[Retracted] A Deep Learning Filter that Blocks Phishing Campaigns Using Intelligent English Text Recognition Methods

Figure 1

Flowchart Kalman filter. It is a real-time algorithm that can accurately estimate observable and unobservable parameters as a recursive estimator. The estimated state from the previous time step and the current measurement is required for the current state estimation. Compared to batch estimating approaches, there is no requirement for a historical record of observations and evaluations. Precision predictions are made possible by the use of high-accuracy estimations.