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  • 1
    Book
    Book
    Reasons and recognition : essays on the philosophy of T. M. Scanlon (2011)
    New York : Oxford University Press
    Details
    ISBN: 9780199753673 , 0199753679
    Language: English
    Pages: xi, 379 p , 24 cm
    DDC: 191
    RVK:
    CC 7200
    RVK:
    CI 6350
    RVK:
    CK 3600
    Keywords: Scanlon, Thomas ; Philosophy, American 20th century
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
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    MPI-MMG
  • 2
    Book
    Book
    Reparations : interdisciplinary inquiries (2007)
    Oxford : Oxford University Press
    Details
    ISBN: 9780199299911 , 0199299919
    Language: English
    Pages: x, 342 Seiten
    RVK:
    LB 50000
    RVK:
    LB 53000
    RVK:
    MK 2600
    RVK:
    MK 2700
    RVK:
    PR 2558
    Keywords: Wiedergutmachung ; Indigenes Volk ; Sklaverei ; Kolonialismus ; Reparationen ; Reparationsschaden ; Entschädigung ; Gerechtigkeit ; Konferenzschrift ; Aufsatzsammlung
    Note: Literaturangaben , Hier auch später erschienene, identische Nachdrucke , "Most of the chapters in this volume were originally presented at the conference 'Reparations: An Interdisciplinary Examination of Some Philosophical Issues', held at Queen's University in February 2004"--Pref. - Includes bibliographical references. - Enthält 12 Beiträge
    URL: Inhaltsverzeichnis
    URL: Inhaltsverzeichnis
    URL: http://www.loc.gov/catdir/enhancements/fy0723/2006030175-b.html
    URL: http://www.loc.gov/catdir/enhancements/fy0723/2006030175-d.html
    URL: http://www.loc.gov/catdir/toc/ecip0620/2006030175.html
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    HeBIS
  • 3
    Online Resource
    Online Resource
    Proceedings of the International Conference on Information Control, Electrical Engineering and Rail Transit : ICEERT 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819964314
    Language: English
    Pages: 1 Online-Ressource(XVI, 379 p. 193 illus., 142 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1084
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Image processing. ; Electric power production. ; Telecommunication.
    Abstract: Experimental Assessment of a Current Controller Based on Non-Linear Auto Disturbance Rejection Control For DFIG-Based Wind Turbines During Grid Voltage Imbalance -- Photovoltaic Generation Scenario Reduction Method Based on Improved K-means Clustering -- Current Sharing Control of Disturbance Compensation for Parallel H-Bridge Converters Based on Finite-Time Control Technology -- Voltage-Frequency Control Strategy Based on Modular Multilevel Matrix Converter -- Research on voltage and frequency control method of wind turbine high proportion system -- Modeling and multi-objective control strategy of two-stage energy storage system for peak shaving and valley filling -- Destination-demand-oriented EV Charging Scheduling Strategy Based On User Behavior Analysis -- Research on power load characteristics and cluster analysis of 5G communication base stations -- Experimental study on a new type of water storage tank for geothermal heating -- Research and application of automatic testing technology of relay protection device based on substation monitoring information interaction -- Research on Power Sharing Method of Multi Terminal HVDC Transmission System Based on Voltage Droop Control -- Optimal siting and capacity allocation of BESS based on improved multi-objective particle swarm algorithm -- Research on Coordinated Control Technology of Distribution Network with Soft Open Point based on RTDS -- Research on the Optimization of Fixed Value Boundary of Line Distance Protection Load Impedance -- Analysis and Design of EAST New Generation Fast Control Power Integrated Protection System -- An Analysis Method for Residential Electricity Consumption Behavior Based on UMAP-CRITIC Feature Optimization and SSA-Assisted Clustering -- Simulation and FPGA implementation of transient power quality disturbance detection -- Performance of Dynamic Seal Torque Transfer System of Power Turbine Based on Magnetic Coupling -- Research on dense tiny object detection method of transmission line based on dynamic NMS -- Electrical insulator defect detection from incomplete annotations by positive-unlabeled learning -- Wide frequency band oscillation mechanism and suppression measures for grid interfaced PV inverters based on impedance analysis -- DG Hosting Capacity Assessment for Flexible Distribution Networks: A Moment-based Distributionally Robust Approach -- Research on the Establishment of Recognition System for Harmonic Amplification Phenomenon in Electric Transmission Lines Caused by Centralized Connection of Multiple Wind Power Plants -- Application of Hankel Dynamic Mode Decomposition for Wide Area Monitoring of Subsynchronous Resonance -- Research on abnormity detection based on smart meter big data analysis -- Dual Side Protection Control Strategy for UPQC based on ECVS-SMES HESS During Voltage Unbalance -- Optimization Planning Method for New Energy Grid Electricity-Hydrogen Conversion and Energy Storage Facilities Considering Source-Load Uncertainty -- Insulator Defect Detection Based on Improved YOLOX -- Multi Source Coordinated