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Neural Network Based Recognition of Smoke Signatures from Lidar Signals.

A. Fernandes, A. Utkin, A. Lavrov, and R. Vilar. Neural Processing Letters, 19 (3): 175-189 (2004)

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V. Vaikuntanathan

Alexander Verl

On the Dynamics and Emergency Stop Behavior of Cable-Driven Parallel RobotsP. Tempel, A. Verl, and A. Pott. ROMANSY 21 - Robot Design, Dynamics and Control, volume 569 of CISM International Centre for Mechanical Sciences, page 431--438. Switzerland, Springer Verlag and Springer International Publishing, (2016)

V. Zaverkin

Jan Vanvinkenroye University of Stuttgart

Öffnung der Blackbox Hochschullehre durch kollaborative AutoethnografieI. Steinhardt, A. Thielsch, M. Eichhorn, D. Lohner, J. Vanvinkenroye, N. Bernhard, A. Goller, M. Noftz, D. Ternes, C. Schmid and 5 other author(s). Ethnografie der Hochschule : zur Erforschung universitärer Praxis, chapter 5, transcript, Bielefeld, (2022)

apl. Prof. Dr. Angelika Vetter University of Stuttgart

Reducing Social Stratification Bias in Referendum Participation : Evidence from the German Local LevelJ. Velimsky, A. Vetter, and A. Bächtiger. Political research quarterly, (2024)

Other publications of authors with the same name

A Simple Neural-network Algorithm for Classification of Lidar Signals Applied to Forest-fire Detection.A. Utkin, A. Lavrov, and R. Vilar. IJCCI, page 569-574. INSTICC Press, (2009)Neural Network Based Recognition of Smoke.A. Fernandes, A. Utkin, A. Lavrov, and R. Vilar. Neural Processing Letters, 20 (2): 137 (2004)Development of neural network committee machines for automatic forest fire detection using lidar.A. Fernandes, A. Utkin, A. Lavrov, and R. Vilar. Pattern Recognition, 37 (10): 2039-2047 (2004)Neural Network Based Recognition of Smoke Signatures from Lidar Signals.A. Fernandes, A. Utkin, A. Lavrov, and R. Vilar. Neural Processing Letters, 19 (3): 175-189 (2004)Design of committee machines for classification of single-wavelength lidar signals applied to early forest fire detection.A. Fernandes, A. Utkin, A. Lavrov, and R. Vilar. Pattern Recognition Letters, 26 (5): 625-632 (2005)