TY  - BOOK
A1  - Mayer, Claudia
T1  - Art : from prehistoric art to modernism / [Text: Claudia Mayer-Iswandy]
Y1  - 2001
SN  - 3-7701-7048-2
N1  - (Flipguide)
PB  - DuMont
CY  - Köln
ER  - 
TY  - CHAP
A1  - Kroll-Ludwigs, Kathrin
ED  - Calliess, Gralf-Peter
T1  - Art. 5 Rom III-Regulation (choice of applicable law by the parties)
T2  - Rome Regulations : commentary
Y1  - 2015
SN  - 9789041147547
PB  - Wolters Kluwer
ET  - 2nd ed.
ER  - 
TY  - CHAP
A1  - Calliess, Gralf-Peter
A1  - Kroll-Ludwigs, Kathrin
T1  - Art. 6 Rome III-Regulation (consent and material validity)
T2  - Rome Regulations : commentary
Y1  - 2015
SN  - 9789041147547
PB  - Wolters Kluwer
ER  - 
TY  - CHAP
A1  - Kroll-Ludwigs, Kathrin
ED  - Colliess, Gralf-Peter
T1  - Art. 7 Rome III-Regulation (formal validity)
T2  - Rome Regulations :  commentary
Y1  - 2015
SN  - 9789041147547
PB  - Wolters Kluwer
ET  - 2nd ed.
ER  - 
TY  - JOUR
A1  - Scherer, Ulrich W.
A1  - Hör, G.
T1  - Artifacts and Pitfalls in FDG-PET Whole-Body Scans / U.W. Scherer, G. Hör
JF  - Radionuclides for Mammary Gland - Current Status and Future Aspects / G. S. Limouris [Hrsg.]
Y1  - 1997
SN  - 960-85227-6-5
SP  - 37
EP  - 42
PB  - Mediterra Publishers
CY  - Athen
ER  - 
TY  - CHAP
A1  - Stöbe, Rolf
A1  - Höfken, Hans-Wilhelm
A1  - Schuba, Marko
A1  - Breuer, Michael
T1  - Artificial ageing of mobile devices using a simulated GSM/GPRS network
T2  - Eighth International Conference on Availability, Reliability and Security (ARES) : 2-6 Sept. 2013, Regensburg
Y1  - 2013
SP  - 493
EP  - 497
PB  - IEEE
ER  - 
TY  - JOUR
A1  - Schöning, Michael Josef
A1  - Turek, M.
A1  - Heiden, W.
A1  - Riesen, A.
A1  - Chhabda, T. A.
A1  - Schubert, J.
A1  - Krüger, P.
A1  - Keusgen, M.
T1  - Artificial intelligence/fuzzy logic method for analysis of combined signals from heavy metal chemical sensors
JF  - Electrochimica Acta. 54 (2009), H. 25 Sp. Iss. SI
Y1  - 2009
SN  - 0013-4686
SP  - 6082
EP  - 6088
PB  - Elsevier
CY  - New York
ER  - 
TY  - JOUR
A1  - Fayyazi, Mojgan
A1  - Sardar, Paramjotsingh
A1  - Thomas, Sumit Infent
A1  - Daghigh, Roonak
A1  - Jamali, Ali
A1  - Esch, Thomas
A1  - Kemper, Hans
A1  - Langari, Reza
A1  - Khayyam, Hamid
T1  - Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles
N2  - 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.
KW  - optimization system
KW  - intelligent control
KW  - fuel cell vehicle
KW  - machine learning
KW  - artificial intelligence
KW  - intelligent energy management
Y1  - 2023
U6  - http://dx.doi.org/10.3390/su15065249
N1  - This article belongs to the Special Issue "Circular Economy and Artificial Intelligence"
VL  - 15
IS  - 6
SP  - 38
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Valero, Daniel
A1  - Bung, Daniel B.
T1  - Artificial Neural Networks and pattern recognition for air-water flow velocity estimation using a single-tip optical fibre probe
JF  - Journal of Hydro-environment Research
Y1  - 2017
U6  - http://dx.doi.org/10.1016/j.jher.2017.08.004
SN  - 1570-6443
VL  - 19
IS  - 3
SP  - 150
EP  - 159
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Hunker, Jan L.
A1  - Gossmann, Matthias
A1  - Raman, Aravind Hariharan
A1  - Linder, Peter
T1  - Artificial neural networks in cardiac safety assessment: Classification of chemotherapeutic compound effects on hiPSC-derived cardiomyocyte contractility
JF  - Journal of Pharmacological and Toxicological Methods
Y1  - 2021
U6  - http://dx.doi.org/10.1016/j.vascn.2021.107044
SN  - 1056-8719
VL  - 111
IS  - Article number 107044
PB  - Elsevier
CY  - New York
ER  -