Improving Resampling based Ensemble in Churn Prediction

In recent years, protein structure prediction using local structure information has made great progr

LSTM with Wavelet Transform based Data Preprocessing for Stock Price Prediction

Regulons are the basic units of the response system in a bacterial cell, and each consists of a set

Wind speed prediction by chaotic operator network based on Kalman Filter

The structural air compressor has heavy power consumption during the course of operation, so the ene

In the networked control system (NCS) with the discrete-time hidden Markov model (DT

This paper proposes a reversible data hiding scheme for natural images. A hybrid prediction mechanis

An early intestinal cancer prediction Algorithm Based on Deep Belief network

A Multi-hop Link Prediction Approach Based on Reinforcement Learning in Knowledge Graphs

A Traffic Prediction Method based on Complex Event Processing and Adaptive Bayesian Networks