01642nam 2200433 450 991070742530332120160831135112.0(CKB)5470000002465278(OCoLC)957558471(EXLCZ)99547000000246527820160831d1997 ua 0engurbn|||||||||rdacontentrdamediardacarrierArcheology in Herbert Hoover's neighborhood 1989 excavations at the L. Miles and E.S. Hayhurst houses, West Branch, Iowa /by Jeffrey J. RichnerLincoln, Nebraska :United States Department of Interior, National Park Service,1997.1 online resource (viii, 160 pages) illustrations, maps, plansTechnical report / Midwest Archeological Center ;no. 51Title from title screen (viewed Aug. 31, 2016).Includes bibliographical references (pages 77-82).Archeology in Herbert Hoover's neighborhood DwellingsIowaWest BranchBuildingsIowaWest BranchExcavations (Archaeology)IowaWest BranchHerbert Hoover National Historic Site (West Branch, Iowa)West Branch (Iowa)AntiquitiesDwellingsBuildingsExcavations (Archaeology)Richner Jeffrey1417345Midwest Archeological Center (U.S.),GPOGPOBOOK9910707425303321Archeology in Herbert Hoover's neighborhood3533930UNINA03514nam 22005895 450 991091378710332120250807143632.09789819773442981977344X10.1007/978-981-97-7344-2(MiAaPQ)EBC31810921(Au-PeEL)EBL31810921(CKB)36738699400041(DE-He213)978-981-97-7344-2(EXLCZ)993673869940004120241201d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSolving with Bees Transformative Applications of Artificial Bee Colony Algorithm /edited by Khalid Raza1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (212 pages)Springer Tracts in Nature-Inspired Computing,2524-55389789819773435 9819773431 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.Springer Tracts in Nature-Inspired Computing,2524-5538Computational intelligenceArtificial intelligenceImage processingComputational IntelligenceArtificial IntelligenceImage ProcessingComputational intelligence.Artificial intelligence.Image processing.Computational Intelligence.Artificial Intelligence.Image Processing.006.3Raza Khalid1266124MiAaPQMiAaPQMiAaPQBOOK9910913787103321Solving with Bees4298193UNINA