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Customer-churn prediction using machine learning
The gradual but consistent decrease in the number of customers retained over time is
referred to as “customer churn,” and it is a word that is frequently used in the business and …
referred to as “customer churn,” and it is a word that is frequently used in the business and …
A new vehicle tracking system with R-CNN and random forest classifier for disaster management platform to improve performance
TV Kumar, AR Yeruva, S Kumar… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Smart devices connected to the Internet of Things (IoT) play a big role in the growth of smart
cities, which are becoming more technologically advanced over time. Find out how many …
cities, which are becoming more technologically advanced over time. Find out how many …
Classification of sound using convolutional neural networks
Sound has a significant impact on every aspect of human life. The study of sound
classification has gained popularity recently across a wide range of fields. In a variety of …
classification has gained popularity recently across a wide range of fields. In a variety of …
Analysis of the regulatory development cryptocurrencies for trading in business with deep learning techniques
As the number of people infected with COVID-19 continues to rise, a number of nations have
implemented state wide quarantines. This has resulted in a global financial crisis that is …
implemented state wide quarantines. This has resulted in a global financial crisis that is …
A Proficient and secure way of Transmission using Cryptography and Steganography
People are concerned about the security of their data over the internet. The data can be
protected in many ways to keep unauthorized individuals from accessing it. To secure data …
protected in many ways to keep unauthorized individuals from accessing it. To secure data …
Energy Optimization in Wireless Sensor Networks
Data collection from sensitive places must be done remotely due to laborious
communication protocols. In this paper, the deployment of wireless sensor networks is …
communication protocols. In this paper, the deployment of wireless sensor networks is …
Detection of Alzheimer's Disease Using Deep Learning, Blockchain, and IoT Cognitive Data
Telemedicine has the potential to be a good resource for early disease diagnosis, provided
that it is utilised in the correct manner. The Internet of Things (IoT) is a concept that has …
that it is utilised in the correct manner. The Internet of Things (IoT) is a concept that has …
Visualization and Prediction of Rainfall Using Deep Learning and Machine Learning Techniques
T Aruna, P Naresh, A Rajeshwari… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The sheer quantity of big information has created tremendous prospects for forecasts and
study. Infographic is a normal sight in everyday life. Several trend lines explain the …
study. Infographic is a normal sight in everyday life. Several trend lines explain the …
E-mail Spam Detection Using Machine Learning–KNN
Email is a primary mode of communication for software developers due of its convenience.
Employing a spam filter is required in order to maintain efficient communication. This …
Employing a spam filter is required in order to maintain efficient communication. This …
Cnn-based early blight and late blight disease detection on potato leaves
Potatoes are grown commercially in practically every country in the world. Unfortunately, the
crop has been affected by a number of different diseases. In order for the gardener to take …
crop has been affected by a number of different diseases. In order for the gardener to take …