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  • 1
    ISBN: 9783031072970
    Language: English
    Pages: 1 Online-Ressource(X, 184 p. 64 illus., 51 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: EAI/Springer Innovations in Communication and Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Data mining. ; Engineering—Data processing.
    Abstract: Introduction -- Testing Fundamentals -- Strategies and Methods For Test Cases -- Automated Testing Levels -- Polices and Plans for Testing -- Test Organization -- Controlling and Monitoring Testing Process -- Evaluating Automated Software Quality -- Defect Analysis and Prevention -- Optimization -- Security Testing -- Conclusion.
    Abstract: This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. · .
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Academic Press | Boston, MA : Safari
    ISBN: 9780128173572
    Language: English
    Pages: 1 online resource (379 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT
    Note: Online resource; Title from title page (viewed June 14, 2019)
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  • 3
    ISBN: 9789819959945
    Language: English
    Pages: 1 Online-Ressource(XII, 394 p. 175 illus., 137 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Electrical Engineering 1080
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Quantitative research. ; Telecommunication.
    Abstract: Decision Intelligence & Data Science -- AI For Decision Making -- AI For Decision Making -- AI For Decision Making.
    Abstract: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.
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