LEADER 01241nam--2200385---450- 001 990000420820203316 010 $a1-900222-22-9 035 $a0042082 035 $aUSA010042082 035 $a(ALEPH)000042082USA01 035 $a0042082 100 $a20010502d2000----km-y0itay0103----ba 101 $aeng 102 $aGB 105 $a||||||||001yy 200 1 $aProcess control of activated sludge plants by microscopic investigation$fby Dick H.Eikelboom 210 $aLondon$cIWA Publishing$d2000 215 $a156 p.$cill.$d30 cm$eCD-ROM 300 $aIn custodia 606 $aAcque di rifiuto$xImpianti di trattamento 606 $aFango da acque di rifiuto 676 $a628.354 700 1$aEIKELBOOM,$bDick H.$0544736 801 0$aIT$bsalbc$gISBD 912 $a990000420820203316 951 $a628.354 EIK$b16065 TEC$c658.354 EIK$d00071722 959 $aBK 969 $aTEC 979 $aANGELA$b90$c20010502$lUSA01$h1028 979 $aANGELA$b90$c20010502$lUSA01$h1038 979 $aJOHNNY$b90$c20010924$lUSA01$h1607 979 $c20020403$lUSA01$h1650 979 $aPATRY$b90$c20040406$lUSA01$h1629 996 $aProcess control of activated sludge plants by microscopic investigation$9873304 997 $aUNISA LEADER 05180nam 22007335 450 001 9911018644803321 005 20250726130243.0 010 $a9783031827334$b(electronic bk.) 010 $z9783031827327 024 7 $a10.1007/978-3-031-82733-4 035 $a(MiAaPQ)EBC32246650 035 $a(Au-PeEL)EBL32246650 035 $a(CKB)39719119800041 035 $a(DE-He213)978-3-031-82733-4 035 $a(OCoLC)1544987978 035 $a(EXLCZ)9939719119800041 100 $a20250726d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence Techniques for 5G Enabled IoT Networks /$fedited by Mohit Kumar, Sukhpal Singh Gill, Vijay Kumar, Prabal Verma 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (515 pages) 225 1 $aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,$x2522-8722 311 08$aPrint version: Kumar, Mohit Computational Intelligence Techniques for 5G Enabled IoT Networks Cham : Springer,c2025 9783031827327 327 $aPart I. Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks -- Chapter 1. Computational Intelligence based Carbon Neutral Wireless Networks for Edge Cloud Continuum -- Chapter 2. AI/ML: Developing Algorithms for Handling Imbalanced Datasets in Classification Tasks -- Chapter 3. A Novel Algorithm for Digital Twin Accuracy -- Chapter 4. Google Cloud Spanner based Data Management Application for Smart Gaming Industry -- Part II. Optimization and Resilience Strategies for 5G-Enabled IoT Networks -- Chapter 5. Next Generation Cloud Security Paradigm: Orchestrating Cutting-Edge Machine Learning for DDoS Attack Detection Through Robust Optimization Algorithm -- Chapter 6. Role of Cognitive Radio in 5G Enabled IoT Networks -- Chapter 7. Influence of Soft Computing Techniques in Autonomous Vehicles -- Chapter 8. Disaster Resilience Communication through Optimized-UAV Enabled 5G Networks with D2D Communication -- Part III. Intelligent Resource Allocation and Service Optimization in 5G IoT Networks -- Chapter 9. Computational Intelligence based Optimal Service Placement in Fog-enabled IoT Networks -- Chapter 10. A study on Microservice Placement in the IoT-Fog Networks -- Chapter 11. Realtime IoT Offloading decision Strategy -- Chapter 12. IoT-Enabled 5G Smart Healthcare: Changing Patient Care and Connectivity -- Part IV. Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0 -- Chapter 13. Revolutionizing Agriculture: 5G-Enabled IoT Networks for Smart Farming -- Chapter 14. Real-Time Monitoring and Disease Detection in Greenhouses Using IoT and Deep Learning -- Chapter 15. Deep Learning-Driven IoT Framework for Detecting Pancreatic Neuroendocrine Tumors -- Chapter 16. Amalgamation of Computational Intelligence and 6G-enabled AIoT networks for Industry 4.0. 330 $aThis book explores emerging interdisciplinary themes and applications reflecting advancements in Computational Intelligence (CI) for IoT and 5G networks. It is divided into four sections: Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0. This comprehensive work is essential for researchers and professionals interested in leveraging CI, IoT, and 5G technologies across diverse applications. 410 0$aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,$x2522-8722 606 $aComputational intelligence 606 $aInternet of things 606 $aCloud computing 606 $aComputer science 606 $aComputer engineering 606 $aComputer networks 606 $aComputational Intelligence 606 $aInternet of Things 606 $aCloud Computing 606 $aComputer Science 606 $aComputer Engineering and Networks 615 0$aComputational intelligence. 615 0$aInternet of things. 615 0$aCloud computing. 615 0$aComputer science. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aComputational Intelligence. 615 24$aInternet of Things. 615 24$aCloud Computing. 615 24$aComputer Science. 615 24$aComputer Engineering and Networks. 676 $a006.3 700 $aMohit$b Kumar$01886969 701 $aGill$b Sukhpal Singh$01836468 701 $aKumar$b Vijay$0640466 701 $aVerma$b Prabal$01836469 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911018644803321 996 $aComputational Intelligence Techniques for 5G Enabled IoT Networks$94528650 997 $aUNINA