LEADER 03514nam 22005895 450 001 9910913787103321 005 20250807143632.0 010 $a9789819773442 010 $a981977344X 024 7 $a10.1007/978-981-97-7344-2 035 $a(MiAaPQ)EBC31810921 035 $a(Au-PeEL)EBL31810921 035 $a(CKB)36738699400041 035 $a(DE-He213)978-981-97-7344-2 035 $a(EXLCZ)9936738699400041 100 $a20241201d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSolving with Bees $eTransformative Applications of Artificial Bee Colony Algorithm /$fedited by Khalid Raza 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (212 pages) 225 1 $aSpringer Tracts in Nature-Inspired Computing,$x2524-5538 311 08$a9789819773435 311 08$a9819773431 327 $aFundamentals 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. 330 $aThis book is a comprehensive volume, which delves into the versatile world of Artificial Bee Colony (ABC) algorithms, their variants, and myriad applications in a wide range of fields. This book is designed to be an essential resource for researchers, practitioners, students, and anyone intrigued by the fascinating realm of swarm intelligence and optimization. This book serves as a bridge between the theoretical foundations of ABC algorithms and their practical implementations across diverse domains. The book offers a deep understanding of these algorithms and how they can be harnessed to tackle complex real-world challenges. 410 0$aSpringer Tracts in Nature-Inspired Computing,$x2524-5538 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aImage processing 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aImage Processing 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aImage processing. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aImage Processing. 676 $a006.3 700 $aRaza$b Khalid$01266124 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910913787103321 996 $aSolving with Bees$94298193 997 $aUNINA