Fusion eines tiefenbasierten visuellen Odometrieverfahrens mit IMU-Daten zur Navigation in Gebäuden. master’s thesis
Aschenbrenner, A.
2019, May 8 

White hairy layer on the leaf—inspiration for reflective coatings
Yu, S.; Chen, J.; Liang, G.; Ding, X.; Tang, Y.; Li, Z.
2019. Bioinspiration & biomimetics, 15 (1), Art.-Nr. 016003. doi:10.1088/1748-3190/ab5151 

Thinking about the differing contributions of psychology and sociology for understanding sociotechnical transitions perspectives on energy supply and use
Bögel, P. M.; Upham, P.; Castro, P.
2019. Tecnoscienza, 10 (2), 139–151 

Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons
Daab, T.; Patzer, I.; Mikut, R.; Asfour, T.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 636–643, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035014 

Exoskeleton arm pronation/supination assistance mechanism with a guided double rod system
Dezman, M.; Asfour, T.; Ude, A.; Gams, A.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 559–564, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9034992 

Learning and Adaptation of Inverse Dynamics Models: A Comparison
Hitzler, K.; Meier, F.; Schaal, S.; Asfour, T.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 491–498, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035048 

On Force Synergies in Human Grasping Behavior
Starke, J.; Chatzilygeroudis, K.; Billard, A.; Asfour, T.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 72–78, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035047 

Automated Design of Simple and Robust Manipulators for Dexterous In-Hand Manipulation Tasks using Evolutionary Strategies
Meixner, A.; Hazard, C.; Pollard, N.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 281–288, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035055 

Active vision for extraction of physically plausible support relations
Grotz, M.; Sippel, D.; Asfour, T.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 439–445, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035018 

Resource-Aware Object Classification and Segmentation for Semi-Autonomous Grasping with Prosthetic Hands
Hundhausen, F.; Megerle, D.; Asfour, T.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 215–221, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035054 

Micrometer-accuracy distance measurement using 122 GHz LTCC radar system-in-package
Bhutani, A.; Pauli, M.; Latzko, T.; Gottel, B.; Gehringer, M.; Zwick, T.
2019. 2019 IEEE Asia-Pacific Microwave Conference (APMC), 753–755, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/APMC46564.2019.9038836 

AugerPrime: the Pierre Auger Observatory Upgrade
Pierre Auger Collaboration; Castellina, A.
2019. The European physical journal / Web of Conferences, 210, Article no: 06002. doi:10.1051/epjconf/201921006002  

Quantum effects in axion dark matter
Arza, A.; Chakrabarty, S.; Enomoto, S.; Han, Y.; Sikivie, P.; Todarello, E.
2019, November 25. Structure Formation with Axion Dark matter - Team Research Program (2019), Trieste, Italy, November 25, 2019 

Quantum effects in axion dark matter
Arza, A.; Chakrabarty, S.; Enomoto, S.; Han, Y.; Sikivie, P.; Todarello, E.
2019, September 24. International Workshop on New Physics at the Low Energy Scales (NEPLES 2019), Seoul, South Korea, September 23–27, 2019 

Game-theoretical model on the GDPR: Market for lemons?
Zander, T.; Steinbrück, A.; Birnstill, P.
2019. Journal of intellectual property, information technology and electronic commerce law, 10 (2), 200–208 

Simulation analysis of alternative personnel structures in the shipping division of a tinplate manufacturer
Leupold, M.; Hall, M. van; Höfer, K.; Zülch, G.
2019. Procedia manufacturing, 39, 583–590. doi:10.1016/j.promfg.2020.01.424 

Design of a data acquisition system for condition evaluation and operation optimization of a light rail vehicle and infrastructure
Tesar, M.; Otto, P.; Gratzfeld, P.
2019, October 31. 12th World Congress on Railway Research (WCRR 2019), Tokyo, Japan, October 28–November 1, 2019 

