Abstract We quantify the impact of ocean eddies on the global‐mean tropical‐cyclone intensity in a 1‐year simulation run with a coupled atmosphere‐ocean model with quite‐realistic seasonal climatology that resolves both Tropical cyclones (TCs) and ocean eddies.
Arjun Unnithan Kumar +2 more
wiley +1 more source
Leveraging artificial intelligence for predictive customer churn modeling in telecommunications: a framework for enhanced customer relationship management. [PDF]
Abdelhady MG, Mohamed KA.
europepmc +1 more source
Multimedia data-driven customer churn prediction using an enhanced extreme learning machine. [PDF]
Liu YW, Wang J, Liu C.
europepmc +1 more source
Survival analysis of electric vehicle charging behavior and the temporal evolution of feature effects. [PDF]
Meža M, Strle G, Meža M.
europepmc +1 more source
Survival analysis for predicting fitness app user churn. [PDF]
Zakrzewska M +4 more
europepmc +1 more source
Improving bank customer churn prediction with feature reduction using GA. [PDF]
T N N, Pramod D.
europepmc +1 more source
A predictive analytics approach to improve telecom's customer retention. [PDF]
Omari A +3 more
europepmc +1 more source
Safeguarding Open Science from exploitative practices. [PDF]
Maupin D, Spick M, Geifman N.
europepmc +1 more source
Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning. [PDF]
Adiputra INM, Wanchai P, Lin PC.
europepmc +1 more source

