Shahnawaz Alam (86 results)

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2011 in the subject Computer Science - IT-Security, grade: '-', Royal Holloway, University of London, course: Information Security, language: English, abstract: Web-Application have been widely accepted by the organization be it in private, public or government sector and form the main part of any e-commerce business on the internet.However with the widespread of web-application, the threats related to the web-application have also emerged. Web-application transmit substantial amount of critical data such as password or credit card information etc and this data should be protected from an attacker.There has been huge number of attacks on the web-application such as 'SQL Injection', 'Cross-Site Scripting', 'Http Response Splitting' in recent years and it is one of the main concerns in both the software developer and security professional community.This projects aims to explore how security can be incorporated by using security pattern in web-application and how effective it is in addressing the security problems of web-application.…

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Taschenbuch. Condition: Neu. Using Security Patterns in Web-Application | Shahnawaz Alam | Taschenbuch | 72 S. | Englisch | 2014 | Anchor Academic Publishing | EAN 9783954892662 | Verantwortliche Person für die EU: Bedey & Thoms Media GmbH, Björn Bedey, Hermannstal 119k, 22119 Hamburg, info[at]diplom[dot]de | Anbieter: preigu. …

Paperback. Condition: Brand New. 244 pages. 6.14x0.57x9.21 inches. In Stock.

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Condition: New. Kamal Upreti is currently working as an Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed his B. Tech (Hons) Degree from UPTU, M. Tech (Gold Medalist), PGDM(Executive.

Taschenbuch. Condition: Neu. Neuware - The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.This book: - Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability - Highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers - Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation - Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints - Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems - Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies This volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.…

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Hardback. Condition: New. The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.This book:Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainabilityHighlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakersDiscusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocationLays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraintsCovers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problemsIncludes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategiesThis volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.…

Hardcover. Condition: Brand New. 1st edition. 244 pages. 9.25x6.00x0.75 inches. In Stock.