DNA Helicases as Safekeepers of Genome Stability in Plants
Dorn, A.; Puchta, H.
2019. Genes, 10 (12), Art.Nr. 1028. doi:10.3390/genes10121028  

A comparison of shape-based matching with deep-learning-based object detection
Ulrich, M.; Follmann, P.; Neudeck, J.-H.
2019. Technisches Messen, 86 (11), 685–698. doi:10.1515/teme-2019-0076 

A camera model for cameras with hypercentric lenses and some example applications
Ulrich, M.; Steger, C.
2019. Machine vision and applications, 30 (6), 1013–1028. doi:10.1007/s00138-019-01032-w  

Different patterns in the evolution of digital and non-digital ventures’ business models
Koenig, M.; Ungerer, C.; Baltes, G.; Terzidis, O.
2019. Technological forecasting and social change, 146, 844–852. doi:10.1016/j.techfore.2018.05.006 

Alabandite (MnS) in metamorphosed manganiferous rocks at Morro da Mina, Brazil: palaeoenvironmental significance
Cabral, A. R.; Zeh, A.; Silva Viana, N. C. da; Castro, M. P. de; Laufek, F.; Lehmann, B.; Queiroga, G.
2019. European journal of mineralogy, 31 (5-6), 973–982. doi:10.1127/ejm/2019/0031-2879 

Experiments on sandstone alteration under geothermal reservoir conditions and the formation of zeolites
Schmidt, R. B.; Goettlicher, J.; Stober, I.
2019. European journal of mineralogy, 31 (5-6), 929–944. doi:10.1127/ejm/2019/0031-2870 

Regularization approach for network modeling of German power derivative market
Chen, S.; Haerdle, W. K.; Cabrera, B. L.
2019. Energy economics, 83, 180–196. doi:10.1016/j.eneco.2019.06.021 

A Stable Aromatic Tetrasilacyclobutadiene Dication
Sun, X.; Simler, T.; Yadav, R.; Köppe, R.; Roesky, P. W.
2019. Journal of the American Chemical Society, 141 (38), 14987–14990. doi:10.1021/jacs.9b08018 

Engineering medium-range order and polyamorphism in a nanostructured amorphous alloy
Lan, S.; Guo, C.; Zhou, W.; Ren, Y.; Almer, J.; Pei, C.; Hahn, H.; Liu, C.-T.; Feng, T.; Wang, X.-L.; Gleiter, H.
2019. Communications Physics, 2 (1), Art. Nr.: 117. doi:10.1038/s42005-019-0222-9  

A wall-aligned grid generator for non-linear simulations of MHD instabilities in tokamak plasmas
JET Contributors; Pamela, S.; Huijsmans, G.; Thornton, A. J.; Kirk, A.; Smith, S. F.; Hoelzl, M.; Eich, T.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Ahn, J. H.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Albanese, R.; Aldred, V.; et al.
2019. (Team, MAST & Team, JOREK, Eds.) Computer physics communications, 243, 41–50. doi:10.1016/j.cpc.2019.05.007 

Model Predictive Trajectory Planning for Automated Driving
Yi, B.; Bender, P.; Bonarens, F.; Stiller, C.
2019. IEEE Transactions on Intelligent Vehicles, 4 (1), 24–38. doi:10.1109/TIV.2018.2886683 

Novel method for determination of tritium depth profiles in metallic samples
JET Contributors; Pajuste, E.; Kizane, G.; Avotina, L.; Teimane, A. S.; Lescinskis, A.; Vonda, K.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Ahn, J. H.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Albanese, R.; Aldred, V.; Alegre, D.; et al.
2019. Nuclear fusion, 59 (10), Art. Nr.: 106006. doi:10.1088/1741-4326/ab3056 

The comparison between nonlinear and linear preconditioning JFNK method for transient neutronics/thermal-hydraulics coupling problem
Zhang, H.; Guo, J.; Lu, J.; Niu, J.; Li, F.; Xu, Y.
2019. Annals of nuclear energy, 132, 357–368. doi:10.1016/j.anucene.2019.04.053 

