win over existing customers, lose new ones, and ultimately increase customer satisfaction. One of the biggest issues for this company, though, is user churn. It deprives a bank of a variety of income sources, including fees. Furthermore, in the Islamic banking system, the primary source of a bank’s income comes from consumer deposits. It might result in a bank withdrawing some of its deposits. If a bank ignores the loss of these two sources of income and the potential rise in reputational damage, it may be on the verge of failure. The current study offers a preliminary forecast of customer
A substantial amount of the Indian economy depends solely on ***,on the other hand,plays a significant role in agriculture–while an adequate amount of rainfall can be considered as a blessing,if the amount is inordin...
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A substantial amount of the Indian economy depends solely on ***,on the other hand,plays a significant role in agriculture–while an adequate amount of rainfall can be considered as a blessing,if the amount is inordinate or scant,it can ruin the entire hard work of the *** this work,the rainfall dataset of the Vellore region,of Tamil Nadu,India,in the years 2021 and 2022 is forecasted using several machine learning *** engineering has been performed in this work in order to generate new features that remove all sorts of autocorrelation present in the *** removal of autocorrelation,the data could be used for performing operations on the time-series data,which otherwise could only be performed on any other regular regression *** work uses forecasting techniques like the AutoRegessive Integrated Moving Average(ARIMA)and exponential smoothening,and then the time-series data is further worked on using Long Short Term Memory(LSTM).Later,regression techniques are used by manipulating the *** work is benchmarked with several evaluation metrics on a test dataset,where XGBoost Regression technique outperformed the *** uniqueness of this work is that it forecasts the daily rainfall for the year 2021 and 2022 in Vellore *** work can be extended in the future to predict rainfall over a bigger region based on previously recorded time-series data,which can help the farmers and common people to plan accordingly and take precautionary measures.
We introduce a novel differentially private algorithm for online federated learning that employs temporally correlated noise to enhance utility while ensuring privacy of continuously released models. To address challe...
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Agriculture is one of the most important and necessary sources of national wealth. Plant and crop diseases are one of the major factors that affect output quality and quantity. Lack of quality and quantity in food pro...
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Amid the rising demand for efficient processors, the challenge has always been to reduce power consumption without compromising performance. FinFET technology has significantly reduced leakage power issues, but dynami...
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An aggressive from of cancer that rarely shows symptoms in its early stages and hence can be diagnosed at an advanced stage. CT scan or MRI is used to diagnose it in the early stage because early diagnosis gives highe...
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Nowadays, many job ads are attracting a vast number of applications in less time on the internet. Screening and sorting these resumes manually is a very time-consuming process and costs a huge amount of money for recr...
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Restaurant selection by a consumer is a challenging task. The main problem is the proper optimization of ratings by food bloggers and the cost of food in the restaurant. In this paper, we propose an approach for a res...
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Wild animal monitoring is one of the essential factors in balancing the ecosystem in protecting the animal habitat. Camera traps are used to capture the images, which play a vital role in the automatic monitoring of w...
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