A random forest-based approach for fault location detection in distribution systems
Sign Up to like & getrecommendations! Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01074-8
Abstract: Finding the fault location in distribution network is difficult in comparison to transmission network based upon high branching and high impedances composed of the contact with environmental factors when a fault occurs. For this matter,… read more here.
Keywords: fault; fault location; random forest; forest based ... See more keywords
Motivations, adoption and impact of voluntary environmental certification in the Italian Forest based industry: The case of the FSC standard
Sign Up to like & getrecommendations! Published in 2017 at "Forest Policy and Economics"
DOI: 10.1016/j.forpol.2017.08.002
Abstract: Over the past few years several private voluntary schemes have been developed worldwide to address the environmental issues in the forest based industry. Using survey data, this study analyse the main factors motivating companies operating… read more here.
Keywords: motivations adoption; italian forest; based industry; forest based ... See more keywords
Frontiers of the forest-based bioeconomy – A European Delphi study
Sign Up to like & getrecommendations! Published in 2019 at "Forest Policy and Economics"
DOI: 10.1016/j.forpol.2019.03.008
Abstract: Abstract The European forest-based sector is undergoing major changes, while, at the same time, the role of a forest-based bioeconomy is being politically discussed. The aim of this study is to elicit expert views on… read more here.
Keywords: sector; study; based bioeconomy; frontiers forest ... See more keywords
Factors behind development of innovations in European forest-based bioeconomy
Sign Up to like & getrecommendations! Published in 2020 at "Forest Policy and Economics"
DOI: 10.1016/j.forpol.2019.102079
Abstract: Abstract Organizational-level innovations are one of the key pathways for reaching the Knowledge-Based Bio-Economy; and analysis of factors behind their development is missing within forest-based bioeconomy. In this study we develop an analytical definition of… read more here.
Keywords: factors behind; innovation; based bioeconomy; development ... See more keywords
Isolation Forest Based on Minimal Spanning Tree
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DOI: 10.1109/access.2022.3190505
Abstract: Detecting anomalies in data sets has been one of the most studied issues in modern data analysis. Therefore, there is a plethora of applications in a very wide range of fields of science and technology.… read more here.
Keywords: forest based; based minimal; minimal spanning; isolation forest ... See more keywords
Cloth Manipulation Using Random-Forest-Based Imitation Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2897370
Abstract: We present a novel approach for manipulating high-DOF deformable objects such as cloth. Our approach uses a random-forest-based controller that maps the observed visual features of the cloth to an optimal control action of the… read more here.
Keywords: cloth manipulation; imitation learning; forest based; random forest ... See more keywords
Isolation Forest Based Anomaly Detection Framework on Non-IID Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2021.3057914
Abstract: Anomaly detection is a significant but challenging data mining task in a wide range of applications. Different domains usually use different ways to measure the characteristics of data and to define the anomaly types. As… read more here.
Keywords: forest based; isolation forest; anomaly detection; isolation ... See more keywords
Epileptic Seizure Detection by Cascading Isolation Forest-Based Anomaly Screening and EasyEnsemble
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3163503
Abstract: The electroencephalogram (EEG), for measuring the electrophysiological activity of the brain, has been widely applied in automatic detection of epilepsy seizures. Various EEG-based seizure detection algorithms have already yielded high sensitivity, but training those algorithms… read more here.
Keywords: forest based; seizure; based anomaly; isolation forest ... See more keywords
Reducing correlation of random forest–based learning‐to‐rank algorithms using subsample size
Sign Up to like & getrecommendations! Published in 2019 at "Computational Intelligence"
DOI: 10.1111/coin.12213
Abstract: Learning‐to‐rank (LtR) has become an integral part of modern ranking systems. In this field, the random forest–based rank‐learning algorithms are shown to be among of the top performers. Traditionally, each tree of a random forest… read more here.
Keywords: correlation; random forest; forest based; learning rank ... See more keywords
Forest-Based and Semiparametric Methods for the Postprocessing of Rainfall Ensemble Forecasting
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DOI: 10.1175/waf-d-18-0149.1
Abstract: To satisfy a wide range of end users, rainfall ensemble forecasts have to be skillful for both low precipitation and extreme events. We introduce local statistical postprocessing methods based on quantile regression forests and gradient… read more here.
Keywords: rainfall ensemble; based semiparametric; semiparametric methods; forecasting forest ... See more keywords
Are Communities Benefiting from Land Reform Models? Investigating Forest-Based Public-Private Partnerships in Selected Beneficiary Communities in South Africa
Sign Up to like & getrecommendations! Published in 2018 at "International Forestry Review"
DOI: 10.1505/146554818823767564
Abstract: SUMMARY Land reform in South Africa, like in other developing countries with a history of land grab and people's displacement, is an issue of serious contestation. The study therefore assessed the accrual of benefits to… read more here.
Keywords: south africa; land reform; land; reform models ... See more keywords