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    Browsing by Subject Computer networks

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    • TVS.005119_TT_Fei Hu, Xiali Hei - AI, Machine Learning and Deep Learning_ A Security Perspective-CRC Press (2023).pdf.jpg
    • Sách/Book

    • AI, machine learning and deep learning : a security perspective

      • Authors: Hu, Fei (2023)

    • Today Artificial Intelligence (AI) and Machine/Deep Learning (ML/DL) have become the hottest areas in the information technology. In our society, there are so many intelligent devices that rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms/tools have used in many Internet applications and electronic devices, they are also vulnerable to various attacks and threats. The AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, and many other attacks/threats. Those attacks make the AI products dangerous to use
    • TVS.005106_TT_(The Elsevier And Miccai Society Book Series) Haofu Liao, S. Kevin Zhou, Jiebo Luo - Deep Network Design for Medical Image Computing. Pr.pdf.jpg
    • Sách/Book

    • Deep network design for medical image computing : principles and applications

      • Authors: Liao, Haofu (2022)

    • Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc.
    • TVS.005101_TT_Ting He, Liang Ma, Ananthram Swami, Don Towsley - Network Tomography_ Identifiability, Measurement Design, and Network State Inference-C.pdf.jpg
    • Sách/Book

    • Network Tomography: Identifiability, Measurement Design, and Network State Inference

      • Authors: He, Ting (2021)

    • It describes the main types of mathematical problems, along with their solutions and properties, and emphasizes the actions that can be taken to improve the accuracy of network tomography. With proofs and derivations introduced in an accessible language for easy understanding, this is an essential resource for professional engineers, academic researchers, and graduate students in network management and network science.
    • TVS.005102_TT_Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Lalit Garg - Research Advances in Network Technologies-CRC Press (2023).pdf.jpg
    • Sách/Book

    • Research advances in network technologies

      • Authors: Verma, Anshul (2023)

    • In current digital era, information is an important asset for our daily life as well as for small and large-scale businesses. The network technologies are the main enablers that connect the computing devices and resources together to collect, process and share the vital information locally as well as globally. The network technologies provide efficient, flexible and seamless communication while maximizing productivity and resources for our day-to-day life and business operations