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  • 1
    Online Resource
    Online Resource
    Green Technologies for Industrial Waste Remediation / (2023)
    Cham :Springer Nature Switzerland, | Cham :Springer.
    Details
    UID:
    edoccha_BV049441911
    Format: 1 Online-Ressource (VI, 316 p. 52 illus., 44 illus. in color).
    Edition: 1st ed. 2023
    ISBN: 978-3-031-46858-2
    Series Statement: Environmental Science and Engineering
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46857-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46859-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46860-5
    Language: English
    DOI: 10.1007/978-3-031-46858-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Artificial intelligence and machine learning for EDGE computing / (2022)
    London, United Kingdom ; : Elsevier,
    Details
    UID:
    almahu_9949295150702882
    Format: 1 online resource (516 pages)
    ISBN: 0-12-824055-5
    Content: "Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering."--
    Note: Includes index. , Part I. AI and machine learning. 1. Supervised learning -- 2. Supervised learning : from theory to applications -- 3. Unsupervised learning -- 4. Regression analysis -- 5. The integrity of machine learning algorithms against software defect prediction -- 6. Learning in sequential decision-making under uncertainty -- 7. Geospatial crime analysis and forecasting with machine learning techniques -- 8. Trust discovery and information retrieval using artificial intelligence tools from multiple conflicting sources of web cloud computing and e-commerce users -- 9. Reliable diabetes mellitus forecasting using artificial neural network multilayer perceptron -- 10. A study of deep learning approach for the classification of electroencephalogram (EEG) brain signals -- 11. Integrating AI in e-procurement of hospitality industry in the UAE -- 12. Application of artificial intelligence and machine learning in blockchain technology. -- Part II. Data science and predictive analysis. 13. Implementing convolutional neural network model for prediction in medical imaging -- 14. Fuzzy-machine learning models for the prediction of fire outbreaks : a comparative analysis -- 15. Vehicle telematics : an Internet of Things and Big Data approach -- 16. Evaluate learner level assessment in intelligent e-learning systems using probabilistic network model -- 17. Ensemble method for multiclassification of COVID-19 virus using spatial and frequency domain features over X-ray images -- 18. Chronological text similarity with pretrained embedding and edit distance -- 19. Neural hybrid recommendation based on GMF and hybrid MLP -- 20. A real-time performance monitoring model for processing of IoT and big data using machine learning -- 21. COVID-19 prediction from chest X-ray images using deep convolutional neural network -- 22. Hybrid deep learning neuro-fuzzy networks for industrial parameters estimation -- 23. An intelligent framework to assess core competency using the level prediction model (LPM). -- Part III. Edge computing. 24. Edge computing : a soul to Internet of things (IoT) data -- 25. 5G : the next-generation technology for edge communication -- 26. Challenges and opportunities in edge computing architecture using machine learning approaches -- 27. State of the art for edge security in software-defined networks -- 28. Moving to the cloud, fog, and edge computing paradigms : convergences and future research direction -- 29. A comparative study on IoT-aided smart grids using blockchain platform -- 30. AI cardiologist at the edge : a use case of a dew computing heart monitoring solution.
    Additional Edition: Print version: Pandey, Rajiv Artificial Intelligence and Machine Learning for EDGE Computing San Diego : Elsevier Science & Technology,c2022 ISBN 9780128240540
    Language: English
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  • 3
    Online Resource
    Online Resource
    Quantum Computing: A Shift from Bits to Qubits (2023)
    Singapore : Springer Nature Singapore | Singapore : Springer
    Details
    UID:
    b3kat_BV048885546
    Format: 1 Online-Ressource (XXI, 479 p. 256 illus., 193 illus. in color)
    Edition: 1st ed. 2023
    ISBN: 9789811995309
    Series Statement: Studies in Computational Intelligence 1085
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1995-29-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1995-31-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1995-32-3
    Language: English
    Subjects: Computer Science
    RVK:
    ST 300
    DOI: 10.1007/978-981-19-9530-9
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Online Resource
    Online Resource
    Model and data engineering : 9th international conference, MEDI 2019, Toulouse, France, October 28–31, 2019, proceedings (2019)
    Cham, Switzerland : Springer
    Details
    UID:
    b3kat_BV046229865
    Format: 1 Online-Ressource (XV, 349 Seiten) , 119 Illustrationen, 68 in Farbe
    ISBN: 9783030320652
    Series Statement: Lecture notes in computer science 11815
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-32064-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-32066-9
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Informationssystem ; Datenbanksystem ; Datenmodell ; Metamodell ; Ontologie ; Modellgetriebene Entwicklung ; Formale Methode ; Konferenzschrift
    DOI: 10.1007/978-3-030-32065-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    Online Resource
    Online Resource
    Green Technologies for Industrial Waste Remediation / (2023)
    Cham :Springer Nature Switzerland, | Cham :Springer.
