Search Results - Abakasanga, Emeka

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  1. 1
    Nature and Prevalence of Long-Term Conditions in People With Intellectual Disability, a Study That Combines the Powers of AI, Big Data and Lived experience

    Nature and Prevalence of Long-Term Conditions in People With Intellectual Disability, a Study That Combines the Powers of AI, Big Data and Lived experience by Lewin, Gemma, Kousovista, Rania, Abakasanga, Emeka, Shivamurthy, Rishika, Cosma, Georgina

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  2. 2
    On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes

    On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes by Abakasanga, Emeka, Shlezinger, Nir, Dabora, Ron

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  3. 3
    On the Capacity of Communication Channels with Memory and Sampled Additive Cyclostationary Gaussian Noise

    On the Capacity of Communication Channels with Memory and Sampled Additive Cyclostationary Gaussian Noise by Dabora, Ron, Abakasanga, Emeka

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  4. 4
    Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks

    Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks by Abakasanga, Emeka, Shlezinger, Nir, Dabora, Ron

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  5. 5
    The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise

    The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise by Shlezinger, Nir, Abakasanga, Emeka, Dabora, Ron, Eldar, Yonina C.

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  6. 6
    Nature and prevalence of long-term conditions in people with intellectual disability: a study that combines the powers of AI, big data and lived experience [Abstract]

    Nature and prevalence of long-term conditions in people with intellectual disability: a study that combines the powers of AI, big data and lived experience [Abstract] by Gemma Lewin, Rania Kousovista, Emeka Abakasanga, Rishika Shivamurthy, Georgina Cosma

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  7. 7
    On the Capacity of Communication Channels with Memory and Sampled Additive Cyclostationary Gaussian Noise: Full Version with Detailed Proofs

    On the Capacity of Communication Channels with Memory and Sampled Additive Cyclostationary Gaussian Noise: Full Version with Detailed Proofs by Dabora, Ron, Abakasanga, Emeka

    Published in arXiv.org
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  8. 8
    The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes

    The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes by Abakasanga, Emeka, Shlezinger, Nir, Dabora, Ron

    Published in arXiv.org
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  9. 9
    Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks

    Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks by Abakasanga, Emeka, Shlezinger, Nir, Dabora, Ron

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  10. 10
    Temporal Patterns of Multiple Long-Term Conditions in Individuals with Intellectual Disability Living in Wales: An Unsupervised Clustering Approach to Disease Trajectories

    Temporal Patterns of Multiple Long-Term Conditions in Individuals with Intellectual Disability Living in Wales: An Unsupervised Clustering Approach to Disease Trajectories by Kousovista, Rania, Cosma, Georgina, Abakasanga, Emeka, Akbari, Ashley, Zaccardi, Francesco, Gyuchan Thomas Jun, Kiani, Reza, Gangadharan, Satheesh

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  11. 11
    On the Capacity of Sampled Interference-Limited Communications Channels

    On the Capacity of Sampled Interference-Limited Communications Channels by Shlezinger, Nir, Abakasanga, Emeka, Dabora, Ron, Eldar, Yonina C.

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  12. 12
    Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning

    Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning by Abakasanga, Emeka, Kousovista, Rania, Cosma, Georgina, Akbari, Ashley, Zaccardi, Francesco, Kaur, Navjot, Fitt, Danielle, Gyuchan Thomas Jun, Kiani, Reza, Gangadharan, Satheesh

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  13. 13
    The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise

    The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise by Shlezinger, Nir, Abakasanga, Emeka, Dabora, Ron, Eldar, Yonina C

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