03754nam a22005415i 4500 978-981-97-7344-2 DE-He213 20251030114557.0 cr nn 008mamaa 241201s2024 si | s |||| 0|eng d 9789819773442 978-981-97-7344-2 10.1007/978-981-97-7344-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Solving with Bees [electronic resource] : Transformative Applications of Artificial Bee Colony Algorithm / edited by Khalid Raza. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 199 p. 27 illus., 20 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Tracts in Nature-Inspired Computing, 2524-5538 Fundamentals of Artificial Bee Colony Algorithms and Its Variants -- The Rise of Artificial Bee Colony Algorithms in Data Science and Machine Learning is Notable -- Swarm Intelligence for Optimization: A Bee's-Eye View on Multi-objective and Dynamic Challenges -- Artificial Bee Colony Algorithms in Control Systems, Robotics and Automation -- Integrating Artificial Bee Colony Algorithms for Deep Learning Model Optimization: A Comprehensive Review -- An IoMT Enabled Iterative Artificial Bee Colony Approach Using Federated Learning for Detection of Heart Disease -- Optimal Design of a Biomedical Amplifier for Minimum Offset Using a Modified ABC Algorithm -- Using Honeybees for Gene Expression Profiling: The Artificial Bee Colony Algorithm to Identify Robust Gene Biomarkers for Clinical Diagnosis -- Smart Diagnostics for Diabetic Retinopathy: Integrating Artificial Bee Colony Algorithms into Medical Image Analysis -- Artificial Bee Colony Algorithms in Gene Expression Studies: A Case Study -- Artificial Bee Colony Algorithm in Multi-Omics Analysis: A Case Study. This book is a comprehensive volume, which delves into the versatile world of Artificial Bee Colony (ABC) algorithms, their variants, and myriad applications in a wide range of fields. This book is designed to be an essential resource for researchers, practitioners, students, and anyone intrigued by the fascinating realm of swarm intelligence and optimization. This book serves as a bridge between the theoretical foundations of ABC algorithms and their practical implementations across diverse domains. The book offers a deep understanding of these algorithms and how they can be harnessed to tackle complex real-world challenges. Computational intelligence. 64052 Artificial intelligence. 58441 Image processing. Computational Intelligence. 64052 Artificial Intelligence. 58441 Image Processing. Raza, Khalid. editor. edt http://id.loc.gov/vocabulary/relators/edt 70979 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819773435 Printed edition: 9789819773459 Printed edition: 9789819773466 Springer Tracts in Nature-Inspired Computing, 2524-5538 71076 https://doi.org/10.1007/978-981-97-7344-2 ZDB-2-INR ZDB-2-SXIT 65400 65400