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Disambiguation of "Schotten, Hans Dieter"

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Analysis of effective SINR mapping models for MIMO OFDM in LTE system.

, and . IWCMC, page 1509-1515. IEEE, (2013)

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Hon. -Prof. Dr. Hans Dieter Seghezzi University of Stuttgart

Hans-Dieter Hilpert University of Stuttgart

Hon. -Prof. Dr. -Ing. Hans-Dieter Huber University of Stuttgart

apl. Prof. Dr. -Ing. Niels Hansen University of Stuttgart

Replication Data for: Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis, and . Dataset, (2024)Related to: Schneider, Andreas; Lystbæk, Thomas B.; Markthaler, Daniel; Hansen, Niels; Hauer, Bernhard (2024): Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis. In: Nature Communications, 15, 4925. doi: 10.1038/s41467-024-48993-9.

apl. Prof. Dr. -Ing. Michael Hanss University of Stuttgart

 

Other publications of authors with the same name

Analysis of effective SINR mapping models for MIMO OFDM in LTE system., and . IWCMC, page 1509-1515. IEEE, (2013)Algebraische Konstruktion gut korrelierender Sequenzen und Analyse ihrer Leistungsfähigkeit in Codemultiplex-Systemen.. RWTH Aachen University, (1997)The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm., , , , , , , , , and 4 other author(s). IJDSN, 12 (2): 2897479:1-2897479:17 (2016)A Comparison of Wireless Channel Predictors: Artificial Intelligence Versus Kalman Filter., and . ICC, page 1-6. IEEE, (2019)Neural Network-Based Channel Prediction and Its Performance in Multi-Antenna Systems., and . VTC-Fall, page 1-6. IEEE, (2018)Security in Process: Detecting Attacks in Industrial Process Data., , , and . CECC, page 5:1-5:6. ACM, (2019)Security in Process: Visually Supported Triage Analysis in Industrial Process Data., , , , and . CoRR, (2019)Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests., , and . SoftCOM, page 1-6. IEEE, (2019)Demystifying Deception Technology: A Survey., , , , , , , and . CoRR, (2018)Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set., , , and . ARES, page 41:1-41:9. ACM, (2018)