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  • BSZ  (5)
  • DNB
  • HBZ
  • Englisch  (5)
  • Italienisch
  • 2020-2024  (5)
  • 1990-1994
  • 2023  (5)
  • Tsihrintzis, George A.  (3)
  • Biswas, Anupam  (2)
  • Cham : Springer International Publishing  (5)
  • Cambridge : Polity Press
  • Cham : Springer International Publishing AG
  • Artificial intelligence.  (5)
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  • Englisch  (5)
  • Italienisch
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  • 2020-2024  (5)
  • 1990-1994
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  • 1
    ISBN: 9783031098352
    Sprache: Englisch
    Seiten: 1 Online-Ressource(IX, 419 p. 115 illus., 72 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Studies in Computational Intelligence 1054
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence.
    Kurzfassung: A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-heuristics, and Swarm Intelligence -- Introductory Review of Swarm Intelligence Techniques -- Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends -- Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems -- Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems.
    Kurzfassung: Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems. .
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031205859
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XIII, 372 p. 214 illus., 191 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Artificial Intelligence-Enhanced Software and Systems Engineering 4
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Software engineering.
    Kurzfassung: Introduction -- e-Government: The concept, the environment & critical issues for the Back-Office systems -- Semantic Web: The evolution of the Web & the opportunities for the e-Government -- Representation and knowledge management for the benefit of e-Government - Opportunities through the tools of the Semantic Web -- Towards Open Data and Open Governance – Representation of knowledge and Triplification of data in the field of the Greek Open Government Data -- Production and publication of linked open data: The case of open ontologies -- Education and E-Government - The case of a Moodle based platform for the education and evaluation of civil servants -- Conclusions – Future Work.
    Kurzfassung: Evolving technological advances in Artificial Intelligence-empowered Software present significant potential to lead e-Government towards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novel semantic web-based and linked open data-based approaches are developed for the modelling and management of the huge volume of administrative data and the procedures followed by public sector bodies and for the production and management of relevant administrative knowledge. The book consists of eight chapters, each of which includes relevant bibliographic references for deeper probing. Appendices complement this work with sections of configuration files of the applications developed and used. Professors, researchers, scientists, engineers and students in artificial intelligence, e-government and other computer science-related disciplines are expected to benefit greatly from it, along with non-specialist readers from other disciplines who are interested in getting versed in the recent developments in e-government.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031223716
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XII, 193 p. 78 illus., 59 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Intelligent Systems Reference Library 236
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    Schlagwort(e): Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Data protection.
    Kurzfassung: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .
    Kurzfassung: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 4
    ISBN: 9783031054914
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XVIII, 398 p. 150 illus., 107 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Smart Innovation, Systems and Technologies 314
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    Schlagwort(e): Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering mathematics. ; Engineering
    Kurzfassung: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.
    Kurzfassung: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 5
    Online-Ressource
    Online-Ressource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031124198
    Sprache: Englisch
    Seiten: 1 Online-Ressource(XV, 356 p. 161 illus., 122 illus. in color.)
    Ausgabe: 1st ed. 2023.
    Serie: Intelligent Systems Reference Library 231
    Paralleltitel: Erscheint auch als
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    Schlagwort(e): Engineering ; Computational intelligence. ; Artificial intelligence.
    Kurzfassung: Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation -- A Survey on Deep Learning Models to detect Hate Speech and Bullying in Social Media -- A Deep Learning based System to Estimate Crowd and Detect Violence in Videos. .
    Kurzfassung: Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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