    Details
    UID:
    almafu_BV049441911
    Format: 1 Online-Ressource (VI, 316 p. 52 illus., 44 illus. in color).
    Edition: 1st ed. 2023
    ISBN: 978-3-031-46858-2
    Series Statement: Environmental Science and Engineering
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46857-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46859-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46860-5
    Language: English
    DOI: 10.1007/978-3-031-46858-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 6
    Online Resource
    Online Resource
    Green Technologies for Industrial Waste Remediation / (2023)
    Cham :Springer Nature Switzerland, | Cham :Springer.
    Details
    UID:
    edocfu_BV049441911
    Format: 1 Online-Ressource (VI, 316 p. 52 illus., 44 illus. in color).
    Edition: 1st ed. 2023
    ISBN: 978-3-031-46858-2
    Series Statement: Environmental Science and Engineering
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46857-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46859-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46860-5
    Language: English
    DOI: 10.1007/978-3-031-46858-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    Online Resource
    Online Resource
    Industrial System Engineering for Drones : A Guide with Best Practices for Designing (2019)
    Berkeley, CA :Apress :
    Details
    UID:
    almahu_9948126229002882
    Format: XV, 261 p. 62 illus. , online resource.
    Edition: 1st ed. 2019.
    ISBN: 9781484235348
    Content: Explore a complex mechanical system where electronics and mechanical engineers work together as a cross-functional team.Using a working example, this book is a practical “how to” guide to designing a drone system. As system design becomes more and more complicated, systematic, and organized, there is an increasingly large gap in how system design happens in the industry versus what is taught in academia. While the system design basics and fundamentals mostly remain the same, the process, flow, considerations, and tools applied in industry are far different than that in academia. Designing Drone Systems takes you through the entire flow from system conception to design to production, bridging the knowledge gap between academia and the industry as you build your own drone systems.
    Note: Chapter 1: Introduction -- Chapter 2: Drone System Design Flow -- Chapter 3: Key Ingredients Selection Considerations -- Chapter 4: Drone Hardware Development -- Chapter 5: System Assembly, Bring Up and Validation -- Chapter 6: Software Development -- Chapter 7: Drone Product Certification.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781484235331
    Additional Edition: Printed edition: ISBN 9781484235355
    Language: English
    DOI: 10.1007/978-1-4842-3534-8
    URL: https://doi.org/10.1007/978-1-4842-3534-8
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    Online Resource
    Online Resource
    Green Technologies for Industrial Waste Remediation (2023)
    Cham :Springer Nature Switzerland :
    Details
    UID:
    almahu_9949599165402882
    Format: VI, 316 p. 52 illus., 44 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031468582
    Series Statement: Environmental Science and Engineering,
    Content: This proposed book chapter is expected to provide the readers with wide aspects of green technologies for industrial waste remediation. The first chapter is dedicated to the introduction to the title of the book. The chapter discusses various green technologies for industrial waste remediation. After that, the second chapter emphasizes the different types of applications of microorganisms in industrial waste treatment. After that, chapters emphasize the specific area of the title, including the micro and nanofiltration technology for the treatment of industrial wastewater, methods for the recovery and removal of heavy metals from industrial effluents, algal photobioreactor technology for industrial wastewater treatment, carbon capture and energy recovery, bioremediation of radioactive wastes, membrane-based technologies for industrial waste management, valorization of agro-industrial wastes for biorefinery products, bioaccumulation and detoxification of metals through genetically engineered microorganism, application of biochar in waste remediation, constructed wetlands for industrial wastewater remediation, bioelectrochemical treatment of recalcitrant pollutants, microplastics, petrochemicals including BTEX, applications of biosorbents in industrial wastewater treatment, Microbial biofilm reactor for sustainable wastewater treatment, dye adsorption and degradation using microbial consortium, sustainable treatment of endocrine disruptive chemicals released from industries, biological nanomaterials for industrial wastewater management, vermifiltration as a natural, cost-effective and green technology for biomanagement of industrial wastewater, biocatalytic remediation of industrial pollutants, and green treatment of poly aromatic hydrocarbons released from industrial waste. All the chapters cover various aspects of sustainable management of industrial wastes covering relevant literature and data. Further, this book discusses the various advanced techniques/methods adopted for the enhancement of waste management, like the application of nanoparticles. This book discusses other related topics such as algal photobioreactors for carbon dioxide sequestration. Further, chapters are included to discuss about life cycle assessment of the wastewater treatment tools and commercialization aspects.
