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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,…
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Keywords:
fault;
fault location;
random forest;
forest based ... See more keywords
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Published in 2024 at "GPS Solutions"
DOI: 10.1007/s10291-024-01667-x
Abstract: Multipath is recognized as one of the major error sources for GNSS urban navigation. This study proposes a random forest (RF)-based multipath parameter estimator that uses random forest regression for parameter estimation, thereby mitigating multipath…
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Keywords:
forest based;
parameter;
random forest;
multipath ... See more keywords
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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…
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Keywords:
motivations adoption;
italian forest;
based industry;
forest based ... See more keywords
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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…
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Keywords:
sector;
study;
based bioeconomy;
frontiers forest ... See more keywords
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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…
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Keywords:
factors behind;
innovation;
based bioeconomy;
development ... See more keywords
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Published in 2025 at "New Journal of Chemistry"
DOI: 10.1039/d5nj00345h
Abstract: The hybrid GIPSO-RFR model efficiently predicts PSC structures, reducing computational cost and optimizing device performance with near state-of-the-art power conversion efficiency.
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Keywords:
improvised pso;
efficiency;
group improvised;
forest based ... See more keywords
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Published in 2022 at "IEEE Access"
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.…
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Keywords:
forest based;
based minimal;
minimal spanning;
isolation forest ... See more keywords
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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…
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Keywords:
cloth manipulation;
imitation learning;
forest based;
random forest ... See more keywords
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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…
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Keywords:
forest based;
isolation forest;
anomaly detection;
isolation ... See more keywords
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Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2024.3392569
Abstract: Emotion recognition, a process of automatic cognition of human emotions, has great potential to improve the degree of social intelligence. Among various recognition methods, emotion recognition based on touch event's temporal and force information receives…
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Keywords:
emotion recognition;
emotion;
recognition;
forest based ... See more keywords
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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…
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Keywords:
forest based;
seizure;
based anomaly;
isolation forest ... See more keywords