TY  - JOUR
A1  - Stulpe, Werner
T1  - Aspects of the Quantum-Classical Connection Based on Statistical Maps
JF  - Foundations of Physics
Y1  - 2019
U6  - https://doi.org/10.1007/s10701-019-00269-9
VL  - 49
IS  - 6
SP  - 677
EP  - 692
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Selmer, Thorsten
A1  - Miech, Claudia
A1  - Dierks, Thomas
A1  - Figura, Kurt von
T1  - Arylsulfatase from Klebsiella pneumoniae Carries a Formylglycine Generated from a Serine / Miech, Claudia ; Dierks, Thomas ; Selmer, Thorsten ; Figura, Kurt von ; Schmidt, Bernd
JF  - Journal of Biological Chemistry. 273 (1998), H. 9
Y1  - 1998
SN  - 1083-351X
SP  - 4835
EP  - 4837
ER  - 
TY  - JOUR
A1  - Paulßen, Elisabeth
A1  - Kong, Shushu
A1  - Arciszewski, Pawel
A1  - Wielbalck, Swantje
A1  - Abram, Ulrich
T1  - Aryl and NHC Compounds of Technetium and Rhenium
JF  - Journal of the American Chemical Society
N2  - 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.
Y1  - 2012
U6  - https://doi.org/10.1021/ja3033718
SN  - 1520-5126
VL  - 134
IS  - 22
SP  - 9118
EP  - 9121
PB  - ACS Publications
CY  - Washington, DC
ER  - 
TY  - JOUR
A1  - Fabo, Sabine
T1  - Arts and media : towards an universal understanding
JF  - Leonardo
Y1  - 1993
SN  - 0024-094X
VL  - 26(1993)
IS  - 4
SP  - 316
EP  - 319
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  - https://doi.org/10.1016/j.vascn.2021.107044
SN  - 1056-8719
VL  - 111
IS  - Article number 107044
PB  - Elsevier
CY  - New York
ER  - 
TY  - JOUR
A1  - Valero, Daniel
A1  - Bung, Daniel Bernhard
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  - https://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  - 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  - https://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  - 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  - 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  - JOUR
A1  - Laack, Walter van
A1  - Casser, H.-R.
T1  - Arthroskopische Behandlung der Osteochondrosis dissecans an der medialen Femurrolle
JF  - Arthroskopie. 2 (1989), H. 1
Y1  - 1989
SN  - 0933-7946
SP  - 16
EP  - 18
ER  -