A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET
JET Contributors; Pau, A.; Fanni, A.; Carcangiu, S.; Cannas, B.; Sias, G.; Murari, A.; Rimini, F.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Ahn, J. H.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Albanese, R.; Aldred, V.; et al.
2019. Nuclear fusion, 59 (10), Art. Nr.: 106017. doi:10.1088/1741-4326/ab2ea9 

A new mechanism for increasing density peaking in tokamaks: improvement of the inward particle pinch with edge E x B shearing
JET Contributors; Garcia, J.; Doerk, H.; Goerler, T.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afanasev, V.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Alarcon, T.; Albanese, R.; Alegre, D.; Aleiferis, S.; Alessi, E.; Aleynikov, P.; et al.
2019. Plasma physics and controlled fusion, 61 (10), Art. Nr.: 104002. doi:10.1088/1361-6587/ab31a4 

Modification of the Alfven wave spectrum by pellet injection
JET Contributors; Oliver, H. J. C.; Sharapov, S. E.; Breizman, B. N.; Fontanilla, A. K.; Spong, D. A.; Terranova, D.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afanasev, V.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Alarcon, T.; Albanese, R.; Alegre, D.; et al.
2019. Nuclear fusion, 59 (10), Art. Nr.: 106031. doi:10.1088/1741-4326/ab382b 

Ion cyclotron resonance heating scenarios for DEMO
JET Contributors; Van Eester, D.; Lerche, E.; Ragona, R.; Messiaen, A.; Wauters, T.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afanasev, V.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Alarcon, T.; Albanese, R.; Alegre, D.; Aleiferis, S.; et al.
2019. Nuclear fusion, 59 (10), Art. Nr.: 106051. doi:10.1088/1741-4326/ab318b 

Sensor Integration with ZigBee Inside a Connected Home with a Local and Open Sourced Framework: Use Cases and Example Implementation
Hartmann, D.
2019. 2019 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 5-7 Dec. 2019, 1243–1246, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CSCI49370.2019.00233 

Control of the hydrogen:deuterium isotope mixture using pellets in JET
JET Contributors; Valovič, M.; Baranov, Y.; Boboc, A.; Buchanan, J.; Citrin, J.; Delabie, E.; Frassinetti, L.; Fontdecaba, J. M.; Garzotti, L.; Giroud, C.; McKean, R.; Lerche, E.; Kiptily, V.; Köchl, F.; Marin, M.; Maslov, M.; Menmuir, S.; Tvalashvili, G.; Weisen, H.
2019. Nuclear fusion, 59 (10), Art. Nr.: 106047. doi:10.1088/1741-4326/ab3812 

Filling invariants of stratified nilpotent Lie groups
Gruber, M.
2019. Mathematische Zeitschrift, 293 (1-2), 39–79. doi:10.1007/s00209-018-2168-0 

Corrigendum to “Experimental investigation on heat transfer in laminar, transitional and turbulent circular pipe flow” [Int. J. Heat Mass Transfer 95 (2016) 1008–1018]
Bertsche, D.; Knipper, P.; Wetzel, T.
2019. International journal of heat and mass transfer, 142, Art. Nr.: 118445. doi:10.1016/j.ijheatmasstransfer.2019.118445 

Micro Process Engineering and Flow Chemistry – Continuation of a Success Story [Editorial]
Dittmeyer, R.
2019. Chemical engineering & technology, 42 (10), 1984. doi:10.1002/ceat.201970105 

Corrigendum to “Development of the material property handbook and database of CuCrZr” [Fusion Eng. Des. 144 (July) (2019) 148–153]
Zhang, K.; Gaganidze, E.; Gorley, M.
2019. Fusion engineering and design, 147, Art.Nr.: 111263. doi:10.1016/j.fusengdes.2019.111263 