    Note: 1. Application of Microorganisms in Industrial Waste Treatment -- 2. An Overview Of Fungi And Nanomaterial-Based Technologies for The Treatment Of Industrial Effluents -- 3. Hazardous Effects of Heavy Metals from Industrial Wastewaters and Their Remediation Through Green Technology -- 4. Algal Photo bioreactors: A promising technology for wastewater treatment -- 5. Membrane based technologies for industrial waste management -- 6. Valorization of Agro-Industrial Wastes for Biorefinery Products -- 7. A Critical Assessment Of Processes And Products For Valorization Of Agroforestry Industrial Wastes For Biorefinery -- 8. Bioaccumulation and detoxification of metals through Genetically Engineered Microorganism -- 9. Constructed wetlands for industrial wastewater remediation -- 10. Bioelectrochemical Treatment of Petrochemicals -- 11. Biogenic Nanomaterials: Synthesis, Characterization and its Potential in Dye Remediation -- 12. Biocatalytic Remediation Of Industrial Pollutants -- 13. Photocatalytic Treatment of Wastewater -- 14. Microbial Biofilm Reactor for Sustainable Wastewater Treatment. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031468575
    Additional Edition: Printed edition: ISBN 9783031468599
    Additional Edition: Printed edition: ISBN 9783031468605
    Language: English
    DOI: 10.1007/978-3-031-46858-2
    URL: https://doi.org/10.1007/978-3-031-46858-2
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Essential Computer Science : A Programmer's Guide to Foundational Concepts (2021)
    Apress
    Details
    UID:
    kobvindex_ZLB34823846
    ISBN: 9781484271070
    Content: " Understand essential computer science concepts and skills. This book focuses on the foundational and fundamental concepts upon which expertise in specific areas can be developed, including computer architecture, programming language, algorithm and data structure, operating systems, computer networks, distributed systems, security, and more. According to code.org, there are 500,000 open programming positions available in the US— compared to an annual crop of just 50,000 graduating computer science majors. The US Department of Labor predicted that there will be almost a million and a half computer science jobs in the very near future, but only enough programmers to fill roughly one third of these jobs. To bridge the gap, many people not formally trained in computer science are employed in programming jobs. Although they are able to start programming and coding quickly, it often takes them time to acquire the necessary understanding to gain the requisite skills to become an efficient computer engineer or advanced developer.What You Will Learn The fundamentals of how a computer works The basics of computer programming and programming paradigms How to write efficient ,rograms How the hardware and software work together to provide a good user experience ,nd enhance the usability of the system How computers can talk to each other How to ensure the security of the system The fundamentals of cloud offerings, implications/trade-offs, and deployment/adoption configurations The fundamentals of machine learning Who This Book Is ForComputer programmers lacking a formal education in computer science, and anyone with a formal education in computer science, looking to develop a general understanding of computer science fundamentals "
    Language: English
    URL: https://img1.od-cdn.com/ImageType-200/7614-1/{9FAE2368-1651-469D-8F41-07C93CBA7C9E}Img200.jpg
    URL: https://img1.od-cdn.com/ImageType-150/7614-1/9FA/E23/68/{9FAE2368-1651-469D-8F41-07C93CBA7C9E}Img150.jpg
    URL: https://samples.overdrive.com/?crid=9fae2368-1651-469d-8f41-07c93cba7c9e&.epub-sample.overdrive.com
    URL: https://api.overdrive.com/v1/collections/v1L1BBQ0AAA2_/products/9fae2368-1651-469d-8f41-07c93cba7c9e/metadata
    URL: http://voebb.lib.overdrive.com/ContentDetails.htm?ID=9FAE2368-1651-469D-8F41-07C93CBA7C9E
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  • 10
    Book
    Book
    Essential computer science : a programmer's guide to foundational concepts (2021)
    New York : Apress
    Details
    UID:
    kobvindex_ZLB34710494
    Format: 290 Seiten , Illustrationen , 23,5 cm
    ISBN: 9781484271063
    Content: Understand essential computer science concepts and skills. This book focuses on the foundational and fundamental concepts upon which expertise in specific areas can be developed, including computer architecture, programming language, algorithm and data structure, operating systems, computer networks, distributed systems, security, and more. According to code.org, there are 500,000 open programming positions available in the US- compared to an annual crop of just 50,000 graduating computer science majors. The US Department of Labor predicted that there will be almost a million and a half computer science jobs in the very near future, but only enough programmers to fill roughly one third of these jobs. To bridge the gap, many people not formally trained in computer science are employed in programming jobs. Although they are able to start programming and coding quickly, it often takes them time to acquire the necessary understanding to gain the requisite skills to become an efficient computer engineer or advanced developer. What You Will Learn: The fundamentals of how a computer works. The basics of computer programming and programming paradigms. How to write efficient programs. How the hardware and software work together to provide a good user experience and enhance the usability of the system. How computers can talk to each other. How to ensure the security of the system. The fundamentals of cloud offerings, implications/trade-offs, and deployment/adoption configurations. The fundamentals of machine learning. Who This Book Is For: Computer programmers lacking a formal education in computer science, and anyone with a formal education in computer science, looking to develop a general understanding of computer science fundamentals
    Note: Englisch
    Language: English
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