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  • 1
    UID:
    b3kat_BV046114933
    Format: VIII, 176 Seiten , Illustrationen, Diagramme , 24 cm x 17 cm, 493 g
    ISBN: 9783110625486
    Series Statement: De Gruyter series on the Internet of Things
    Note: Erscheint auch als Open Access bei De Gruyter
    Additional Edition: Erscheint auch als Online-Ausgabe, EPUB ISBN 978-3-11-062578-3 10.1515/9783110628517
    Additional Edition: Erscheint auch als Online-Ausgabe, PDF ISBN 978-3-11-062851-7 10.1515/9783110628517
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Internet der Dinge ; Machine to Machine ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Author information: Dey, Nilanjan 1984-
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  • 2
    UID:
    b3kat_BV046452133
    Format: 1 Online-Ressource (XVI, 403 Seiten) , Illustrationen
    ISBN: 9783030390471
    Series Statement: Studies in Systems, Decision and Control 266
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-39046-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-39048-8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-39049-5
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Dey, Nilanjan 1984-
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  • 3
    UID:
    almahu_9948674184602882
    Format: XXVII, 508 p. 256 illus., 162 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789813340732
    Series Statement: Lecture Notes in Networks and Systems, 169
    Content: The book is a collection of papers presented at First Doctoral Symposium on Natural Computing Research (DSNCR 2020), held during 8 August 2020 in Pune, India. The book covers different topics of applied and natural computing methods having applications in physical sciences and engineering. The book focuses on computer vision and applications, soft computing, security for Internet of Things, security in heterogeneous networks, signal processing, intelligent transportation system, VLSI design and embedded systems, privacy and confidentiality, big data and cloud computing, bioinformatics and systems biology, remote healthcare, software security, mobile and pervasive computing, biometrics-based authentication, natural language processing, analysis and verification techniques, large scale networking, distributed systems, digital forensics, and human-computer interaction.
    Note: Fake Review Detection System through Ana-lytics of Sales Data -- Building Topical 2-Gram Model: Discovering and Visualizing the Topics using Frequent Pattern Mining -- Transliteration of Residential Addresses having Hindi, Urdu and English -- Deep Classification of Sound: A Concise Review -- Word Sense Disambiguation for Marathi Language Using Wordnet and the Lesk Approach -- Particle Swarm Optimization Based Resource Allocation in Service Composition -- Text Categorization of Marathi News Articles using Machine Learning -- Effect of Distance Metrics on Multi-label Classification -- Review Paper on Sentimental Analysis for Recommendation System -- Text Recognition using K-means Clustering and Support Vector Machine.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789813340725
    Additional Edition: Printed edition: ISBN 9789813340749
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    UID:
    almahu_9949567209202882
    Format: XV, 535 p. 252 illus., 194 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819939824
    Series Statement: Smart Innovation, Systems and Technologies, 361
    Content: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
    Note: Intrusion Detection Model for IoT Networks using Graph Convolution Networks(GCN) -- Drowsiness Detection System -- A Deep Learning Technique to Recommend Music based on Facial and Speech Emotions -- Smart Chair Posture Detection and Correction Using IOT -- The Opinions Imparted On Singular's Face.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819939817
    Additional Edition: Printed edition: ISBN 9789819939831
    Additional Edition: Printed edition: ISBN 9789819940394
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    UID:
    almahu_9949420165402882
    Format: XVI, 846 p. 399 illus., 282 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811935718
    Series Statement: Smart Innovation, Systems and Technologies, 311
    Content: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
    Note: Review of Different ML Techniques Used for Heart Disease Prediction -- Image Enhancement by various Segmentation Techniques using Machine Learning -- Sequence to Sequence Video Captioning System -- Stock Price Prediction Using Sentiment Analysis on News Headlines -- A Robust Framework for Governing Blockchain-based Distributed Ledgers during Covid-19 for Academic Establishments -- Cyber Security and it's Prediction with Cloud Data Computing and IoT -- A Review on Societal Application of Data Analytics -- Study of Security in Cryptocurrency -- Study And Analysis of Network Steganography Methods -- Survey On Driver Fatigue Detection Using Sensors,Big Data Analytics and Machine Learning Techniques -- On Characteristics of κ-Q- Fuzzy Translation and Fuzzy Multiplication in T-Ideals in T-Algebra -- Blockchain driven Smart Healthcare System: Challenges, Technologies and Future Research -- A Future to the Blockchain Technology and Its Concepts -- Impacts of DDoS attacks in Software Defined Networks -- IoT based Agriculture Trend prediction based on Weather Data -- EEG in Optic Nerves Disorder Based on FSVM using Kernel Membership Function -- DDoS DETECTION in ONOS SDN CONTROLLER USING SNORT -- Classification of Keratoconus using Corneal Topography Pattern with Transfer Learning Approach.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811935701
    Additional Edition: Printed edition: ISBN 9789811935725
    Additional Edition: Printed edition: ISBN 9789811935732
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 6
    UID:
    almahu_9949578754902882
    Format: XII, 97 p. 34 illus., 30 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819948505
    Series Statement: SpringerBriefs in Computational Intelligence,
    Content: This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
    Note: 1. Introduction to Predictive Analytics -- 2. Data Acquisition and Preparation -- 3. Intelligent Approaches -- 4. Predictive Maintenance -- 5. Predictive Maintenance for Mechanical Design System -- 6. Predictive Maintenance for Manufacturing -- 7. Conclusions.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819948499
    Additional Edition: Printed edition: ISBN 9789819948512
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    UID:
    almahu_9948612950302882
    Format: XIII, 78 p. 28 illus., 25 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811563744
    Series Statement: SpringerBriefs in Computational Intelligence,
    Content: This book discusses the use of converged technology, a rapidly growing area that enhancements smart devices, communication, Internet of things (IoT), and augmented reality (AR). The book also explores the need for convergence of IoT and AR for various purposes, like personalized services, context awareness, and bridging the gap between the physical and digital world. Furthermore, it examines the implementation of IoT and AR in use cases to define pathways that allow application developers to design modern solutions to satisfy requirements like scalability, abstraction and security. Featuring an introduction, and covering sensing techniques, and effective architecture in AR-based IoT real-time use cases, the book also addresses the issues and challenges in designing standard architecture and middleware to support diverse applications. Given its scope, it is a valuable resource for teachers and students in engineering, as well as researchers, developers, and users working in multi-disciplinary areas.
