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  • 1
    Online Resource
    Online Resource
    Modern approaches in machine learning and cognitive science: A walkthrough : latest trends in AI (2020)
    Cham : Springer
    Details
    UID:
    b3kat_BV046451955
    Format: 1 Online-Ressource (VIII, 245 Seiten)
    ISBN: 9783030384456
    Series Statement: Studies in Computational Intelligence volume 885
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-38444-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-38446-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-38447-0
    Language: English
    Subjects: Computer Science
    RVK:
    ST 300
    Keywords: Maschinelles Lernen ; Künstliche Intelligenz ; Kognitionswissenschaft
    DOI: 10.1007/978-3-030-38445-6
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Zurada, Jacek M. 1944-
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    TH Brandenburg
    HTW Berlin
    BTU Cottbus
    TU Berlin
  • 2
    Online Resource
    Online Resource
    Service-Oriented Computing – ICSOC 2015 Workshops : WESOA, RMSOC, ISC, DISCO, WESE, BSCI, FOR-MOVES, Goa, India, November 16-19, 2015, Revised Selected Papers (2016)
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    Details
    UID:
    almahu_9947364614602882
    Format: XXIX, 255 p. 69 illus. , online resource.
    ISBN: 9783662505397
    Series Statement: Lecture Notes in Computer Science, 9586
    Content: This book constitutes the revised selected papers of the 13th International Conference on Service-Oriented Computing, ICSOC 2015, held in Goa, India in November 2015. The conference hosted the following seven workshops: 11th International Workshop on Engineering Service-Oriented Applications, WESOA 2015; Second Workshop on Resource Management in Service-Oriented Computing, RMSOC 2015; Workshop on Intelligent Service Clouds, ISC 2015; Second Workshop on Intelligent Service Clouds; First International Workshop on Dependability Issues in Services Computing, DISCO 2015; Workshop on Engineering for Service-oriented Enterprises, WESE 2015; First International Workshop on Big Data Services and Computational Intelligence, BSCI 2015 (joined with ISC 2015); and Second International Workshop on Formal Modeling and Verification of Service-based systems, FOR-MOVES 2015. The 22 full papers included in this volume were carefully reviewed and selected from 45 submissions.
    Note: Engineering Service-Oriented Applications -- Introduction to the 11th International Workshop on Engineering Service-Oriented Applications (WESOA15) -- From Choreography Diagrams to RESTful Interactions -- Estimating the Complexity of Software Services using Entropy based Metric -- Establishing Distributed Governance Infrastructures for Enacting Cross-Organization Collaborations -- All the Services Large and Micro: Revisiting Industrial Practice in Services Computing -- Distributed Service Co-evolution based on Domain Objects -- A Web Services Infrastructure for the Management of Mashup Interfaces -- Resource Management in Service-Oriented Computing Introduction to the 2nd Workshop on Resource Management in Service-Oriented Computing (RMSOC) 2015 -- S-PDH: A CPS Service Contract Framework for Composition.-Towards RAM-Based Variant Generation of Business Process Models -- Extending Generic BPM with Computer Vision Capabilities -- Engineering for Service-oriented Enterprise Introduction to the Proceedings of the Workshop on Engineering for Service-oriented Enterprise (WESE) 2015 -- Extraction of Topic Map Ontology for Web Service-oriented -- Case study method and Research design for The Dynamic Multilevel Component Selection Problem -- Formal Modeling and Verification of Service-based systems Introduction to the Proceedings of the Workshop on FORmal MOdeling and VErification of Service-based systems (FOR-MOVES) 2015 -- Expressive Equivalence and Succinctness of Parametrized Automata with respect to Finite Memory Automata -- Toward the formalization of BPEL -- Intelligent Service Clouds Introduction to the Proceedings of the Workshop on Intelligent Service Clouds (ISC) 2015 -- Context-Aware Personalization for Smart Mobile Cloud Services -- Information governance requirements for architectural solutions supporting dynamic business networking -- An Evolutionary Multi-objective Approach for the Dynamic Multilevel Component Selection Problem -- Dependability Issues in Services Computing Introduction to the Proceedings of the First International Workshop on Dependability Issues in Services Computing (DISCO) 2015 -- A Reusable Architecture for Dependability and Performance Benchmarking of Cloud Services -- Safe Configurations of Replica Voting Processes in Fault-resilient Data Collection Services -- On Composition of Checkpoint and Recovery Protocols for Distributed Systems -- A Proactive Solution to Manage Web Service Unavailability in Service Oriented Software Systems.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783662505380
    Language: English
    Keywords: Konferenzschrift
    DOI: 10.1007/978-3-662-50539-7
    URL: http://dx.doi.org/10.1007/978-3-662-50539-7
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Inhaltsverzeichnis
    URL: Abstract
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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    HU Berlin
    UB Potsdam
    HTW Berlin
    BTU Cottbus
  • 3
    Online Resource
    Online Resource
    Harnessing green IT : principles and practices (2012)
    Chichester, West Sussex, UK :IEEE ComputerSociety / IEEE / Wiley,
    Details
    UID:
    almafu_9959327300002883
    Format: 1 online resource
    Edition: 1st ed.
