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The book is focused on latest developments and findings on engineering applications of AI and swarm intelligence. It provides comprehensive reviews and surveys on implementations and coding aspects of case studies and applications where appropriate. The book is useful for scholars, lecturers, and practitioners from academia and industrial applications. The readership of this book also includes Ph.D. students and researchers with a wide experience in the subject areas.
List of contents
Engineering Applications of Swarm Intelligence.- Swarm Intelligence Algorithms and their Engineering Applications.- Engineering Design Optimization using Flower Pollination Algorithm.- Convergence Catalysts: Exploring Fusion of Embedded Systems, IoT and AI.- Metaheuristic Algorithms an Optimizers: Prospects and Challenges.- Depth Perspective-Aware Multiple Object Tracking.- AI in Production Systems and Integration with Lean Manufacturing.- Flower Algorithm Parameter Tuning and Applications.- Data Imputation and AI in Healthcare.- Swarm Intelligence in 5G Communications.- Optimizing Camera Placement for Maximum Coverage of Simple Polygons with Holes: Deterministic Approaches and Swarm Intelligence Algorithms.- Comparison of the Bat Algorithm with Other Algorithms for Engineering Applications.- Applications and Modifications of Metaheuristics in Engineering Systems.- Electrical Design Problems by Using Swarm-Based Algorithms.- Applications of AI in Civil Engineering: Reviews and Recent Developments.- Enhancing SPECT 2D Reconstruction from 1D Projections Through the Integration of Various Generative Models for Improved Image Quality. Application of Wireless Communications and Drone.
