Senbagavalli (38 results)

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Taschenbuch. Condition: Neu. The Status of the Complement System in Pulmonary Tuberculosis | Complement System and Pulmonary Tuberculosis | Senbagavalli Prakash Babu | Taschenbuch | 212 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846595527 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Neuware -Mycobacterium tuberculosis is one of the most ubiquitous pathogens in the world: estimates are that roughly one third of the world¿s population is infected with the bacillus and it is responsible for 8 to 12 million cases of active TB each year and 3 million deaths. The global resurgence of TB has made it imperative that improved vaccines, diagnostics and drugs be devised to control the current epidemic, which needs the proper understanding of the disease pathogenesis and the host immune response against TB.The complement system is an important part of the host immune system. Complement components and their activated fragments generally serve to amplify the effects of the interaction of antigen with antibody. There is paucity of information regarding the role played by the complement system in pulmonary tuberculosis. This work is aimed to know the status of the complement system in pulmonary tuberculosis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 212 pp. Englisch.

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

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Hardcover. Condition: new. Hardcover. Cloud Computing in Smart Energy Meter Management equips you with essential insights and practical solutions for effectively managing smart meter data through cutting-edge technologies like artificial intelligence and cloud computing, making it an invaluable resource for anyone looking to enhance their understanding of modern energy management. Cloud Computing in Smart Energy Meter Management presents a structured review of the current research on smart energy meters with artificial intelligence and cloud computing solutions. This book will help provide solutions for processing and analyzing the massive amounts of data involved in smart meters through cloud computing. Readers will learn about data storage, processing, and dynamic pricing of smart energy data in the cloud, as well as smart metering concepts dealing with the flow of power consumption from consumer to utility center. It offers an in-depth explanation of advanced metering infrastructure (AMI) which includes meter installation, meter advising, commissioning, integration, master data synchronization, billing, customer interface, complaints, and resolution. In smart cities, components in household energy meters are fitted with sensors and can interconnect with the Internet of Things to measure power consumption with an automated meter reading. This book also acts as a new resource describing new technologies involved in the integration of smart metering with existing cellular networks. Cloud Computing in Smart Energy Meter Management provides knowledge on the vital role played by artificial intelligence and cloud computing in smart energy meter reading with precise evaluations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condition: new. Hardcover. Cloud Computing in Smart Energy Meter Management equips you with essential insights and practical solutions for effectively managing smart meter data through cutting-edge technologies like artificial intelligence and cloud computing, making it an invaluable resource for anyone looking to enhance their understanding of modern energy management. Cloud Computing in Smart Energy Meter Management presents a structured review of the current research on smart energy meters with artificial intelligence and cloud computing solutions. This book will help provide solutions for processing and analyzing the massive amounts of data involved in smart meters through cloud computing. Readers will learn about data storage, processing, and dynamic pricing of smart energy data in the cloud, as well as smart metering concepts dealing with the flow of power consumption from consumer to utility center. It offers an in-depth explanation of advanced metering infrastructure (AMI) which includes meter installation, meter advising, commissioning, integration, master data synchronization, billing, customer interface, complaints, and resolution. In smart cities, components in household energy meters are fitted with sensors and can interconnect with the Internet of Things to measure power consumption with an automated meter reading. This book also acts as a new resource describing new technologies involved in the integration of smart metering with existing cellular networks. Cloud Computing in Smart Energy Meter Management provides knowledge on the vital role played by artificial intelligence and cloud computing in smart energy meter reading with precise evaluations. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Condition: New. KlappentextDigital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analyti.

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Hardcover. Condition: Brand New. 350 pages. 7.87x10.24x0.13 inches. In Stock.

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Hardcover. Condition: new. Hardcover. Cloud Computing in Smart Energy Meter Management equips you with essential insights and practical solutions for effectively managing smart meter data through cutting-edge technologies like artificial intelligence and cloud computing, making it an invaluable resource for anyone looking to enhance their understanding of modern energy management. Cloud Computing in Smart Energy Meter Management presents a structured review of the current research on smart energy meters with artificial intelligence and cloud computing solutions. This book will help provide solutions for processing and analyzing the massive amounts of data involved in smart meters through cloud computing. Readers will learn about data storage, processing, and dynamic pricing of smart energy data in the cloud, as well as smart metering concepts dealing with the flow of power consumption from consumer to utility center. It offers an in-depth explanation of advanced metering infrastructure (AMI) which includes meter installation, meter advising, commissioning, integration, master data synchronization, billing, customer interface, complaints, and resolution. In smart cities, components in household energy meters are fitted with sensors and can interconnect with the Internet of Things to measure power consumption with an automated meter reading. This book also acts as a new resource describing new technologies involved in the integration of smart metering with existing cellular networks. Cloud Computing in Smart Energy Meter Management provides knowledge on the vital role played by artificial intelligence and cloud computing in smart energy meter reading with precise evaluations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condition: Neu. Convergence of Deep Learning and Internet of Things | Computing and Technology | T. Kavitha (u. a.) | Buch | Gebunden | Englisch | 2022 | IGI Global | EAN 9781668462751 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mycobacterium tuberculosis is one of the most ubiquitous pathogens in the world: estimates are that roughly one third of the world s population is infected with the bacillus and it is responsible for 8 to 12 million cases of active TB each year and 3 million deaths. The global resurgence of TB has made it imperative that improved vaccines, diagnostics and drugs be devised to control the current epidemic, which needs the proper understanding of the disease pathogenesis and the host immune response against TB.The complement system is an important part of the host immune system. Complement components and their activated fragments generally serve to amplify the effects of the interaction of antigen with antibody. There is paucity of information regarding the role played by the complement system in pulmonary tuberculosis. This work is aimed to know the status of the complement system in pulmonary tuberculosis. 212 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Prakash Babu SenbagavalliDr. Senbagavalli Prakash Babu has obtained her Ph.D. degree in Medical Biochemistry-Clinical pathology in 2007. Since then she has been working in various immunological aspects of Infectious and Parasitic dis.