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Applied Mechanics through Artificial Intelligence Applications

Editat de Natasa Trisovic, Tamas Mankovits, Petar Dimitrov, Zoltan Major, Ana Petrovic
en Limba Engleză Hardback – feb 2027
This book showcases the results of the Euromech Colloquium 650, which aimed at fostering a deeper understanding of how artificial intelligence enhances applied mechanics. The selected papers highlight novel methodologies, innovative applications, and interdisciplinary approaches that address current challenges in mechanical system optimization, energy harvesting, material characterization, structural health monitoring, and vibration analysis. By bridging AI techniques with traditional mechanical engineering, this book offers valuable insights for researchers, industry professionals, and academic scholars working in applied mechanics, computational modelling, and intelligent system design.
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Specificații

ISBN-13: 9783032326959
ISBN-10: 3032326958
Pagini: 382
Dimensiuni: 155 x 235 mm
Editura: Springer Nature Switzerland AG

Cuprins

Neuro-Fuzzy Clustering of Lateral and Vertical Acceleration of Railway Track: An AI-Enhanced Approach.- Hip implant stem design optimization via lattice struc-tures and mechanical behavior prediction using arti-ficial intelligence.- Periodic and Stochastic Excitation of Coupled Nano-Plate and Nano-Shell: Analytical, Numerical, and Random Forest Models.- Intelligent machines in predictive maintenance processes.- Analysis of the Effect of Geometric Constraints on the Optimal Synthesis of Planar Mechanisms Conducted by Using Metaheuristic Algorithm.- Fuzzy Lyapunov Approach for Adaptive System Control.- AI-Driven Optimization of Biomechanical Models for Personalized Prosthetic Design and Performance Enhancement.- Real-Time Simulation of Combustion Processes Using Artificial Neural Networks.- AI-Driven Experimentation: Designing Experiments and Extracting Insight from Complex Engineering Data.- Taguchi – AI Approach for Process Optimization in Composite Manufacturing.