T67Novel phenotyping in psychiatric disorders: ambulatory assessment in sleep deprivation
Sirignano, L.; Foo, J. C.; Trautmann, N.; Kim, J.; Witt, S.; Streit, F.; Frank, J.; Treutlein, J.; Ebner-Priemer, U.; Schilling, C.; Schredl, M.; Yamamoto, Y.; Gilles, M.; Deuschle, M.; Rietschel, M.
2019. European neuropsychopharmacology, 29 (Supplement 5), S251. doi:10.1016/j.euroneuro.2019.08.266 

Sacrificial Bioprinting of a Mammary Ductal Carcinoma Model
Duchamp, M.; Liu, T.; Genderen, A. M.; Kappings, V.; Oklu, R.; Ellisen, L. W.; Zhang, Y. S.
2019. Biotechnology journal, 14 (10), Art. Nr.: 1700703. doi:10.1002/biot.201700703 

Auswertung von Ermüdungsversuchsdaten zur Überprüfung von Kerbfallklassen nach EC3‐1‐9
Feldmann, M.; Bartsch, H.; Kuhlmann, U.; Drebenstedt, K.; Ummenhofer, T.; Seyfried, B.
2019. Stahlbau, 88 (10), 1004–1017. doi:10.1002/stab.201900066 

Guest Editorial: Medium Voltage Power Electronics Technologies for Electrical Energy Generation, Conversion and Storage
Dujic, D.; Hiller, M.
2019. IET electric power applications, 13 (10), 1429–1430. doi:10.1049/iet-epa.2019.0633 

Origin of Performance Enhancement in TiO2-Carbon Nanotube Composite Perovskite Solar Cells
Macdonald, T. J.; Batmunkh, M.; Lin, C.-T.; Kim, J.; Tune, D. D.; Ambroz, F.; Li, X.; Xu, S.; Sol, C.; Papakonstantinou, I.; McLachlan, M. A.; Parkin, I. P.; Shapter, J. G.; Durrant, J. R.
2019. Small methods, 3 (10), Art. Nr.: 1900164. doi:10.1002/smtd.201900164 

Long-term grazing effects on soil-atmosphere exchanges of CO2, CH4 and N2O at different grasslands in Inner Mongolia: A soil core study
Chen, W.; Zheng, X.; Wolf, B.; Yao, Z.; Liu, C.; Butterbach-Bahl, K.; Brüggemann, N.
2019. Ecological indicators, 105, 316–328. doi:10.1016/j.ecolind.2017.09.035 

Towards Respiration Rate Monitoring Using an In-Ear Headphone Inertial Measurement Unit
Röddiger, T.; Wolffram, D.; Laubenstein, D.; Budde, M.; Beigl, M.
2019. UbiComp ’19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing - EarComp’19: Proceedings of the 1st International Workshop on Earable Computing - London, United Kingdom, 9th-13th September 2019, 48–53, Association for Computing Machinery (ACM). doi:10.1145/3345615.3361130  

Dissolved organic carbon leaching from montane grasslands under contrasting climate, soil and management conditions
Fu, J.; Gasche, R.; Wang, N.; Lu, H.; Butterbach-Bahl, K.; Kiese, R.
2019. Biogeochemistry, 145 (1-2), 47–61. doi:10.1007/s10533-019-00589-y 

Experimentelle, analytische und numerische Untersuchungen zur Verdichtungsprognose von Sand bei der Rütteldruckverdichtung
Kimmig, I.; Triantafyllidis, T.; Knittel, L.
2019. Bautechnik, 96 (10), 760–772. doi:10.1002/bate.201900038 

A Ka/V band-switchable LNA with 2.8/3.4 dB noise figure
Nawaz, A. A.; Albrecht, J. D.; Cagri Ulusoy, A.
2019. IEEE microwave and wireless components letters, 29 (10), 662–664. doi:10.1109/LMWC.2019.2939540 

