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  • HU Berlin  (23)
  • Zuse-Institut Berlin
  • SB Falkenberg
  • GB Prösen
  • Informatik  (23)
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  • 1
    UID:
    almahu_9949070743102882
    Umfang: XI, 411 p. 178 illus., 122 illus. in color. , online resource.
    Ausgabe: 1st ed. 2021.
    ISBN: 9783030720650
    Serie: Studies in Computational Intelligence, 971
    Inhalt: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
    Anmerkung: Data Quality Evaluation, Outlier Detection and Missing Data Imputation Methods for IoT in Smart Cities -- Role of Machine Learning In Weather Related Event Predictions For A Smart City -- Applying Mobile based Community Participation Model in Smart Cities -- Digital Transformation to Build Smart Cities -- Rapid IoT Prototyping -- Fuzzy Dynamic Airspace Sectorization Problem -- Virtualization Technology for LoRaWAN Roaming Simulation in Smart-Cities -- Development of a IoT Based System for Mitigate the Impact of COVID-19 in Smart Cities -- Machine Learning based Cyber-security Defense at the Age of Industry 4.0 -- Software-Defined Location Privacy Protection for Vehicular Networks.
    In: Springer Nature eBook
    Weitere Ausg.: Printed edition: ISBN 9783030720643
    Weitere Ausg.: Printed edition: ISBN 9783030720667
    Weitere Ausg.: Printed edition: ISBN 9783030720674
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    UID:
    almahu_9949287405402882
    Umfang: XII, 280 p. 88 illus., 80 illus. in color. , online resource.
    Ausgabe: 1st ed. 2022.
    ISBN: 9783030966300
    Serie: Studies in Computational Intelligence, 1025
    Inhalt: This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.
    Anmerkung: The Past, Present, and Prospective Future of XAI: A Comprehensive Review -- An Overview of Explainable Artificial Intelligence for Cyber Security -- Artificial Intelligence: Practical & Ethical Challenges -- Domain Knowledge-aided Explainable Artificial Intelligence -- Machine Learning based IDS for Cyberattack Classification -- Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection -- Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats -- Network Forensics in the Era of Artificial Intelligence -- Obfuscation-based Mechanisms in Location-based Privacy Protection -- Intelligent Radio Frequency Fingerprinting to Identify Malicious Tags in the Internet of Things -- Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform -- Explainable Artificial Intelligence in Sustainable Smart Healthcare.
    In: Springer Nature eBook
    Weitere Ausg.: Printed edition: ISBN 9783030966294
    Weitere Ausg.: Printed edition: ISBN 9783030966317
    Weitere Ausg.: Printed edition: ISBN 9783030966324
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    UID:
    almahu_9949272440502882
    Umfang: XI, 289 p. 108 illus., 94 illus. in color. , online resource.
    Ausgabe: 1st ed. 2022.
    ISBN: 9783030971137
    Serie: Studies in Computational Intelligence, 1033
    Inhalt: This book aims to provide a vision that can combine the best of both Artificial Intelligence (AI) and communication networks for designing the deployment trajectory to establish flexible Unmanned Aerial Vehicles (UAV) communication networks. This book will discuss the major challenges that can face deploying unmanned aerial vehicles in emergent networks. It will focus on possible applications of UAV in a Smart City environment where they can be supported by Internet of Things (IoT), wireless sensor networks, as well as 5G, and beyond. This book presents the possible problems and solutions, the network integration of the UAV and compare the communication technologies to be used. This book will be a collection of original contributions regarding state of the art AI/ML based solutions in UAV communication networks which can be used for routing protocol design, transport layer optimization, user/application behaviour prediction, communication network optimization, security, and anomaly detection.
    Anmerkung: Machine Learning and AI Approach to Improve UAV Communication and Networking- Implementation of Machine Learning Techniques in Unmanned Aerial Vehicle Control and its Various Applications -- Machine Learning Techniques for UAV Trajectory Optimization: A Survey -- .
    In: Springer Nature eBook
    Weitere Ausg.: Printed edition: ISBN 9783030971120
    Weitere Ausg.: Printed edition: ISBN 9783030971144
    Weitere Ausg.: Printed edition: ISBN 9783030971151
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    UID:
    almahu_9947936558002882
    Umfang: XIV, 382 p. 167 illus. , online resource.
    ISBN: 9783319943015
    Serie: Lecture Notes in Computer Science, 10968
    Inhalt: This volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018. The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management.