    Note: Introduction -- IoT Overview -- Emerging Trends in IoT -- IoT Use Cases -- Energy and Utilities -- Context Management in IoT -- Context and Context Management -- Context-aware Architecture -- Augmented Reality and IoT -- Augmented Reality and IoT design Issues -- Augmented Reality and IoT enabled Architecture -- Conclusions.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811563737
    Additional Edition: Printed edition: ISBN 9789811563751
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    UID:
    almahu_9949534784702882
    Format: XXVII, 575 p. 160 illus., 128 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031297137
    Series Statement: Signals and Communication Technology,
    Content: This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as "Industry 4.0." The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML.
    Note: Introduction -- Section 1: Fundamentals of the Industry 4.0 -- Fundamental of IoT -- Architecture of IoT -- Automation -- Big data challenges -- Cloud computing services -- convergence of IoT and cloud computing -- Section 2: Emerging trends in Artificial Intelligence -- Knowledge representation -- Machine learning -- Deep learning -- AI based industry automation -- Section 3: AI based data management, architecture and framework -- Algorithms and techniques for data management and cloud -- Reference architectures -- Frameworks for integrating IoT, ML and Cloud -- Section 4: Software Portability and Virtual Machine Design -- Virtual Machine designs -- VM design and programming-language/compiler theory concerns -- Section 5: Security for industry 4.0 -- Industry 4.0 -- Artificial intelligence -- Machine Learning -- Signal Processing -- Multimedia -- Big data -- Software Portability -- Virtual Machines -- Conclusion. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031297120
    Additional Edition: Printed edition: ISBN 9783031297144
    Additional Edition: Printed edition: ISBN 9783031297151
    Language: English
    Subjects: Economics
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 9
    UID:
    almahu_9949226666302882
    Format: XVI, 832 p. 354 illus., 251 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811641770
    Series Statement: Smart Innovation, Systems and Technologies, 248
    Content: This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fifth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2021), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
    Note: Chapter 1. Performance Analysis of Secure Hash Algorithm-2 (SHA-2) and implementing on FPGA -- Chapter 2. Chat-it-Loud!: Real-time Transcribing App for Communication for Hearing-Impaired -- Chapter 3. ICT in Indian Agriculture: Opportunities and Constraints -- Chapter 4. Estimation of Economic Impact of National Open Digital Ecosystems -- Chapter 5. Analysis and Prediction of COVID-19 with Image Super-Resolution using CNN and SRCNN Based Approach -- Chapter 6. Novel Approach to Improve Security Systems -- Chapter 7. Digital Forensic Tools for Cloud Computing Environment -- Chapter 8. Privacy Preserving Scheme for Smart Transportation in 5G Integrated IoT -- Chapter 9. Classification of Medical Images using Deep Learning to aid in Adaptive Big Data Crowdsourcing platforms -- Chapter 10. Cursor Movement Using Hand Gestures -- Chapter 11. EZAdopt -- Chapter 12. 5G Security and Privacy Issues: A Perspective View -- Chapter 13. Design and Development of an Algorithm to Secure Big Data on Cloud Computing -- Chapter 14. Curiosit -Driven Dynamic Reconfiguration of Swarm Robots by Using Simple Behaviours -- Chapter 15. Pre Stampede Monitoring and Alarm System.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811641763
    Additional Edition: Printed edition: ISBN 9789811641787
    Additional Edition: Printed edition: ISBN 9789811641794
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 10
    UID:
    almahu_9949226766902882
    Format: XIV, 117 p. 58 illus., 50 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811651601
    Series Statement: Studies in Big Data, 94
    Content: This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
    Note: Introduction to Data Science -- Data Collection and Preparation -- Data Analysis and Machine learning Algorithms -- Data Visualization Tools and Data Modelling -- Data Science in Information, Communication and Technology -- Data Science in Civil & Mechanical Engineering -- Data Science in Clinical Decision System -- Conclusions.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811651595
    Additional Edition: Printed edition: ISBN 9789811651618
    Additional Edition: Printed edition: ISBN 9789811651625
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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