LEADER 06066nam 22005655 450 001 996558571003316 005 20231001183312.0 010 $a3-031-30101-3 024 7 $a10.1007/978-3-031-30101-8 035 $a(MiAaPQ)EBC30766346 035 $a(Au-PeEL)EBL30766346 035 $a(DE-He213)978-3-031-30101-8 035 $a(PPN)272918563 035 $a(EXLCZ)9928446169400041 100 $a20231001d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a6G Enabled Fog Computing in IoT$b[electronic resource] $eApplications and Opportunities /$fedited by Mohit Kumar, Sukhpal Singh Gill, Jitendra Kumar Samriya, Steve Uhlig 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (416 pages) 311 08$aPrint version: Kumar, Mohit 6G Enabled Fog Computing in IoT Cham : Springer,c2023 9783031301001 327 $aSection 1: Applications -- Chapter 1: AI Enabled resources scheduling in Cloud Paradigm -- Chapter 2: Role of AI for Data Security and Privacy in 5G Healthcare Informatics -- Chapter 3: GPU based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions -- Chapter 4: Air Quality Index Prediction Using Various Machine Learning Algorithms -- Chapter 5: Leveraging Cloud Native Microservices Architecture for High Performance Real-Time Intra-day Trading: A Tutorial -- Chapter 6: HypEdge: Intelligent Sensing of Diabetes Mellitus in Healthcare 4.0 on the Cloud -- Section 2: Architecture, Systems and Services -- Chapter 7: Efficient Resource Allocation in Virtualized Cloud Platforms using Encapsulated Virtualization based Ant Colony Optimization (EVACO) -- Chapter 8: Authenticated, Secured, Intelligent and Assisted Medicine Dispensing Machine for Elderly Visual Impaired People -- Chapter 9: Prediction of Liver Disease Using Soft Computing and Data Science Approaches -- Chapter 10: Artificial Intelligence based Transfer Learning approach in Identifying and Detecting Covid-19 Virus from CT-Scan Images -- Chapter 11: Blockchain-based Medical Report Management and Distribution System -- Chapter 12: Design of 3-D Pipe Routing for Internet of Things Networks Using Genetic Algorithm -- Section 3: Further Reading -- Chapter 13: Intelligent Fog-IoT Networks with 6G Endorsement: Foundations, Applications, Trends and Challenges -- Chapter 14: The role of machine learning in the advancement of 6G technology: opportunities and challenges -- Chapter 15: A Comprehensive Survey on Network Resource management in SDN Enabled Data Center Network -- Chapter 16: Artificial Intelligence Advancement For 6G Communication: A Visionary Approach -- Chapter 17: AI meets SDN: A survey of Artificial Intelligent techniques applied to Software-Defined Networks. 330 $aOver the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow?s communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network. This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks. 606 $aComputer networks 606 $aApplication software 606 $aWireless communication systems 606 $aMobile communication systems 606 $aComputer Communication Networks 606 $aComputer and Information Systems Applications 606 $aWireless and Mobile Communication 615 0$aComputer networks. 615 0$aApplication software. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 14$aComputer Communication Networks. 615 24$aComputer and Information Systems Applications. 615 24$aWireless and Mobile Communication. 676 $a004.678 702 $aKumar$b Mohit 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996558571003316 996 $a6G Enabled Fog Computing in IoT$93574805 997 $aUNISA LEADER 03337oam 2200781 c 450 001 9910875592603321 005 20260302090207.0 010 $a3-8309-9791-4 024 3 $a9783830997917 035 $a(CKB)5580000000699959 035 $a(NjHacI)995580000000699959 035 $a(Waxmann)9783830997917 035 $a(EXLCZ)995580000000699959 100 $a20260302d2023 uy 0 101 0 $ager 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aLehramt mit Perspektive $eAnsätze, Methoden und Forschungsergebnisse einer zukunftsorientierten Lehrkräftebildung /$fMelanie Greinert, Ilka Parchmann, Thilo Kleickmann 205 $a1st ed. 210 $aMünster$cWaxmann$d2023 215 $a1 online resource (296 pages) 311 08$a3-8309-4791-7 320 $aIncludes bibliographical references. 330 $aIn diesem Sammelband werden die Fortschritte und Erkenntnisse aus dem Projekt ?LeaP@CAU ? Lehramt mit Perspektive? an der Christian-Albrechts-Universität zu Kiel (CAU) vorgestellt. Im Rahmen der gemeinsamen ?Qualitätsoffensive Lehrerbildung? (QLB) von Bund und Ländern wurde LeaP@CAU zwischen 2016 und 2023 aus Mitteln des Bundesministeriums für Bildung und Forschung gefördert, um die Lehrkräftebildung an der CAU nachhaltig zu optimieren. Die Autor*innen bieten einen umfassenden Einblick in die Ausgangslage, Ziele, Herausforderungen und Ergebnisse von LeaP@CAU. In den einzelnen Teilprojekten wurden innovative Ansätze entwickelt, die die Lehrkräftebildung an der CAU geprägt haben. Dabei standen Themen wie die Stärkung von fachübergreifenden Professionswissen, Theorie-Praxis-Verknüpfungen und Querschnittsthemen wie Inklusion und Heterogenität, Digitalisierung sowie Deutsch als Zweisprache und fachintegrierte Sprachbildung im Fokus. Das Buch richtet sich an Wissenschaftler*innen, Lehrende, Studierende und alle, die an der Weiterentwicklung der Lehrkräftebildung interessiert sind. 606 $aLeaP@CAU 606 $aLehramtsstudierende 606 $aLehrkräfteprofessionalisierung 606 $aLehramtsstudium 606 $aLehrkräftebildung 606 $aVR-Klassenraum 606 $aFeedback 606 $aSchülertext 606 $aLehr-Lern-Labor 606 $aMicroteaching 606 $aExtracurriculares Studienangebot 606 $aInklusion 606 $aLehrkooperation 606 $aDaZ 606 $aSTePS 606 $aErwachsenenbildung 615 4$aLeaP@CAU 615 4$aLehramtsstudierende 615 4$aLehrkräfteprofessionalisierung 615 4$aLehramtsstudium 615 4$aLehrkräftebildung 615 4$aVR-Klassenraum 615 4$aFeedback 615 4$aSchülertext 615 4$aLehr-Lern-Labor 615 4$aMicroteaching 615 4$aExtracurriculares Studienangebot 615 4$aInklusion 615 4$aLehrkooperation 615 4$aDaZ 615 4$aSTePS 615 4$aErwachsenenbildung 676 $a370.733 702 $aGreinert$b Melanie$4edt 702 $aParchmann$b Ilka$4edt 702 $aKleickmann$b Thilo$4edt 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910875592603321 996 $aLehramt mit Perspektive$94415373 997 $aUNINA