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16171 - 16180 von 16996
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Artikel 16171 Simulated Annealing (SA) and Optimization: Modern Algorithms with VLSI, Optimal Design, and Missile Defense Applications
Enthalten in Operational Research Society: Journal of the Operational Research Society Bd. 42, 1.1.1991, Nr. 1, date:1.1991: 97-98
Online Ressource
Artikel 16172 Simulated case management of home telemonitoring to assess the impact of different alert algorithms on work-load and clinical decisions
Enthalten in BMC medical informatics and decision making Bd. 17, 17.1.2017, Nr. 1, date:12.2017: 1-11
Online Ressource
Artikel 16173 Simulating the Mechanics of Myocardial Tissue Using Strongly Scalable Parallel Algorithms
Enthalten in Biomedical engineering Bd. 58, 2013, Nr. SI-1-Track-N
Online Ressource
Artikel 16174 Simulation algorithms for the second-order parabolic Cauchy problem
Enthalten in Sankt-Peterburgskij gosudarstvennyj universitet: Vestnik / Mathematics Bd. 44, 24.8.2011, Nr. 3, date:9.2011: 223-232
Online Ressource
Artikel 16175 Simulation and comparison of perturb and observe and incremental conductance MPPT algorithms for solar energy system connected to grid
Enthalten in Sādhāna Bd. 40, 31.1.2015, Nr. 1, date:2.2015: 139-153
Online Ressource
Artikel 16176 Simulation and Evaluation of Platooning Algorithms
Enthalten in ATZ heavyduty worldwide Bd. 17, 30.8.2024, Nr. 2, date:8.2024: 20-25
Online Ressource
Artikel 16177 Simulation and Validation of Satellite Attitude Control Algorithms in a Spherical Air Bearing
Enthalten in Journal of control, automation and electrical systems Bd. 30, 23.7.2019, Nr. 5, date:10.2019: 716-727
Online Ressource
Artikel 16178 Simulation-based genetic algorithms for construction supply chain management: Off-site precast concrete production as a case study
Enthalten in OR insight Bd. 25, 8.8.2012, Nr. 3, date:9.2012: 165-184
Online Ressource
Artikel 16179 Simulation-based review of classical, heuristic, and metaheuristic path planning algorithms
Enthalten in Scientific reports Bd. 15, 12.4.2025, Nr. 1, date:12.2025: 1-36
Online Ressource
Artikel 16180 Simulation-based selection of optimum pressure die-casting process parameters using neural nets and genetic algorithms
Enthalten in The international journal of advanced manufacturing technology Bd. 27, 9.2.2005, Nr. 5-6, date:1.2006: 509-517
Online Ressource


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