Opportunity Optimal Scheduling with Multiple Uncertainties -- Bypassed On-Chaining: A Highly Secure and Loosely Coupled Data On-Chaining Solution for Electricity Demand Response Systems -- Operation Characteristics of LCC-HVDC Split-Pole Connected to Power Grids and Its Influence on Control and Protection System -- ABFT: High-Performance Asynchronous Byzantine Fault-Tolerant Consensus Algorithm for Electricity Data Metrology -- Semi-hot Redundant Control for MMC with Different Modulation Strategies -- An Ultra-Low Input Voltage Power Management System (Pms) for Thermoelectric Energy Harvesting -- Intelligent Recognition of Transformer and Converter Components Based on Deep Learning -- Research on Dual-channel Wide-Dynamic Microwave Rectifier Based on Automatic Input Power Distribution Technology -- Robustness Evaluation of Electric-Gas Coupling Integrated Energy System Based on Cascading Failure Theory -- A Novel Combined Model Based on Hybrid Data Decomposition, WOA And ENN for Short-Term Wind Speed Forecasting -- Customer Directrix Load Profiles under High Penetration of Winds Considering Contribution Factors of Generators to Load Bus -- Fuzzy Adaptive Tuning PI Control based MPPT Method for Variable Speed Wind Turbine System -- Research on distribution of grounding current based on different earth models -- Key Factors Identification for the Energy Efficiency of Metro system based on DEMATEL-ISM -- A Design of Embedded Servo Measurement and Control System in High Performance -- Calculation and simulation model of three-dimensional electric field distribution of porcelain insulator string deterioration based on passive electro-optic field strength sensing technology -- Numerical Simulation of Resistive Current Extraction of 10kV MOA -- Intelligent Scheduling of AGV Based on Adaptive Traffic Control System Theory in Automated Terminal -- Research on automatic generation and verification of test sequence for new train control system -- Occluded vehicle detection with fusing motion information -- Study of An Acitve/Reactive Power Coordinative Control Method in Capacitor Series Inverter-based Microgrid -- Multi-agv cooperative scheduling model based on improved time window -- Train collision protection method based on virtual coupling technology -- Research on CTCS-N onboard equipment testing method based on timed automata mutation model -- Research on Connection Mode Recognition Method for Medium Voltage Distribution Network Based on CIM File Resolution and Theory -- A Robust Control Approach for Virtually Coupled Train Set with Parameter Uncertainty under External Perturbations -- Code-based PSO-SVM Algorithm for Network Security Posture Warning of Power System -- Connectivity Reliability of Compound Rail Transit Network: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration in China -- Performance analysis of empirical weighting method and Helmet variance component estimation method in CPIII data processing of long line -- Fault self-healing scheme of MMC DC distribution line -- Highly Reliable Warning Method for Tanker Rollover Based on Fuzzy Logic -- Real-time Train Rescheduling with Passenger Demand for Rolling Stock Rescue -- A based DSC Approach to Robust Adaptive Tracking Control for Strict-feedback Nonlinear Systems with Dead-zone Input -- Passenger Flow Estimation in Urban Rail Transit Transfer Station Based on Multi-source Detection Data -- Research on Maglev Track Irregularity Based on Power Spectral Density -- Research on Collection and Distribution Scheme of Railway Container Hub Based on Time Value-Space-Time Network -- Thermal simulation of I/O subsystem of an all-electronic computer interlocking based on finite element analysis -- Research and optimization of the coupling performance of pantograph-catenary system based on numerical simulation and experimental tests -- A Metro Traffic Flow Forecasting System Coupling Singular Spectrum Analysis, Deep Bidirectional LSTM Networks, and Ensemble Strategy -- Finite element analysis of near-field geomagnetic magnetic anomalies of underwater ferromagnets -- Research and application of key technologies for intelligent interpretation of natural resource satellite remote sensing images -- Optimal Dispatch of Active Distribution Network with Electric Vehicles Based on Improved CROA -- Single track railway segment passing capability calculation study based on Moving Block System -- Vibration Mitigation Design and Effect Prediction of Ballast Turnout in Metro Depot.
    Abstract: This book includes the peer-reviewed proceedings of the 2nd International Conference on Information Control, Electrical Engineering, and Rail Transit (ICEERT 2022). This book provides the advanced research results of transportation and covers the main research fields of information control, traffic information engineering, and control, intelligent transit, logistics, etc. This book aims to promote a new green and intelligent mode of rail transit between scholars from the top universities, research centers, and high-tech enterprises around the world, which is beneficial to researchers and practitioners in mechanical engineering. .
    DOI: 10.1007/978-981-99-6431-4
    URL: lizenzpflichtig
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    BSZ
    MPI Ethno. Forsch.
