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51 |
Evaluation of an algorithm for optical pulse detection in children for application to the Pepper robot
Enthalten in Current directions in biomedical engineering Bd. 7, 2021, Nr. 2: 484-487. 4 S.
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52 |
Evaluation of a surgical treatment algorithm for neglected clubfoot in low-resource settings
Enthalten in International orthopaedics 19.6.2021: 1-10
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53 |
Introducing Machine Learning Using Robots – Design and Integration of Simple Neural Networks and the Q-learning Algorithm in the Robot Simulation Environment of Open Roberta Lab, Accompanied by the Development, Testing, and Evaluation of Complementary Teaching Materials
Olari, Viktoriya. - Köln : Universitäts- und Stadtbibliothek Köln, 2020
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54 |
New Proposal for Size and Size-Distribution Evaluation of Nanoparticles Synthesized via Ultrasonic Spray Pyrolysis Using Search Algorithm Based on Image-Processing Technique
Emil Kaya, Elif. - Aachen : Universitätsbibliothek der RWTH Aachen, 2020
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55 |
Zupfbiopsie zum Ausschluss einer periprothetischen Knieendoprotheseninfektion: Prospektiver Vergleich von gezielter zu ungezielter Probenentnahme und Evaluierung eines diagnostischen Algorithmus
Krauel, Isabelle. - München : Universitätsbibliothek der TU München, 2020
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56 |
Improving the MILP-based security evaluation algorithm against differential/linear cryptanalysis using a divide-and-conquer approach
Enthalten in IACR transactions on symmetric cryptology Bd. 2019, Nr. 4: 438-469
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57 |
Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products
Enthalten in Atmospheric measurement techniques Bd. 13, 2020, Nr. 6: 3263-3275
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58 |
Evaluation of a Motion Correction Algorithm for C-Arm Computed Tomography Acquired During Transarterial Chemoembolization
Enthalten in CardioVascular and interventional radiology 6.12.2020: 1-9
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59 |
Evaluation of cloud computing resource scheduling based on improved optimization algorithm
Enthalten in Complex & intelligent systems 22.9.2020: 1-6
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60 |
Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm
Enthalten in The international journal of cardiovascular imaging 16.7.2020: 1-9
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