Showing 301–312 of 1331 results

  • Big Data Privacy in Biomedical Research

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    Enhancing Mobile Networks With Software Defined Networking and Cloud Computing Abstract– Biomedical research often involves study i n g patient data that contain personal i n formation.In appropriate use of these data might lead to leakage of sensitive information, which can put patient privacy at risk . The problem of preserving patient privacy has received…

  • Big Health Application System based on Health Internet of Things and Big Data

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    Big Health Application System based on Health Internet of Things and Big Data Abstract-In the first place, the world is facing problems such as uneven distribution of medical resources, the growing chronic diseases, and the increasing medical expenses. In reality, Blending the latest information technology into the healthcare system will greatly mitigate the problems. First…

  • Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems

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    Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems Abstract-Among the applications of the internetand cloud computing, online social network (OSN) is a very popular service. Since a lot of personal information is stored on the OSN platform, privacy protection on such an application has become a critical issue.Apart from this, OSN platforms…

  • Bit Error Floor of MPSK in the Presence of Phase Error

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    5,500

    Bit Error Floor of MPSK in the Presence of Phase Error Abstract?In mobile communication systems, one of the most significant factors of the bit-error-rate (BER) performance degradation of M-ary phase-shift keying (MPSK) is random phase error caused by phase-locked loop (PLL) or imperfect channel estimation. For high-signal-to-noisepower- ratio (SNR) regions, the effect of random phase…

  • Bit-Interleaving-Enabled 8T SRAM With Shared Data-Aware Write and Reference-Based Sense Amplifier

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    5,500

    Bit-Interleaving-Enabled 8T SRAM With Shared Data-Aware Write and Reference-Based Sense Amplifier Abstract? The design of a low-voltage static random access memory (SRAM) for biomedical chip applications. The SRAM is designed using a standard 8T bit cell, featuring a shared data-aware write scheme and a differential reference-based sense amplifier. The proposed techniques make it possible for…

  • BIT: Bio-inspired tracker

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    5,500

    BIT: Bio-inspired tracker Abstract? Visual tracking is a challenging problem due to various factors such as deformation, rotation and illumination. As is well known, given the superior tracking performance of human vision, bio-inspired model is expected to improve the computer visual tracking. However, the design of bio-inspired tracking framework is challenging, due to the incomplete…

  • Block Design-based Key Agreement for Group Data Sharing in Cloud Computing

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    4,500

    Block Design-based Key Agreement for Group Data Shar ing in Cloud Computing Abstract-Data sharing in cloud computing enables multiple participants to freely share the group data, which improves the efficiency of work in cooperative environments and has widespread potential applications. However, how to ensure the security of data sharing within a group and how to…

  • Boosting 3D LBP-Based Face Recognition by Fusing Shape and Texture Descriptors on the Mesh

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    Boosting 3D LBP-Based Face Recognition by Fusing Shape and Texture Descriptors on the Mesh Abstract? A novel approach for fusing shape and texture local binary patterns (LBPs) on a mesh for 3D face recognition. Using a recently proposed framework, we compute LBP directly on the face mesh surface, then we construct a grid of the…

  • Botnet Detection based on Anomaly and Community Detection

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    5,500

    Botnet Detection based on Anomaly and Community Detection Abstract? A novel two-stage approach for the important cyber-security problem of detecting the presence of a botnet and identifying the compromised nodes (the bots), ideally before the botnet becomes active. The first stage detects anomalies by leveraging large deviations of an empirical distribution. We propose two approaches…

  • Botnet Detection based on Anomaly and Community Detection

    0 out of 5
    5,500

    Botnet Detection based on Anomaly and Community Detection Abstract? A novel two-stage approach for the important cyber-security problem of detecting the presence of a botnet and identifying the compromised nodes (the bots), ideally before the botnet becomes active. The first stage detects anomalies by leveraging large deviations of an empirical distribution. We propose two approaches…

  • Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network

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    5,500

    Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network Abstract? A generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the electroencephalography (EEG) regression problem in brain dynamics for driving fatigue. < final year projects > [numbers_sections number=”1″ title=”Including…

  • Brain Metastases Detection Methods in Magnetic Resonance Imaging

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    5,500

    Brain Metastases Detection Methods in Magnetic Resonance Imaging Abstract? Early detection of brain metastases increases survival in patients with cancer, since image-guided radiosurgery is the most widely used treatment. As support for the qualitative diagnosis made by radiologists, Computer Assisted Diagnosis provides a quantitative and reproducible analysis. This article reviews the methods for an automatic…

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