Customer churn frequently occurs in the telecommunications industry, which provides
services and can be detrimental to companies. A predictive model can be useful in …

Precise investigation of clinical data with the improvement of AI in clinical and clinical
associations can help in early identification and treatment of patients with general exercises …

Credit card is considered as one of the most popular paying methods for online and regular
purchases, due to the advancement in communication and electronic commerce systems …

In this digital era, developing a secure as well as democratically responsible vote casting
system is becoming an increasingly challenging task. This research study attempts to …

Health care field is facing a lot of challenges due to the huge volume of people need
medical support. The pandemic situation has created a lot of challenges to the healthcare …

Face recognition technology is widely employed in a variety of applications, including public
security, criminal identification, multimedia data management, and so on. Because of its …

Human society has great influence and threat from vibrant diseases as they get affected by
different diseases every day. The cardiac disease prediction method predicts the disease …

In the Internet of Things, wireless sensor networks (WSNs) are being utilised in a number of
ways, and their development is constantly developing. These data are often transformed in …

This particular irrigation practices an efficient way on monitoring the amount of water applied
to the fields. It has a response monitoring system and a soil moisture sensor which is present …

Predictive analytics involves using data and machine learning techniques to determine the
probability of future outcomes based on large amounts of data. Criminal acts are a part of …