01021nam0 22002651i 450 UON0003038920231205102058.67120020107d1937 |0itac50 baturTR|||| 1||||Nazmi ZiyaBedri RahmiIstanbulGuzel Sanatlar Akademisi Nesr.1937 35 p.32 ill. ; 21 cmGià inv. Arc. 380IT-UONSI TURIXB/001PITTURA TURCASec. 20.UONC009881FITRIstanbulUONL000077TUR IX BTURCHIA - ARTE - PITTURAARAHMIBedriUONV020317644883Guzel Sanatlar AkademisiUONV251049650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00030389SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI TUR IX B 001 SI SA 47265 7 001 Già inv. Arc. 380Nazmi Ziya1190998UNIOR04317nam 22006015 450 991029995370332120250609110109.03-319-75617-610.1007/978-3-319-75617-2(CKB)4100000002892417(MiAaPQ)EBC5441118(DE-He213)978-3-319-75617-2(PPN)225553775(MiAaPQ)EBC5588895(EXLCZ)99410000000289241720180317d2018 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInitial airworthiness determining the acceptability of new airborne systems /Guy Gratton2nd edition 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (xxi, 425 pages) illustrationsIncludes index.3-319-75616-8 What is Airworthiness?.-The Atmosphere.-The Pitot-Static System -- The Flight Envelope First Principles of Structural Approval -- Approving an Aircraft’s Main Flight Structure -- Undercarriage Structural Approvals -- Control Surfaces and Circuits -- Powerplant Airworthiness -- An Introduction to Crashworthiness -- An Introduction to Flying Qualities Evaluation -- Longitudinal Stability and Control -- Lateral and Directional Stability and Control -- Aeroplane Asymmetry -- Departures from Controlled Flight -- Aeroplane Performance Evaluation -- The Conduct of Assessment Programmes -- Systems Assessment -- Environmental Impact -- Facilitating Continued Airworthiness.Designed as an introduction for both advanced students in aerospace engineering and existing aerospace engineers, this book covers both engineering theory and professional practice in establishing the airworthiness of new and modified aircraft. Initial Airworthiness includes information on: · how structural, handling, and systems evaluations are carried out; · the processes by which safety and fitness for purpose are determined; and · the use of both US and European unit systems Covering both civil and military practice and the current regulations and standards across Europe and North America, Initial Airworthiness will give the reader an understanding of how all the major aspects of an aircraft are certified, as well as providing a valuable source of reference for existing practitioners. This second edition has been updated for changes in regulation worldwide, including UK "E-conditions" and Single Seat De-Regulation, the new part 23 regulations in the USA and Europe, and developments to Extended Range Twin-Engine Operations worldwide. Entirely new sections have been added to explain the management of certification programmes, professional ethics within airworthiness practice, environmental impact of aircraft, and aeroplane departures from controlled flight. This edition also includes many new figures, case studies and references to sources of further information.Aerospace engineeringFluid mechanicsReliability (Engineering)Commercial lawAirplanesAirworthinessAerospace Technology and Astronauticshttps://scigraph.springernature.com/ontologies/product-market-codes/T17050Fluid- and Aerodynamicshttps://scigraph.springernature.com/ontologies/product-market-codes/P21026Quality Control, Reliability, Safety and Riskhttps://scigraph.springernature.com/ontologies/product-market-codes/T22032Commercial Lawhttps://scigraph.springernature.com/ontologies/product-market-codes/R12026Aerospace engineering.Fluid mechanics.Reliability (Engineering)Commercial law.AirplanesAirworthiness.Aerospace Technology and Astronautics.Fluid- and Aerodynamics.Quality Control, Reliability, Safety and Risk.Commercial Law.363.12462Gratton Guyauthttp://id.loc.gov/vocabulary/relators/aut739828BOOK9910299953703321Initial airworthiness1465926UNINA03950nam 22006015 450 991101568490332120250712072154.03-031-91859-210.1007/978-3-031-91859-9(MiAaPQ)EBC32202187(Au-PeEL)EBL32202187(CKB)39620867300041(OCoLC)1527722694(DE-He213)978-3-031-91859-9(EXLCZ)993962086730004120250709d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMean Field Guided Machine Learning /by Yuhan Kang, Hao Gao, Zhu Han1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (248 pages)Wireless Networks,2366-14453-031-91858-4 Preface -- Chapter 1 Overview of Mean Field Theory and Machine Learning -- Chapter 2 Mean Field Game and Machine Learning Basis -- Chapter 3 Opinion Evolution in Social Networks: Use Generative Adversarial Networks to Solve Mean Field Game -- Chapter 4 Data Augmentation using Mean Field Games -- Chapter 5 Mean Field Game Guided Deep Reinforcement Learning -- Chapter 6 Incentive Mechanism Design in Satellite-Based Federated Learning using Mean Field Evolutionary Approach -- Chapter 7 Client Selection in Hierarchical Federated Learning with Mean Field Game -- Chapter 8 Evolutionary Neural Architecture Search with Mean Field Game Selection Mechanism -- References -- Index.This book explores the integration of Mean Field Game (MFG) theory with machine learning (ML), presenting both theoretical foundations and practical applications. Drawing from extensive research, it provides insights into how MFG can improve various ML techniques, including supervised learning, reinforcement learning, and federated learning. MFG theory and ML are converging to address critical challenges in high-dimensional spaces and multi-agent systems. While ML has transformed industries by leveraging vast data and computational power, scalability and robustness remain key concerns. MFG theory, which models large populations of interacting agents, offers a mathematical framework to simplify and optimize complex systems, enhancing ML’s efficiency and applicability. By bridging these two fields, this book aims to drive innovation in scalable and robust machine learning. The integration of MFG with ML not only expands research possibilities but also paves the way for more adaptive and intelligent systems. Through this work, the authors hope to inspire further exploration and development in this promising interdisciplinary domain. With case studies and real-world examples, this book serves as a guide for researchers and students in communications and networks seeking to harness MFG’s potential in advancing ML. Industry managers, practitioners and government research workers in the fields of communications and networks will find this book a valuable resource as well.Wireless Networks,2366-1445Machine learningTelecommunicationArtificial intelligenceMachine LearningCommunications Engineering, NetworksArtificial IntelligenceMachine learning.Telecommunication.Artificial intelligence.Machine Learning.Communications Engineering, Networks.Artificial Intelligence.006.31Kang Yuhan1833765Gao Hao1064416Han Zhu732360MiAaPQMiAaPQMiAaPQBOOK9911015684903321Mean Field Guided Machine Learning4408719UNINA