Social Support and Modelling in Relation to Physical Activity Participation and Outdoor Play in Preschool Children
Reimers; Boxberger; Schmidt; Niessner; Demetriou; Marzi; Woll
2019. Children, 6 (10), Art. Nr.: 115. doi:10.3390/children6100115  

How modern are renewables? The misrecognition of traditional solar thermal energy in Peru’s energy transition
Israel, A.; Jehling, M.
2019. Energy policy, 133, Art. Nr.: 110905. doi:10.1016/j.enpol.2019.110905 

Automated analysis of single-tone spectroscopic data for cQED systems
Fedorov, G. P.; Ustinov, A. V.
2019. Quantum science and technology, 4 (4), Art. Nr.: 045009. doi:10.1088/2058-9565/ab478b 

Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties
Xie, M.; Prasetya, N.; Ladewig, B. P.
2019. Inorganic chemistry communications, 108, Art. Nr.: 107512. doi:10.1016/j.inoche.2019.107512 

Secure Wireless Communications for Vehicle-to-Everything [Editorial]
Marojevic, V.; Kamhoua, C.; Reed, J.; Jondral, F.
2019. IEEE communications magazine, 57 (10), 76. doi:10.1109/MCOM.2019.8875718 

Planar Architecture for Studying a Fluxonium Qubit
Moskalenko, I. N.; Besedin, I. S.; Tsitsilin, I. A.; Mazhorin, G. S.; Abramov, N. N.; Grigor’ev, A.; Rodionov, I. A.; Dobronosova, A. A.; Moskalev, D. O.; Pishchimova, A. A.; Ustinov, A. V.
2019. JETP letters, 110 (8), 574–579. doi:10.1134/S0021364019200074 

The inherently democratic nature of technology assessment
Grunwald, A.
2019. Science and public policy, 46 (5), 702–709. doi:10.1093/scipol/scz023 

Spontaneous deformation of flexible ferromagnetic ribbons induced by Dzyaloshinskii-Moriya interaction
Yershov, K. V.; Kravchuk, V. P.; Sheka, D. D.; Brink, J. van den; Gaididei, Y.
2019. Physical review / B, 100 (14), Art. Nr.: 140407. doi:10.1103/PhysRevB.100.140407 

Photoelectron Spectroscopy and Theoretical Studies of PCSe−, AsCS−, AsCSe−, and NCSe−: Insights into the Electronic Structures of the Whole Family of ECX− Anions (E=N, P, As; X=O, S, Se)
Yuan, Q.; Tambornino, F.; Hinz, A.; Borden, W. T.; Goicoechea, J. M.; Chen, B.; Wang, X.-B.
2019. Angewandte Chemie / International edition, 58 (42), 15062–15068. doi:10.1002/anie.201906904 

Direct Catalytic Route to Biomass-Derived 2,5-Furandicarboxylic Acid and Its Use as Monomer in a Multicomponent Polymerization
Schade, O. R.; Dannecker, P.-K.; Kalz, K. F.; Steinbach, D.; Meier, M. A. R.; Grunwaldt, J.-D.
2019. ACS omega, 4 (16), 16972–16979. doi:10.1021/acsomega.9bo2373  

Bulk Superconductivity and Role of Fluctuations in the Iron-Based Superconductor FeSe at High Pressures
Gati, E.; Böhmer, A. E.; Bud’ko, S. L.; Canfield, P. C.
2019. Physical review letters, 123 (16), Art. Nr.: 167002. doi:10.1103/PhysRevLett.123.167002 

Observation of a new structure near 10.75 GeV in the energy dependence of the e+e−→ ϒ (nS)π+π− (n = 1, 2, 3) cross sections
Belle Collaboration; Mizuk, R.; Bondar, A.; Adachi, I.; Aihara, H.; Asner, D. M.; Aulchenko, V.; Aushev, T.; Ayad, R.; Badhrees, I.; Bahinipati, S.; Bakich, A. M.; Behera, P.; Beleño, C.; Berger, M.; Bhardwaj, V.; Bilka, T.; Biswal, J.; Bozek, A.; Bračko, M.; et al.
2019. Journal of high energy physics, 2019 (10), Art. Nr.: 220. doi:10.1007/JHEP10(2019)220  