    ISBN: 9781118306529 , 111830652X , 9781118306512 , 1118306511 , 9781118306536 , 1118306538 , 9781118305393 , 1118305396
    Content: Ultimately, this is a remarkable book, a practical testimonial, and a comprehensive bibliography rolled into one. It is a single, bright sword cut across the various murky green IT topics. And if my mistakes and lessons learned through the green IT journey are any indication, this book will be used every day by folks interested in greening IT."--Simon Y. Liu, Ph. D. & Ed. D., Editor-in-Chief, IT Professional Magazine, IEEE Computer Society, Director, U.S. National Agricultural Library. This book presents a holistic perspective onGr.
    Note: Green IT: An Overview -- , Green Devices and Hardware -- , Green Software -- , Sustainable Software Development -- , Green Data Centres -- , Green Data Storage -- , Green Networks and Communications -- , Enterprise Green IT Strategy -- , Sustainable Information Systems and Green Metrics -- , Enterprise Green IT Readiness -- , Sustainable IT Services: Creating a Framework for Service Innovation -- , Green Enterprises and the Role of IT -- , Environmentally Aware Business Process Improvement in the Enterprise Context -- , Managing Green IT -- , Regulating Green IT: Laws, Standards and Protocols -- , Green Cloud Computing and Environmental Sustainability -- , Harnessing Semantic Web Technologies for the Environmental Sustainability of Production Systems -- , Green IT: An Outlook.
    Additional Edition: Print version: Harnessing green IT. Chichester, West Sussex, UK : John Wiley & Sons, Inc., 2012 ISBN 9781119970057
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118305393
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118305393
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118305393
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
    FU Berlin
  • 4
    Online Resource
    Online Resource
    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Latest Trends in AI (2020)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948253966602882
    Format: VIII, 245 p. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030384456
    Series Statement: Studies in Computational Intelligence, 885
    Content: This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.
    Note: Face Recognition using Raspberry PI -- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA) -- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation -- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network -- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day -- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter -- Dexterous Trashbot -- Automated Question Generation and Answer Verification using Visual Data -- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring -- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester -- An Approach to End to End Anonymity -- PHT and KELM Based Face Recognition -- Link Failure Detection in MANET: A Survey -- Review of Low Power Techniques for Neural Recording Applications -- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review -- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design -- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique -- Improvement in Extended Object tracking with the Vision-Based Algorithm.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783030384449
    Additional Edition: Printed edition: ISBN 9783030384463
    Additional Edition: Printed edition: ISBN 9783030384470
    Language: English
    DOI: 10.1007/978-3-030-38445-6
    URL: https://doi.org/10.1007/978-3-030-38445-6
    Library Location Call Number Volume/Issue/Year Availability
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    Open Access Request
    HU Berlin
  • 5
    Online Resource
    Online Resource
    Harnessing green IT : principles and practices (2012)
    Chichester, West Sussex, UK :John Wiley & Sons, Inc.,
    Details
    UID:
    almahu_9948316052002882
    Format: xxxiv, 395 p. : , ill.
    Edition: 1st ed.
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Language: English
    Keywords: Electronic books.
    URL: Click to View
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
  • 6
    Online Resource
    Online Resource
    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Latest Trends in AI (2020)
    Cham :Springer International Publishing :
    Details
    UID:
    edoccha_9959767499702883
    Format: 1 online resource (vi, 245 pages) : , illustrations.
    Edition: 1st ed. 2020.
    ISBN: 3-030-38445-4
    Series Statement: Studies in Computational Intelligence, 885
    Content: This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.
    Note: Face Recognition using Raspberry PI -- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA) -- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation -- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network -- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day -- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter -- Dexterous Trashbot -- Automated Question Generation and Answer Verification using Visual Data -- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring -- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester -- An Approach to End to End Anonymity -- PHT and KELM Based Face Recognition -- Link Failure Detection in MANET: A Survey -- Review of Low Power Techniques for Neural Recording Applications -- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review -- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design -- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique -- Improvement in Extended Object tracking with the Vision-Based Algorithm.
    Additional Edition: ISBN 3-030-38444-6
    Language: English
    DOI: 10.1007/978-3-030-38445-6
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    Charité
  • 7
    Online Resource
    Online Resource
    Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough : Latest Trends in AI (2020)
    Cham :Springer International Publishing :
    Details
    UID:
    almafu_9959767499702883
    Format: 1 online resource (vi, 245 pages) : , illustrations.
    Edition: 1st ed. 2020.
    ISBN: 3-030-38445-4
    Series Statement: Studies in Computational Intelligence, 885
    Content: This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.
    Note: Face Recognition using Raspberry PI -- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA) -- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation -- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network -- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day -- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter -- Dexterous Trashbot -- Automated Question Generation and Answer Verification using Visual Data -- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring -- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester -- An Approach to End to End Anonymity -- PHT and KELM Based Face Recognition -- Link Failure Detection in MANET: A Survey -- Review of Low Power Techniques for Neural Recording Applications -- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review -- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design -- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique -- Improvement in Extended Object tracking with the Vision-Based Algorithm.
    Additional Edition: ISBN 3-030-38444-6
    Language: English
    DOI: 10.1007/978-3-030-38445-6
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
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