  • 4
    Article
    Article
    Future generations (2018)
    Associated volumes
    In:  The Oxford handbook of distributive justice (2018), Seite 689-710 | year:2018 | pages:689-710
    Details
    ISBN: 9780199645121
    Language: Undetermined
    Titel der Quelle: The Oxford handbook of distributive justice
    Publ. der Quelle: Oxford, United Kingdom : Oxford University Press, 2018
    Angaben zur Quelle: (2018), Seite 689-710
    Angaben zur Quelle: year:2018
    Angaben zur Quelle: pages:689-710
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    Article
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Machine learning quick reference : quick and essential machine learning hacks for training smart data models (2019)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788831611 , 1788831616
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features Your guide to learning efficient machine learning processes from scratch Explore expert techniques and hacks for a variety of machine learning concepts Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn Get a quick rundown of model selection, statistical modeling, and cross-validation Choose the best machine learning algorithm to solve your problem Explore kernel learning, neural networks, and time-series analysis Train deep learning models and optimize them for maximum performance Briefly cover Bayesian techniques and sentiment analysis in your NLP solution Implement probabilistic graphical models and causal inferences Measure and optimize the performance of your machine learning models Who this book is for If you're a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you're an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You'll need some exposure to machine learning to get the best out of this book.
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781788830577/?ar
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    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Python deep learning projects : 9 projects demystifying neural network and deep learning models for building intelligent systems (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789134759 , 1789134757
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Insightful practical projects to master deep learning and neural network architectures using Python, Keras and MXNet About This Book Rich projects on computer vision, NLP, and image processing Build your own neural network and explore innumerable possibilities with deep learning Explore the power of Python for deep learning in various scenarios using insightful projects Who This Book Is For This book is for developers, data scientists, or enthusiasts, who have sound knowledge of python programming, basics of machine learning, and want to break into deep learning, either for opening a new career opportunity or for realizing their own AI projects. What You Will Learn Set up a Deep Learning development environment on AWS, using GPU-powered instances and the Deep Learning AMI Implement Sequence to Sequence Networks for modeling natural language processing Develop an end-to-end speech recognition system Build a system for pixel-wise semantic labeling of an image Develop a system that generates images and their regions In Detail Deep Learning has quietly revolutionized every field of Artificial Intelligence, enabling the development of applications that a few years ago were considered almost impossible. This book will provide all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each new project will build upon the experience and knowledge accumulated in the previous ones, allowing the reader to progressively master the subject. You will learn neural network models implementing a text classifier system using Recurrent Neural network model (RNN) and optimize it to understand the shortcomings you might come across while implementing a simple deep learning system. If you are looking to implement intelligent systems like Automatic Machine Translation, Handwriting Generation, Character Text Generation, Object Classification in Photographs, Colorization of Images, Image Caption Generation, Character Text Generation or Automatic Game Playing into your application then this book is for you. By the end of this book, you will come across various Recurrent and Convolutional Neural network implementations with practical hands-on to modeling concepts like regularization, Gradient clipping, and gradient normalization, LSTM, Bidirectional RNN's through a series engaging projects. Style and approach One stop guide to gain deep learning knowledge and skills by working on authentic, engagin...
    Note: Description based on online resource; title from title page (Safari, viewed March 1, 2019)
    URL: lizenzpflichtig
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  • 7
    Book
    Book
    Football and fascism : the politics of popular culture in Portugal (2023)
    Berlin : De Gruyter Oldenbourg
    Details
    ISBN: 9783110721225 , 3110721228
    Language: English
    Pages: X, 265 Seiten , Illustrationen , 23 cm x 15.5 cm
    Series Statement: RERIS studies in international sport relations volume 2
    Series Statement: RERIS studies in international sport relations
    Uniform Title: A pureza perdida do desporto
    Parallel Title: Erscheint auch als Kumar, Rahul Football and Fascism
    Dissertation note: Dissertation University of Lisbon
    DDC: 796.33409469
    Keywords: European history ; Europäische Geschichte ; Geschichte ; HISTORY / Europe / General ; HISTORY / General ; HISTORY / Social History ; Popular culture ; Populäre Kultur ; SOCIAL SCIENCE / Popular Culture ; Social & cultural history ; Sozial- und Kulturgeschichte ; Europa ; Europe ; Hochschulschrift ; Portugal ; Faschismus ; Ideologie ; Fußball ; Kultur ; Sozialgeschichte
    Abstract: Football and Fascism. The Politics of Popular Culture in Portugal tells the hidden history of football and discusses its political, social and cultural foundations, during the longest running authoritarian regime in Europe. Theoretically grounded on Bourdieu's field theory, and using a multi-scalar methodology, this award-winning research explores the political tensions between the nationalization of sports envisaged by the Portuguese "New State" and the integration of national football in a globalized urban popular culture. Mobilizing unexplored archival sources, and a wide array of primary materials, this groundbreaking work offers new insight on the administrative structures of the corporativist state, the making of an authoritarian cultural program, and the relation between state institutions and civil society. Besides broadening the scope of existing transnational histories of football, this study also puts into question the conventional geographies and political chronologies adopted in sports history. For his oustanding research, Rahul Kumar won the 2015 "Mário Soares Award - EDP Foundation" for best work in Portuguese history by researchers under 35 and received an honourable mention, also in 2015, in the "CES Award for Young Portuguese speaking Social Scientists", attributed by the Centre for Social Studies of Coimbra University
    URL: Unbekannt
    URL: Cover  (lizenzpflichtig)
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
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