Cobalt and Iron Ions in MgO Nanocrystals: Should They Stay or Should They Go
Niedermaier, M.; Schwab, T.; Dolcet, P.; Bernardi, J.; Gross, S.; Bockstedte, M.; Diwald, O.
2019. The journal of physical chemistry <Washington, DC> / C, 123 (42), 25991–26004. doi:10.1021/acs.jpcc.9b07350 

Operationalising ecosystem services in Europe [Editorial]
Rounsevell, M. D. A.; Metzger, M. J.; Walz, A.
2019. Regional environmental change, 19 (8), 2143–2149. doi:10.1007/s10113-019-01560-1 

Influence of electric fields on metal self-diffusion barriers and its consequences on dendrite growth in batteries
Jäckle, M.; Groß, A.
2019. The journal of chemical physics, 151 (23), Article no: 234707. doi:10.1063/1.5133429 

Nukleare Sicherheitsforschung. BMBF geförderte FuE-Vorhaben. Berichtszeitraum: 1. Januar - 30. Juni 2019
Projektträger Karlsruhe (Ed.)
2019. Projektträger Karlsruhe. doi:10.5445/IR/1000118490  

Entsorgung radioaktiver Abfälle. BMWi geförderte FuE-Vorhaben. Berichtszeitraum: 1. Januar - 30. Juni 2019
Projektträgerschaft Entsorgung (Ed.)
2019. Projektträger Karlsruhe. doi:10.5445/IR/1000118488  

ARCUS greencycling: Chemical recycling of plastic waste
Morgano, M. T.; Odenthal, D.; Klatte, M.; Leibold, H.; Seifert, H.
2019. 37th International Conference on Thermal Treatment Technologies and Hazardous Waste, 118–133, Curran 

Historical reinterpretation of damaging intensity events and site effects in eastern turkey
Shirazian, S.; Daniell, J. E.; Wenzel, F.
2019. Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions. Ed.: F. Silvestri, 5003–5010, CRC Press 

Comparison of Activation Times Estimation for Potential-Based ECG Imaging
Schaufelberger, M.; Schuler, S.; Bear, L.; Cluitmans, M.; Coll-Font, J.; Önak, O. N.; Dössel, O.; Brooks, D.
2019. Computers in cardiology, 46, Article: 9005827. doi:10.23919/CinC49843.2019.9005827 

Influence of Fibrotic Tissue Arrangement on Intracardiac Electrograms during Persistent Atrial Fibrillation
Sánchez, J.; Nothstein, M.; Unger, L.; Saiz, J.; Trénor, B.; Dössel, O.; Loewe, A.
2019. Computers in cardiology, 46, Article: 9005752. doi:10.23919/CinC49843.2019.9005752 

Comparison of Voltage Map Calculation Methods Using Non-Fractionated EGM Signals in a Persistent AF Patient
Nairn, D.; Lehrmann, H.; Jadidi, A.; Dössel, O.; Loewe, A.
2019. Computers in cardiology, 46, Article: 9005520. doi:10.23919/CinC49843.2019.9005520 

Delay-Based Regularization for ECG Imaging of Transmembrane Voltages
Schuler, S.; Potyagaylo, D.; Dössel, O.
2019. Computers in cardiology, 46, Article: 9005891. doi:10.23919/CinC49843.2019.9005891 

Noise Quantification and Noise Reduction for Unipolar and Bipolar Electrograms
Unger, L. A.; Oesterlein, T. G.; Loewe, A.; Dössel, O.
2019. Computers in cardiology, 46, Article: 9005916. doi:10.23919/CinC49843.2019.9005916 

