Benjamin Lindemann

About Benjamin Lindemann

Benjamin Lindemann, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Universität Stuttgart, specializes in the field of Cyber-Physical Systems, Neural Networks, Automatic Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systematic Validation for Automated Driving

Systematisches Testen für autonomes Fahren

Systematic testing for autonomous driving

Datengetriebene Kompensation anomaler Prozessdynamiken in Automatisierungssystemen auf Basis adaptiver LSTM-Netze

Enhancing an intelligent digital twin with a self-organized reconfiguration management based on adaptive process models

A survey on long short-term memory networks for time series prediction

A survey on anomaly detection for technical systems using LSTM networks

Adaptive Quality Control for discrete large-scale Manufacturing Systems subjected to Disturbances

Benjamin Lindemann Information

University

Position

Institut für Automatisierungstechnik und Softwaresysteme

Citations(all)

849

Citations(since 2020)

848

Cited By

103

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Benjamin Lindemann Skills & Research Interests

Cyber-Physical Systems

Neural Networks

Automatic Control

Top articles of Benjamin Lindemann

Systematic Validation for Automated Driving

2021/5/6

Michael Weyrich
Michael Weyrich

H-Index: 18

Benjamin Lindemann
Benjamin Lindemann

H-Index: 4

Systematisches Testen für autonomes Fahren

ATZelektronik

2021/3

Michael Weyrich
Michael Weyrich

H-Index: 18

Benjamin Lindemann
Benjamin Lindemann

H-Index: 4

Systematic testing for autonomous driving

ATZelectronics worldwide

2021/3

Michael Weyrich
Michael Weyrich

H-Index: 18

Benjamin Lindemann
Benjamin Lindemann

H-Index: 4

Datengetriebene Kompensation anomaler Prozessdynamiken in Automatisierungssystemen auf Basis adaptiver LSTM-Netze

2021

Enhancing an intelligent digital twin with a self-organized reconfiguration management based on adaptive process models

Procedia CIRP

2021/1/1

A survey on long short-term memory networks for time series prediction

Procedia Cirp

2021/1/1

A survey on anomaly detection for technical systems using LSTM networks

2021/10/1

Adaptive Quality Control for discrete large-scale Manufacturing Systems subjected to Disturbances

2020/9/8

Anomaly detection and prediction in discrete manufacturing based on cooperative LSTM networks

2020/8/20

See List of Professors in Benjamin Lindemann University(Universität Stuttgart)

Co-Authors

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