M. Herlich and H. Karl, “Analytic quantification of outage probability and radiated power of cooperative base stations,” in 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) 2014, 2014.

M. Dellnitz et al., “The Paradigm of Self-optimization,” in Lecture Notes in Mechanical Engineering, Berlin, Heidelberg, 2014.

K. Flasskamp, S. Ober-Blobaum, T. Schneider, and J. Bocker, “Optimal control of a switched reluctance drive by a direct method using a discrete variational principle,” in 52nd IEEE Conference on Decision and Control, 2014.

K. Flaßkamp, J. Timmermann, S. Ober-Blöbaum, and A. Trächtler, “Control strategies on stable manifolds for energy-efficient swing-ups of double pendula,” International Journal of Control, pp. 1886–1905, 2014.

H. Anacker et al., “Methods for the Design and Development,” in Lecture Notes in Mechanical Engineering, Berlin, Heidelberg, 2014.

S. Arens, G. Domik, R. Weise, J. Holzinger, and W. Burchert, “Optimierte 3D Morphologiedarstellung tomographischer Datensätze des Herzens.” Hannover, 2014.

P. Flocchini, J. Gao, E. Kranakis, and F. Meyer auf der Heide, Eds., Algorithms for Sensor Systems - 9th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics, ALGOSENSORS 2013, vol. 8243. Berlin, Heidelberg: Springer, 2014.

R. Baier, M. Dellnitz, M. Hessel-von Molo, S. Sertl, and I. G. Kevrekidis, “The computation of convex invariant sets via Newton’s method,” Journal of Computational Dynamics, vol. 1, no. 1, pp. 39–69, 2014.

T. Leitz, S. Ober-Blöbaum, and S. Leyendecker, “Variational Lie Group Formulation of Geometrically Exact Beam Dynamics: Synchronous and Asynchronous Integration,” in Multibody Dynamics, Z. Terze, Ed. Cham: Springer, 2014.

T. Gail, S. Leyendecker, and S. Ober-Blöbaum, “On the role of quadrature rules and system dimensions in variational multirateintegrators,” in The 3rdJoint International Conference on Multibody System Dynamics, 2014.

S. Ober-Blöbaum and H. Lindhorst, “Variational formulation and structure-preserving discretization ofnonlinear electric circuits,” in 21st International Symposium on Mathematical Theory of Networks and Systems, 2014.

L. Schaefers and M. Platzner, “A Novel Technique and its Application to Computer Go,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 6, no. 3, pp. 361–374, 2014.

H. Giefers and M. Platzner, “An FPGA-based Reconfigurable Mesh Many-Core,” IEEE Transactions on Computers, vol. 63, no. 12, pp. 2919–2932, 2014.

J. Anwer, M. Platzner, and S. Meisner, “FPGA Redundancy Configurations: An Automated Design Space Exploration,” in Reconfigurable Architectures Workshop (RAW), 2014.

A. Bockhorn, Echtzeit Klassifikation von sEMG Signalen mit einem low-cost DSP Evaluation Board. Paderborn University, 2014.

A. Boschmann and M. Platzner, “A computer vision-based approach to high density EMG pattern recognition using structural similarity,” in Proc. MyoElectric Controls Symposium (MEC), 2014.

A. Boschmann and M. Platzner, “Towards robust HD EMG pattern recognition: Reducing electrode displacement effect using structural similarity,” in Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC), 2014.

M. Brand, A Generalized Loop Accelerator Implemented as a Coarse-Grained Array. Paderborn University, 2014.

M. Damschen, Easy-to-use-on-the-fly binary program acceleration on many-cores. Paderborn University, 2014.

K. Glette and P. Kaufmann, “Lookup Table Partial Reconfiguration for an Evolvable Hardware Classifier System,” in IEEE Congress on Evolutionary Computation (CEC), 2014.