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    Predicting the threat of death in stalking cases through Artificial Neural Network 

    Icardi, Simone (2020-10-01)
    Stalking is a complex phenomenon that needs to be explained through several frameworks of research. During the years, scientists from the psychological, criminological, psychological, and legal fields made important steps ...
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    The World Trade Web: using network analysis and machine learning as tools for public policy decision-making 

    Lozano, Miguel (2020-11-01)
    The World Trade Web (WTW) contains a wealth of information that upon rigorous analysis can aid governments in public policy decision-making. In my attempt to provide this valuable input, this dissertation uses two main ...
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    Predictive analytics for maintenance activities in nuclear power plants: a feasibility study 

    Khurmi, Rajinder (2021-12-01)
    Nuclear power plants are known for their use of legacy systems and processes. As plants age, the amount of maintenance increases while resources remain finite, leading to unwanted delays, affecting the health of assets and ...
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    Polymorphic Adversarial DDoS attack on IDS using GAN 

    Chauhan, Ravi (2020-12-01)
    IDS are essential components in preventing malicious traffic from penetrating networks. IDS have been rapidly enhancing their detection ability using ML algorithms. As a result, attackers look for new methods to evade the ...
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    Automatic fall risk detection based on imbalanced data 

    Liu, Yen-Hung (Kevin) (2021-08-01)
    In recent years, the declining birthrate and ageing population have gradually brought countries into an ageing society. In regards to the accidents that occur amongst the elderly, falls are an important problem that quickly ...
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    Application-specific transfer learning over edge networks 

    Saggu, Deepak (2021-11-01)
    Transfer learning uses a profound labeled set of data from the source domain to deal with a similar problem for the target domain. Transfer learning provides accurate decision- making when insufficient data samples are ...
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    On deep learning in physics 

    Mills, Kyle (2021-04-01)
    Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
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    A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration 

    Kim, Chris (2021-07-01)
    Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ...
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    Design and development of a novel anthropomorphic finger with pneumatic tactile sensing 

    Levins, Matthew D. (2020-04-01)
    The human hand is a tool that we rely on to conduct a vast variety of tasks, from cracking eggs to lifting boxes. Meanwhile, in an industrial setting, different tools are needed to complete specific tasks. Picking up a box ...
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    Design and development of an interactive autonomous monitoring and surveillance drone 

    Li, Yunze (2020-04-01)
    This thesis describes the design and development of the novel autonomous UAV that has powerful GPU unit and potential sensing capability. It can run ROS (Robot Operating System) and compatible with packages developed under ...
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    AuthorChauhan, Ravi (1)Couture, Jonathan (1)Desousa, Kevin A. (1)Gangolli, Aakash Anil (1)Gholami, Amirhossein (1)Icardi, Simone (1)Khurmi, Rajinder (1)Kim, Chris (1)Levins, Matthew D. (1)Li, Yunze (1)... View MoreSubject
    Machine learning (16)
    Transfer learning (3)Adversarial attacks (1)Anomaly detection (1)Artificial intelligence (1)Artificial Neural Network (1)Attack detection (1)Chrome extension (1)Classification and regression (1)Collaborative (1)... View MoreDate Issued2021 (6)2020 (5)2022 (5)Has File(s)Yes (16)

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