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Published in 2020 at "Ethics and Information Technology"
DOI: 10.1007/s10676-020-09539-x
Abstract: While using statistics in law enforcement is nothing new,1 cutting-edge technology that uses big data is changing the face of law enforcement (Buchholtz 2020; Degeling and Berendt 2018; Egbert and Krasmann 2019; Ferguson 2017b; Sheehey…
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Keywords:
information;
predictive policing;
ferguson;
person based ... See more keywords
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Published in 2019 at "Journal of Control, Automation and Electrical Systems"
DOI: 10.1007/s40313-019-00521-7
Abstract: One of the main reasons that prevent the use of model-based predictive control (MPC) in power electronics and motor drive is the MPC design. The processes related to these fields have fast dynamics, and most…
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Keywords:
model based;
control;
predictive controller;
drive ... See more keywords
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Published in 2019 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-019-00650-w
Abstract: AbstractThis paper proposes a new adaptive proportional–integral–derivative (PID) control method using predictive control and output recurrent fuzzy wavelet neural network (ORFWNN) for a group of nonlinear digital time-delay dynamic systems. The presented controller, called ORFWNN-APPID…
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Keywords:
adaptive orfwnn;
control;
based predictive;
pid control ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.560
Abstract: This paper develops a new method for the design of predictive repetitive control systems to track periodic reference signals or reject disturbances with bandlimited frequency content. In this new design, any input disturbances present are…
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Keywords:
repetitive control;
observer based;
predictive repetitive;
based predictive ... See more keywords
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Published in 2017 at "Robotics and Autonomous Systems"
DOI: 10.1016/j.robot.2016.09.016
Abstract: Model-based predictive control approaches can be successfully applied to the trajectory tracking of wheeled mobile-robot applications if the process nonlinearity is considered, if real-time performance is achieved and if assumptions made in the control-law design…
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Keywords:
model based;
control;
time;
predictive control ... See more keywords
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Published in 2022 at "Cerebral cortex"
DOI: 10.1093/cercor/bhac145
Abstract: Compulsion is one of core symptoms of obsessive-compulsive disorder (OCD). Although many studies have investigated the neural mechanism of compulsion, no study has used brain-based measures to predict compulsion. Here, we used connectome-based predictive modeling…
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Keywords:
compulsion;
connectome based;
based predictive;
compulsive disorder ... See more keywords
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Published in 2023 at "Social Cognitive and Affective Neuroscience"
DOI: 10.1093/scan/nsad002
Abstract: Abstract Forgiveness is a positive, prosocial manner of reacting to transgressions and is strongly associated with mental health and well-being. Despite recent studies exploring the neural mechanisms underlying forgiveness, a model capable of predicting trait…
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Keywords:
connectome based;
trait;
based predictive;
predictive modeling ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2779175
Abstract: Wastewater treatment process (WWTP) has long been a challenging industrial issue due to its built-in uncertainties and discontinuous measurement of system states. To solve this problem, in this paper, a data-based predictive control (DPC) strategy,…
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Keywords:
control;
data based;
wastewater treatment;
predictive control ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2946240
Abstract: In the United States, Acute Lymphoblastic Leukemia (ALL), the most common child and adolescent malignancy, accounts for roughly 25% of childhood cancers diagnosed annually with a 5-year survival rate as high as 94%. This improved…
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Keywords:
imaging based;
predictive modeling;
based predictive;
early imaging ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3005318
Abstract: Nonlinear Model-based Predictive Control (NMPC) is a relevant research area having applications in the industrial sector. Traditionally, in this technique, gradient descent algorithms have been used to solve the related optimization problem. More recently, bio-inspired…
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Keywords:
control;
predictive control;
based predictive;
model based ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149585
Abstract: Real-world applications of intelligent agents demand accuracy and efficiency, and seldom provide reinforcement signals. Currently, most agent models are reinforcement-based and concentrate exclusively on accuracy. We propose a general-purpose agent model consisting of proprioceptive and…
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Keywords:
dynamic environments;
based predictive;
agent;
attention based ... See more keywords