The establishment of natural protected areas is one the most effective strategies to conserve forests and their biodiversity; however, uncontrolled advance deforestation resulting from change use expand agricultural frontier has become a threat these intangible areas. This research aimed analyze dynamics forest cover in Parque Nacional Tingo María (PNTM) its buffer zone (ZA) located high jungle...

This article describes a R package Boruta, implementing a novel feature selection algorithm for finding all relevant variables. The algorithm is designed as a wrapper around a Random Forest classification algorithm. It iteratively removes the features which are proved by a statistical test to be less relevant than random probes. The Boruta package provides a convenient interface to the algorith...

Abstract Aiming at the poor location accuracy caused by harsh and complex underground environment, long strip roadway, limited wireless transmission sparse anchor nodes, an algorithm based on random forest compensation for environmental factors was proposed. Firstly, access point (AP) network model tunnel environment were analyzed, fingerprint built. And then Received Signal Strength (RSS) anal...

Today, unmanned aerial vehicle (UAV)-based images have become an important data sources for researchers who deals with mapping from various disciplines on photogrammetry and remote sensing. Reconstruction of area three-dimensional (3D) point clouds UAV-based are essential process to be used traditional 2D cadastral maps or produce a topographic maps. Point should classified since they subjected...

The current job survey shows that most software employees are planning to change their role due high pay for recent jobs such as data scientists, business analysts and artificial intelligence fields. also indicated work life imbalances, low pay, uneven shifts many other factors make think about changing life. In this paper, an efficient organisation of the company in terms human resources, prop...

We propose a unified and flexible framework for ensemble learning in the presence of censoring. For right-censored data, we introduce a random forest algorithm and a generic gradient boosting algorithm for the construction of prognostic and diagnostic models. The methodology is utilized for predicting the survival time of patients suffering from acute myeloid leukemia based on clinical and gene...