Wissenschaftliche Publikationen
2022
J.
Lins,
T.
Harweg,
F.
Weichert and
K.
Wohlgemuth,
"Potential of deep learning methods for deep level particle characterization in crystallization"
,
Applied Sciences (accepted for publication),
2022.
2008
H.
Müller,
D.
Biermann,
P.
Kersting,
T.
Michelitsch,
C.
Begau,
C.
Heuel,
R.
Joliet,
J.
Kolanski,
M.
Kröller,
C.
Moritz,
D.
Niggemann,
M.
Stöber,
T.
Stönner,
J.
Varwig and
D.
Zhai,
"Intuitive Visualization and Interactive Analysis of Pareto Sets Applied On Production Engineering Systems"
in Success in Evolutionary Computation, Springer-Verlag, Berlin,
Springer-Verlag,
2008,
pp. 189-214.
2006
A.
Zabel,
H.
Müller,
M.
Stautner and
P.
Kersting,
"Improvement of Machine Tool Movements for Simultaneous Five-Axes Milling"
,
5th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, July 25-28, 2006, Ischia, Italy,
2006.
K.
Weinert,
A.
Zabel,
H.
Müller and
P.
Kersting,
"Optimizing NC Tool Paths for Five-Axis Milling using Evolutionary Algorithms on Wavelets"
,
GECCO-2006, July 8-12, 2006, Seattle, Washington, USA,
2006.