@incollection{CalliessKrollLudwigs2015, author = {Calliess, Gralf-Peter and Kroll-Ludwigs, Kathrin}, title = {Art. 6 Rome III-Regulation (consent and material validity)}, series = {Rome Regulations : commentary}, booktitle = {Rome Regulations : commentary}, publisher = {Wolters Kluwer}, isbn = {9789041147547}, year = {2015}, language = {en} } @incollection{KrollLudwigs2015, author = {Kroll-Ludwigs, Kathrin}, title = {Art. 7 Rome III-Regulation (formal validity)}, series = {Rome Regulations : commentary}, booktitle = {Rome Regulations : commentary}, editor = {Colliess, Gralf-Peter}, edition = {2nd ed.}, publisher = {Wolters Kluwer}, isbn = {9789041147547}, year = {2015}, language = {en} } @article{SchererHoer1997, author = {Scherer, Ulrich W. and H{\"o}r, G.}, title = {Artifacts and Pitfalls in FDG-PET Whole-Body Scans / U.W. Scherer, G. H{\"o}r}, series = {Radionuclides for Mammary Gland - Current Status and Future Aspects / G. S. Limouris [Hrsg.]}, journal = {Radionuclides for Mammary Gland - Current Status and Future Aspects / G. S. Limouris [Hrsg.]}, publisher = {Mediterra Publishers}, address = {Athen}, isbn = {960-85227-6-5}, pages = {37 -- 42}, year = {1997}, language = {en} } @inproceedings{StoebeHoefkenSchubaetal.2013, author = {St{\"o}be, Rolf and H{\"o}fken, Hans-Wilhelm and Schuba, Marko and Breuer, Michael}, title = {Artificial ageing of mobile devices using a simulated GSM/GPRS network}, series = {Eighth International Conference on Availability, Reliability and Security (ARES) : 2-6 Sept. 2013, Regensburg}, booktitle = {Eighth International Conference on Availability, Reliability and Security (ARES) : 2-6 Sept. 2013, Regensburg}, publisher = {IEEE}, pages = {493 -- 497}, year = {2013}, language = {en} } @article{SchoeningTurekHeidenetal.2009, author = {Sch{\"o}ning, Michael Josef and Turek, M. and Heiden, W. and Riesen, A. and Chhabda, T. A. and Schubert, J. and Kr{\"u}ger, P. and Keusgen, M.}, title = {Artificial intelligence/fuzzy logic method for analysis of combined signals from heavy metal chemical sensors}, series = {Electrochimica Acta. 54 (2009), H. 25 Sp. Iss. SI}, journal = {Electrochimica Acta. 54 (2009), H. 25 Sp. Iss. SI}, publisher = {Elsevier}, address = {New York}, isbn = {0013-4686}, pages = {6082 -- 6088}, year = {2009}, language = {en} } @article{FayyaziSardarThomasetal.2023, author = {Fayyazi, Mojgan and Sardar, Paramjotsingh and Thomas, Sumit Infent and Daghigh, Roonak and Jamali, Ali and Esch, Thomas and Kemper, Hans and Langari, Reza and Khayyam, Hamid}, title = {Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles}, volume = {15}, number = {6}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/su15065249}, pages = {38}, year = {2023}, abstract = {Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among the existing technologies, hydrogen fuel cell electric vehicles and fuel cell hybrid electric vehicles may have minimal contributions to greenhouse gas emissions and thus are the prime choices for environmental concerns. However, energy management in fuel cell electric vehicles and fuel cell hybrid electric vehicles is a major challenge. Appropriate control strategies should be used for effective energy management in these vehicles. On the other hand, there has been significant progress in artificial intelligence, machine learning, and designing data-driven intelligent controllers. These techniques have found much attention within the community, and state-of-the-art energy management technologies have been developed based on them. This manuscript reviews the application of machine learning and intelligent controllers for prediction, control, energy management, and vehicle to everything (V2X) in hydrogen fuel cell vehicles. The effectiveness of data-driven control and optimization systems are investigated to evolve, classify, and compare, and future trends and directions for sustainability are discussed.}, language = {en} } @article{ValeroBung2017, author = {Valero, Daniel and Bung, Daniel B.}, title = {Artificial Neural Networks and pattern recognition for air-water flow velocity estimation using a single-tip optical fibre probe}, series = {Journal of Hydro-environment Research}, volume = {19}, journal = {Journal of Hydro-environment Research}, number = {3}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1570-6443}, doi = {10.1016/j.jher.2017.08.004}, pages = {150 -- 159}, year = {2017}, language = {en} } @article{HunkerGossmannRamanetal.2021, author = {Hunker, Jan L. and Gossmann, Matthias and Raman, Aravind Hariharan and Linder, Peter}, title = {Artificial neural networks in cardiac safety assessment: Classification of chemotherapeutic compound effects on hiPSC-derived cardiomyocyte contractility}, series = {Journal of Pharmacological and Toxicological Methods}, volume = {111}, journal = {Journal of Pharmacological and Toxicological Methods}, number = {Article number 107044}, publisher = {Elsevier}, address = {New York}, issn = {1056-8719}, doi = {10.1016/j.vascn.2021.107044}, year = {2021}, language = {en} } @article{Fabo1993, author = {Fabo, Sabine}, title = {Arts and media : towards an universal understanding}, series = {Leonardo}, volume = {26(1993)}, journal = {Leonardo}, number = {4}, issn = {0024-094X}, pages = {316 -- 319}, year = {1993}, language = {en} } @article{PaulssenKongArciszewskietal.2012, author = {Paulßen, Elisabeth and Kong, Shushu and Arciszewski, Pawel and Wielbalck, Swantje and Abram, Ulrich}, title = {Aryl and NHC Compounds of Technetium and Rhenium}, series = {Journal of the American Chemical Society}, volume = {134}, journal = {Journal of the American Chemical Society}, number = {22}, publisher = {ACS Publications}, address = {Washington, DC}, issn = {1520-5126}, doi = {10.1021/ja3033718}, pages = {9118 -- 9121}, year = {2012}, abstract = {Air- and water-stable phenyl complexes with nitridotechnetium(V) cores can be prepared by straightforward procedures. [TcNPh2(PPh3)2] is formed by the reaction of [TcNCl2(PPh3)2] with PhLi. The analogous N-heterocyclic carbene (NHC) compound [TcNPh2(HLPh)2], where HLPh is 1,3,4-triphenyl-1,2,4-triazol-5-ylidene, is available from (NBu4)[TcNCl4] and HLPh or its methoxo-protected form. The latter compound allows the comparison of different Tc-C bonds within one compound. Surprisingly, the Tc chemistry with such NHCs does not resemble that of corresponding Re complexes, where CH activation and orthometalation dominate.}, language = {en} }