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    • TVS.005273_TT_(IEEE Press Series on Networks and Service Management) Jingguo Ge, Tong Li, Yulei Wu - AI and Machine Learning for Network and Security.pdf.jpg
    • Sách/Book

    • AI and machine learning for network and security management

      • Authors: Wu, Yulei (2023)

    • AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit.
    • TVS.006044_TT_Apoorva S Shastri (editor), Mangal Singh (editor), Anand J. Kulkarni (editor), Patrick Siarry (editor) - AI-Based Metaheuristics for Inf.pdf.jpg
    • Sách/Book

    • AI metaheuristics for information security in digital media

      • Authors: Shastri, Apoorva S (2023)

    • This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications.
    • TVS.005205_TT_Savo G. Glisic_ Beatriz Lorenzo - Artificial Intelligence and Quantum Computing for Advanced Wireless Networks-John Wiley & Sons (2022).pdf.jpg
    • Sách/Book

    • Artificial intelligence and quantum computing for advanced wireless networks

      • Authors: Glisic, Savo G (2022)

    • By increasing the density and number of different functionalities in wireless networks there is more and more need for the use of artificial intelligence for planning network deployment, running their optimization and dynamically controlling their operation. For example, machine learning algorithms are used for the prediction of traffic and network state in order to timely reserve resources for smooth communication with high reliability and low latency; Big data mining is used to predict customer behaviour and pre-distribute the information content across the network so that it can be efficiently delivered as soon as requested; Intelligent agents can search the internet on behalf of t...
    • TVS.006139_TT_Abraham, Ajith_Dash, Sujata_Pani, Subhendu Kumar_García-Hernández, Laura__ Sujata Dash_ Subhendu Kumar Pani_ Laura García-Hernández - Ar.pdf.jpg
    • Sách/Book

    • Artificial intelligence for neurological disorders

      • Authors: - (2022)

    • Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods.
    • TVS.005268_TT_(Artificial Intelligence and soft computing for industrial transformation) K. Umamaheswari, B. Vinoth Kumar, S.K. Somasundaram - Artifi.pdf.jpg
    • Sách/Book

    • Artificial Intelligence for Sustainable Applications

      • Authors: - (2023)

    • With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities
    • TVS.005065_TT_M.G. Sumithra, Rajesh Kumar Dhanaraj, Mariofanna Milanova, Balamurugan Balusamy, Chandran Venkatesan - Brain-Computer Interface. Using D.pdf.jpg
    • Sách/Book

    • Brain-Computer Interface: Using Deep Learning Applications

      • Authors: Balusamy, Balamurugan (2023)

    • The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world.
    • TVS.005433_TT_Elena Fersman, Paul Pettersson, Athanasios Karapantelakis - Confessions of an AI Brain-Springer (2023).pdf.jpg
    • Sách/Book

    • Confessions of an AI Brain

      • Authors: Fersman, Elena (2023)

    • The book is written as a first person narrative, from an AI perspective, having the AI brain tell the story.
    • TVS.005257_TT_Abdulrahman Yarali - From 5G to 6G_ Technologies, Architecture, AI, and Security-Wiley (2023).pdf.jpg
    • Sách/Book

    • From 5G to 6G : technologies, architecture, AI, and security

      • Authors: Yarali, Abdulrahman (2023)

    • The transition from the fifth generation of wireless communication (5G) to the coming sixth generation (6G) promises to be one of the most significant phases in the history of telecommunications. The technological, social, and logistical challenges promise to be significant, and meeting these challenges will determine the future of wireless communication. Experts and professionals across dozens of fields and industries are beginning to reckon seriously with these challenges as the 6G revolution approaches. From 5G to 6G provides an overview of this transition, offering a snapshot of a moment in which 5G is establishing itself and 6G draws ever nearer. It focuses on recent advances in ...
    • TVS.005057_TT_Elias G. Carayannis_ Evangelos Grigoroudis - Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship-Edward Elg.pdf.jpg
    • Sách/Book

    • Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship

      • Authors: Carayannis, Elias G (2023)

    • The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.
    • TVS.006030_TT_Patrick Hall, James Curtis, and Parul Pandey - Machine Learning for High-Risk Applications_ Techniques for Responsible AI (11th Early Re.pdf.jpg
    • Sách/Book

    • Machine Learning for High-Risk Applications: Approaches to Responsible AI

      • Authors: Hall, Patrick (2023)

    • This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.
    • TVS.005001_TT_(The Python Series) Stephen Lynch - Python for Scientific Computing and Artificial Intelligence-CRC Press (2023).pdf.jpg
    • Sách/Book

    • Python for scientific computation and artificial intelligence

      • Authors: Lynch, Stephen (2023)

    • This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required. Online GitHub repository available with codes for readers to practice. Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing. Full solutions to exercises are available as Jupyter notebooks on the Web"--
    • TVS.005276_TT_(Wiley and SAS Business Series) Terisa Roberts, Stephen J. Tonna - Risk Modeling_ Practical Applications of Artificial Intelligence, Mac.pdf.jpg
    • Sách/Book

    • Risk modeling : practical applications of artificial intelligence, machine learning, and deep learning

      • Authors: Roberts, Terisa (2022)

    • This book provides an overview and introduction to the application of artificial intelligence and machine learning in risk management. It will cover practical application of newer modelling techniques in risk management and explore what the opportunities are of using artificial intelligence and machine learning, as well as the risks and challenges associated with the innovation. In addition, it will explain the options to extend the model governance framework for artificial intelligence and machine learning