Observation Guided Systematic Reduction of a Detailed Human Ventricular Cell Model
Gerach, T.; Weiß, D.; Dössel, O.; Loewe, A.
2019. Computers in cardiology, 46, Article: 9005729. doi:10.23919/CinC49843.2019.9005729 

Predicting Grasp Success with a Soft Sensing Skin and Shape-Memory Actuated Gripper
Zimmer, J.; Hellebrekers, T.; Asfour, T.; Majidi, C.; Kroemer, O.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7120–7127, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8967558 

Robot Learning of Shifting Objects for Grasping in Cluttered Environments
Berscheid, L.; Meißner, P.; Kröger, T.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 612–618, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8968042 

An Interactive Indoor Drone Assistant
Fuhrman, T.; Schneider, D.; Altenberg, F.; Nguyen, T.; Blasen, S.; Constantin, S.; Waibe, A.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 6052–6057, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8967587 

Combining spiking motor primitives with a behaviour-based architecture to model locomotion for six-legged robots
Tieck, J. C. V.; Rutschke, J.; Kaiser, J.; Schulze, M.; Buettner, T.; Reichard, D.; Roennau, A.; DIllmann, R.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4161–4168, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8968128 

Learning Via-Point Movement Primitives with Inter- and Extrapolation Capabilities
Zhou, Y.; Gao, J.; Asfour, T.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4301–4308, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8968586 

Minimal Sensor Setup in Lower Limb Exoskeletons for Motion Classification based on Multi-Modal Sensor Data
Patzer, I.; Asfour, T.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 8164–8170, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8968007 

General Hand Guidance Framework using Microsoft HoloLens
Puljiz, D.; Stohr, E.; Riesterer, K. S.; Hein, B.; Kroger, T.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5185–5190, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8967649 

Knowledge Database and Regionalization of JRODOS for the HARMONE Project
Bai, S.; Staudt, C.; Kaiser, J. C.; Raskob, W.
2019. 4th NERIS Workshop : “Adapting nuclear and radiological emergency preparedness, response and recovery to a changing world”, Proceedings, 87–94, CERN 

Special Section: Selected Papers from the 12th European Conference on Antennas and Propagation (EuCAP 2018) Conference
Kurner, T.; Castaner, M. S.
2019. IET microwaves, antennas and propagation, 13 (13), 2199. doi:10.1049/iet-map.2019.0837 

Interpretative and predictive modelling of Joint European Torus collisionality scans
JET Contributors; Eriksson, F.; Fransson, E.; Oberparleiter, M.; Nordman, H.; Strand, P.; Salmi, A.; Tala, T.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afanasev, V.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Alarcon, T.; Albanese, R.; et al.
2019. Plasma physics and controlled fusion, 61 (11), Art. Nr.: 115004. doi:10.1088/1361-6587/ab2f45  

Dislocation multiplication by cross-slip and glissile reaction in a dislocation based continuum formulation of crystal plasticity
Sudmanns, M.; Stricker, M.; Weygand, D.; Hochrainer, T.; Schulz, K.
2019. Journal of the mechanics and physics of solids, 132, Art. Nr.: 103695. doi:10.1016/j.jmps.2019.103695 

A study on geometric shape factors for turbulent mixing coefficents in rod bundles
Shen, D.; Liu, X.; Cheng, X.
2019. Nuclear engineering and design, 353, Art. Nr.: 110235. doi:10.1016/j.nucengdes.2019.110235 

Uncovering Bidder Behaviour in the German PV Auction Pilot: Insights from Agent-based Modeling
Welisch, M.; Kreiss, J.
2019. The energy journal, 40 (6), 23–39. doi:10.5547/01956574.40.6.mwel 

A Spintronics Memory PUF for Resilience Against Cloning Counterfeit
Ben Dodo, S.; Bishnoi, R.; Mohanachandran Nair, S.; Tahoori, M. B.
2019. IEEE transactions on very large scale integration (VLSI) systems, 27 (11), 2511–2522. doi:10.1109/TVLSI.2019.2931481 

