نتایج جستجو برای: using shannons entropy and random forest models

تعداد نتایج: 17470755  

This study aims to examine the ability of free floating aquatic plants to remove phosphorus and to predict the reduction of phosphorus from rice mill wastewater using soft computing techniques. A mesocosm study was conducted at the mill premises under normal conditions, and reliable results were obtained. Four aquatic plants, namely water hyacinth, water lettuce, salvinia, and duckweed were use...

1999
T. C. DORLAS J. R. WEDAGEDERA

A separable spin glass model whose exchange integral takes the form Jij-J(ilj2+12jl) which was solved by van Hemmen et al. [12] using large deviation theory [14] is rigorously treated. The almost sure convergence criteria associated with the cumulant generating function C(t) with respect to the quenched random variables (is carefully investigated, and it is proved that the related excluded null...

2008
Yoichi Nishiyama Y. NISHIYAMA

This note extends some results of Nishiyama [Ann. Probab. 28 (2000) 685–712]. A maximal inequality for stochastic integrals with respect to integer-valued random measures which may have infinitely many jumps on compact time intervals is given. By using it, a tightness criterion is obtained; if the so-called quadratic modulus is bounded in probability and if a certain entropy condition on the pa...

2013
Avi Bar Massada Alexandra D. Syphard Susan I. Stewart Volker C. Radeloff

Wildfire ignition distributionmodels are powerful tools for predicting the probability of ignitions across broad areas, and identifying their drivers. Several approaches have been used for ignition-distribution modelling, yet the performance of different model types has not been compared. This is unfortunate, given that conceptually similar speciesdistributionmodels exhibit pronounced differenc...

Selecting appropriate inputs for intelligent models is important due to reduce costs and save time and increase accuracy and efficiency of models. The purpose of this study is using Shannon entropy to select the optimum combination of input variables in time series modeling. Monthly time series of precipitation, temperature and radiation in the period of 1982-2010 was used from Tabriz synoptic ...

Journal: :Remote Sensing 2017
Sarah Byer Yufang Jin

A five-year drought in California led to a significant increase in tree mortality in the Sierra Nevada forests from 2012 to 2016. Landscape level monitoring of forest health and tree dieback is critical for vegetation and disaster management strategies. We examined the capability of multispectral imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) in detecting and explaining ...

2006
Luke St. Clair Lisa Johansen William Enck Matthew Pirretti Patrick Traynor Patrick D. McDaniel Trent Jaeger

Passwords are currently the dominant authentication mechanism in computing systems. However, users are unwilling or unable to retain passwords with a large amount of entropy. This reality is exacerbated by the increasing ability of systems to mount offline attacks. In this paper, we evaluate the degree to which the previous statements are true and attempt to ascertain the point at which passwor...

Journal: :CoRR 2014
Oscar M. Danielsson Omid Aghazadeh

We address the problem of estimating the pose of humans using RGB image input. More specifically, we are using a random forest classifier to classify pixels into joint-based body part categories, much similar to the famous Kinect pose estimator [11], [12]. However, we are using pure RGB input, i.e. no depth. Since the random forest requires a large number of training examples, we are using comp...

Journal: :Entropy 2017
Rajchandar Padmanaban Avit K. Bhowmik Pedro Cabral Alexander Zamyatin Oraib Almegdadi Shuangao Wang

Urban sprawl (US), propelled by rapid population growth leads to the shrinkage of productive agricultural lands and pristine forests in the suburban areas and, in turn, adversely affects the provision of ecosystem services. The quantification of US is thus crucial for effective urban planning and environmental management. Like many megacities in fast growing developing countries, Chennai, the c...

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