    Anmerkung: BigData Modeling -- BigData Analysis -- BigData Algorithms -- BigData Practices -- BigData Analysis -- BigData Modeling.
    In: Springer eBooks
    Weitere Ausg.: Printed edition: ISBN 9783319943008
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    UID:
    almahu_9948234228402882
    Umfang: 1 online resource (125 pages) : , digital, PDF file(s).
    ISBN: 9781783081608 (ebook)
    Inhalt: Now widely recognized as one of the most effective methods for training future surgeons, simulation has become an integral part of the multidimensional landscape that makes up a surgical education curriculum. This book provides an overview of the current status of simulation-based training in various surgical disciplines and explains the science of surgical education, from developing a simulation programme to properly assess surgeons-in-training, to transferring the skills acquired through simulation into real-life settings. As such, the book can be used as a guide for understanding the basics of surgical education.
    Anmerkung: Title from publisher's bibliographic system (viewed on 02 Oct 2015). , Surgical simulation : an overview -- Simulation in historical perspective : the history of medical and surgical simulation -- The role of animal models in surgical training and assessment -- Full procedural surgical simulation -- Developing non-technical skills -- Learning curves for simulators -- Developing a simulation programme -- Patient safety and simulation -- Psychometrics -- Future of surgical simulation.
    Weitere Ausg.: Print version: ISBN 9781783081561
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
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  • 6
    UID:
    almahu_BV047664885
    Umfang: xiii, 435 Seiten : , Illustrationen, Diagramme (überwiegend farbig).
    ISBN: 978-3-030-90086-1
    Serie: Studies in computational intelligence volume 1001
    Inhalt: Part I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machine Learning Techniques and Fake News -- Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches -- Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media -- Fake News Detection using Machine Learning and Natural Language Processing -- Fake News Detection using Ensemble Learning and Machine Learning Algorithms -- Evaluation of Machine Learning Methods for Fake News Detection -- Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering -- Deep Learning with Self-Attention Mechanism for Fake News Detection --
    Inhalt: Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection --
    Inhalt: Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches
    Weitere Ausg.: ISBN 9783030900885
    Weitere Ausg.: ISBN 9783030900892
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-3-030-90087-8
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Falschmeldung ; Erkennung ; Künstliche Intelligenz ; Maschinelles Lernen
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 7
    UID:
    almahu_9949226663802882
    Umfang: XIII, 435 p. 156 illus., 135 illus. in color. , online resource.
    Ausgabe: 1st ed. 2022.
    ISBN: 9783030900878
    Serie: Studies in Computational Intelligence, 1001
    Inhalt: This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
    Anmerkung: Part I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machine Learning Techniques and Fake News -- Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches -- Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media -- Fake News Detection using Machine Learning and Natural Language Processing -- Fake News Detection using Ensemble Learning and Machine Learning Algorithms -- Evaluation of Machine Learning Methods for Fake News Detection -- Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering -- Deep Learning with Self-Attention Mechanism for Fake News Detection -- Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection -- Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches.
    In: Springer Nature eBook
    Weitere Ausg.: Printed edition: ISBN 9783030900861
    Weitere Ausg.: Printed edition: ISBN 9783030900885
    Weitere Ausg.: Printed edition: ISBN 9783030900892
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    Buch
    Buch
    Boca Raton [u.a.] :Taylor & Francis,
    UID:
    almahu_BV040589146
    Umfang: XX, 526 S. : , Ill., graph. Darst.
    ISBN: 978-1-466-50606-0
    Sprache: Englisch
    Fachgebiete: Technik , Informatik
    RVK:
    RVK:
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  • 9
    UID:
    almahu_BV041583464
    Umfang: X, 330 S. : , Ill., graph. Darst.
    ISBN: 978-3-642-40887-8
    Serie: Studies in computational intelligence 520
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-3-642-40888-5
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    RVK:
    Schlagwort(e): Eingebettetes System ; Echtzeitsystem ; Software Engineering ; Aufsatzsammlung
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  • 10
    Buch
    Buch
    New York, NY [u.a.] :Springer,
    UID:
    almahu_BV042637975
    Umfang: XIII, 1334 S. : , Ill., graph. Darst.
    ISBN: 978-1-4939-2091-4
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-1-4939-2092-1
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
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    Schlagwort(e): Informatik ; Datenschutz ; Datenbankverwaltung ; Telekommunikation ; Nachrichtentechnik ; Datenspeicherung ; Rechenzentrum
    Mehr zum Autor: Khan, Samee Ullah.
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