Akustische Prozessüberwachung für das Laserstrahlschmelzen (LBM) mit neuronalen Netzen: Eine Potentialbewertung
Eschner, N.; Weiser, L.; Häfner, B.; Lanza, G.
2019. Technisches Messen, 86 (11), 661–672. doi:10.1515/teme-2019-0070 

Über die Detektierbarkeit von Objekten in Bildern mittels quantisierter neuronaler Netze [ About the detectability of objects in images by quantized neural networks]
Mitschke, N.; Heizmann, M.
2019. Technisches Messen, 86 (11), 651–660. doi:10.1515/teme-2019-0068 

Health indication of electric motors using a hybrid modeling approach
Bergs, C.; Khalil, M.; Hildebrandt, M.; Heizmann, M.; Wüchner, R.; Bletzinger, K.-U.; Tresp, V.
2019. Technisches Messen, 86 (11), 640–650. doi:10.1515/teme-2019-0082 

Expertenforum Trends in der industriellen Mess- und Automatisierungstechnik – Von der Messung zur Information
Heizmann, M.; Sommer, K.-D.
2019. Technisches Messen, 86 (11), 619–622. doi:10.1515/teme-2019-0114 

Modeling and control of multimodal and hybrid energy systems (Editorial)
Wolter, M.; Hagenmeyer, V.
2019. Automatisierungstechnik, 67 (11), 891–892. doi:10.1515/auto-2019-0112  

Volumetric investigation of the hippocampus in rat offspring due to diabetes in pregnancy–A stereological study
Sadeghi, A.; Asghari, H.; Hami, J.; Mohasel Roodi, M.; Mostafaee, H.; Karimipour, M.; Namavar, M.; Idoon, F.
2019. Journal of chemical neuroanatomy, 101, Art. Nr.: 101669. doi:10.1016/j.jchemneu.2019.101669 

Convenient diastereoselective synthesis of annulated 3-substituted-(5S*,6S*,Z)-2-(2-(2,4-dinitrophenyl)hydrazono)-5,6-diphenyl-1,3-thiazinan-4-ones
Hassan, A. A.; Mohamed, N. K.; Aly, A. A.; Tawfeek, H. N.; Hopf, H.; Bräse, S.; Nieger, M.
2019. Molecular diversity, 23 (4), 821–828. doi:10.1007/s11030-018-09912-5 

Locust: C++ software for simulation of RF detection
Ashtari Esfahani, A.; Böser, S.; Buzinsky, N.; Cervantes, R.; Claessens, C.; Viveiros, L. de; Fertl, M.; Formaggio, J. A.; Gladstone, L.; Guigue, M.; Heeger, K. M.; Johnston, J.; Jones, A. M.; Kazkaz, K.; LaRoque, B. H.; Lindman, A.; Machado, E.; Monreal, B.; Morrison, E. C.; Nikkel, J. A.; et al.
2019. New journal of physics, 21 (11), Art. Nr.: 113051. doi:10.1088/1367-2630/ab550d  

Benchmarking Five Global Optimization Approaches for Nano-optical Shape Optimization and Parameter Reconstruction
Schneider, P.-I.; Garcia Santiago, X.; Soltwisch, V.; Hammerschmidt, M.; Burger, S.; Rockstuhl, C.
2019. ACS photonics, 6 (11), 2726–2733. doi:10.1021/acsphotonics.9b00706 

Gewindeformschrauben als Alternative zu metrischen Schrauben
Krüger, H.; Ummenhofer, T.
2019. Stahlbau, 88 (11), 1066–1070. doi:10.1002/stab.201900078 

Market diffusion of alternative fuels and powertrains in heavy-duty vehicles: A literature review
Kluschke, P.; Gnann, T.; Plötz, P.; Wietschel, M.
2019. Energy reports, 5, 1010–1024. doi:10.1016/j.egyr.2019.07.017