Masoomeh Mirrashid – författare

This book demonstrates innovative approaches in the application of computational intelligence. The initial chapters discuss the application of AI to analyze physical systems, in particular contemporary neural networks for rapid and accurate seismic analysis of critical infrastructure. It also discusses advanced metaheuristic and hybrid AI approaches that afford robust, non-invasive evaluations of geological and rock-mass properties, replacing the expensive and time-consuming traditional methods. The subsequent chapters expand the scope to include strategic and operational intelligence dimensions, where the use of generative AI aims at enhancing the security and functionality of IoT ecosystems, and where the seamless interplay of Natural Language Processing and IoT technology enables more human-centred control of systems. It also describes Edge AI, elaborating the on-device processing capabilities that enable fast, secure, real-time decision-making.

The introduction of AI and ML technologies has brought new changes to the engineering profession. This book presents the theory and practical solutions backed with real results. It also explains in detail the uses of Machine Learning methods, Gene Expression Programming, Extreme Gradient Boosting, and Deep Neural Networks in predicting parameters that are critical in understanding soil behavior, foundation settlements, material behavior, resource consumption, and beyond. One focal point is the shift from opaque models to transparent, accountable AI. The integration of AI methods is elucidated to clarify decisions made by predictive models and instill trust in the predictive systems. Additionally, the book addresses the issue of sustainability by demonstrating how AI can refine the utilization of industrial by-products such as fly ash and marble slurry in the construction sector and improve the efficiency of public transportation systems.