Thomas Lange

Ein EMV-Prüfverfahren zur Ermittlung der Störfestigkeit von kompletten Schienenfahrzeugen

Harald Schwarz, Gunnar Löhning, Thomas Lange, 2002 .

Modeling Gate-Level Abstraction Hierarchy Using Graph Convolutional Neural Networks to Predict Functional De-Rating Factors

Dan Alexandrescu, Thomas Lange, Maksim Jenihhin, 2019, 2019 NASA/ESA Conference on Adaptive Hardware and Systems (AHS).

A pressure-sensitive film, tire pressure sensor module, tires, methods and computer program for obtaining data related to the deformations of a tire information

Thomas Lange, André Peine, 2014 .

Understanding multidimensional verification: Where functional meets non-functional

Dan Alexandrescu, Jaan Raik, Tara Ghasempouri, 2019, Microprocess. Microsystems.

On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques

Dan Alexandrescu, Luca Sterpone, Thomas Lange, 2019, 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks – Supplemental Volume (DSN-S).

Functional Failure Rate Due to Single-Event Transients in Clock Distribution Networks

Dan Alexandrescu, Luca Sterpone, Thomas Lange, 2019, 2019 14th International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS).

Tire pressure sensor modules, tire pressure monitoring system, wheel, methods, and computer programs for providing related to a tire pressure information

Thomas Lange, André Peine, 2014 .

mGeoWiki

Thomas Lange, J. Felix Hampe, Sandra Jakob, 2008, MMS.

Method and apparatus for multimedia visualization of complex systems

Thomas Lange, Holger Ernst, Olaf Kopp, 1997 .

Machine Learning to Tackle the Challenges of Transient and Soft Errors in Complex Circuits

Dan Alexandrescu, Luca Sterpone, Thomas Lange, 2019, 2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS).

The Validation of Graph Model-Based, Gate Level Low-Dimensional Feature Data for Machine Learning Applications

Dan Alexandrescu, Thomas Lange, Maksim Jenihhin, 2019, 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC).

Composing Graph Theory and Deep Neural Networks to Evaluate SEU Type Soft Error Effects

Dan Alexandrescu, Thomas Lange, Maksim Jenihhin, 2020, 2020 9th Mediterranean Conference on Embedded Computing (MECO).