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    An Analysis of Motion Smoothness in Video Object Detection 

    Gasmallah, Mohammed
    Machine learning in computer vision has become an invaluable aspect of research on object detection and object tracking. While advancements in current research aim to improve the matching of predictions with ground truth ...
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    Modelling motor cortex using neural network control laws 

    Lillicrap, Timothy Paul (2014-01-31)
    The ease with which our brains learn to control our bodies belies intricate neural processing which remains poorly understood. We know that a network of brain regions work together in a carefully coordinated fashion to ...
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    Robust Predictive Resource Allocation for Video Delivery Over Future Wireless Networks 

    Atawia, Ramy
    The promising energy saving and quality of service (QoS) gains of Predictive Resource Allocation (PRA) for video streaming have recently been recognized in the wireless network research community. The PRA relies on future ...
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    Combining Biomarkers and Clinicopathologic Factors for Prediction of Response to Adjuvant Chemotherapy for Breast Cancer: Cox Model and Support Vector Machine (SVM) Methods 

    Liu, Xudong (2010-04-27)
    Background: Breast cancer is a complex disease, both phenotypically and etiologically. Accordingly, the responses to various treatments in the adjuvant setting among individuals vary considerably. There is a demand for ...
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    A Modified Genetic Algorithm and Switch-Based Neural Network Model Applied to Misuse-Based Intrusion Detection 

    Stewart, Ian (2009-03-17)
    As our reliance on the Internet continues to grow, the need for secure, reliable networks also increases. Using a modified genetic algorithm and a switch-based neural network model, this thesis outlines the creation of a ...
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    Mining Unstructured Software Repositories Using IR Models 

    Thomas, Stephen (2012-12-12)
    Mining Software Repositories, which is the process of analyzing the data related to software development practices, is an emerging field which aims to aid development teams in their day to day tasks. However, data in many ...
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    Self-supervised ECG Representation Learning for Affective Computing 

    Sarkar, Pritam
    This work investigates the use of self-supervised learning for ECG-based affective computing. We propose a novel self-supervised ECG representation learning framework to address the limitations of fully-supervised learning. ...
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    Theoretical and Practical Considerations of Learning Algorithms in Image-guided Interventions 

    Sedghi, Alireza
    Image-guided Interventions (IGI) have revolutionized medical practice and improved the quality of life for patients by enabling less invasive surgeries and treatments. Recent advancements in computing power and learning ...
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    Deep Learning for Legal and Medical Text Analytics 

    Lam, Jason
    Applications of deep learning using text have shown wide success in detecting human emotions, analyzing social media feeds, classifying text and creating compressed representations. While deep learning has been widely ...
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    Analysis of the Utilization of Mobile Network Base Stations Using Traffic Load Predictions 

    Mahdy, Basma
    Every day, mobile network traffic is increasing in an unprecedented manner all over the world, resulting in growing demand from the network operators to deploy more base stations in order to be able to serve more devices ...
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    AuthorAli, Asmaa (1)Alkhresheh, Ashraf (1)Aloise, Chris (1)Atawia, Ramy (1)Chan, Brandon (1)Chen, Brian (1)Choi, Jihoon (1)Davari, Maryam (1)Elhoushi, Mostafa (1)Elwakeel, Amr (1)... View MoreSubject
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    Deep Learning (12)Breast Cancer (4)Computer Vision (3)Data Mining (3)Genetic Algorithm (3)Mass Spectrometry (3)Neural Networks (3)AI (2)Artificial Intelligence (2)... View MoreDate Published2020 - 2022 (31)2010 - 2019 (17)2009 - 2009 (2)

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