Water supply network pollution source identification by random forest algorithm

P2P Network Traffic Identification Based on Random Forest Algorithm

With the rapid development of computer technique in the past decades, the emergence of P2P techniqueprompts the network computing model evolving from centralized network to distributed network. Although P2P technique has brought tremendous changes to the network technique, P2P technique also exposes a lot of problems during its implementation. If we can manage the P2P network traffic effectivel...

Author gender identification from text using Bayesian Random Forest

Nowadays high usage of users from virtual environments and their connection via social networks like Facebook, Instagram, and Twitter shows the necessity of finding out shared subjects in this environment more than before. There are several applications that benefit from reliable methods for inferring age and gender of users in social media. Such applications exist across a wide area of fields,...

Calculation of Leakage in Water Supply Network Based on Blind Source Separation Theory

The economic and environmental losses due to serious leakage in the urban water supply network have increased the effort to control the water leakage. However, current methods for leakage estimation are inaccurate leading to the development of ineffective leakage controls. Therefore, this study proposes a method based on the blind source separation theory (BSS) to calculate the leakage of water...

Diagnosis of Diabetes Using a Random Forest Algorithm

Background: Diabetes is the fourth leading cause of death in the world. And because so many people around the world have the disease, or are at risk for it, diabetes can be called the disease of the century. Diabetes has devastating effects on the health of people in the community and if diagnosed late, it can cause irreparable damage to vision, kidneys, heart, arteries and so on. Therefore, it...

Rural Water Supply Network