Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques
A high amount of installed distributed generators (DG) in low-voltage grids, eg photovoltaic
generators (PV), may cause serious problems due to overloading of electrical equipment …
generators (PV), may cause serious problems due to overloading of electrical equipment …
Cooperative starting movement detection of cyclists using convolutional neural networks and a boosted stacking ensemble
M Bieshaar, S Zernetsch, A Hubert… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In the future, vehicles and other traffic participants will be interconnected and equipped with
various types of sensors, allowing for cooperation on different levels, such as situation …
various types of sensors, allowing for cooperation on different levels, such as situation …
Learning from others: Exchange of classification rules in intelligent distributed systems
D Fisch, M Jänicke, E Kalkowski, B Sick - Artificial Intelligence, 2012 - Elsevier
Learning by an exchange of knowledge and experiences enables humans to act efficiently
in a very dynamic environment. Thus, it would be highly desirable to enable intelligent …
in a very dynamic environment. Thus, it would be highly desirable to enable intelligent …
Techniques for knowledge acquisition in dynamically changing environments
D Fisch, D Fisch, M Jänicke, E Kalkowski… - ACM Transactions on …, 2012 - dl.acm.org
Intelligent agents often have the same or similar tasks and sometimes they cooperate to
solve a given problem. These agents typically know how to observe their local environment …
solve a given problem. These agents typically know how to observe their local environment …
Technical data mining with evolutionary radial basis function classifiers
This article deals with two key problems of data mining, the automation of the data mining
process and the integration of human domain experts. We show how an evolutionary …
process and the integration of human domain experts. We show how an evolutionary …
Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM
S Breker, B Sick - 2016 International Joint Conference on …, 2016 - ieeexplore.ieee.org
The use of expert knowledge is always more or less afflicted with uncertainties for many
reasons: Expert knowledge may be imprecise, imperfect, or erroneous, for instance. If we …
reasons: Expert knowledge may be imprecise, imperfect, or erroneous, for instance. If we …
Lower Bound Bayesian Networks-An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks
We present a new method to propagate lower bounds on conditional probability distributions
in conventional Bayesian networks. Our method guarantees to provide outer approximations …
in conventional Bayesian networks. Our method guarantees to provide outer approximations …