Emeka Abakasanga

15 papers B 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning.
Frontiers Digit. Health
Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2025 J jnl
Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectories.
Frontiers Digit. Health
Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024 — conf
Cluster and Trajectory Analysis of Multiple Long-Term Conditions in Adults with Learning Disabilities.
AIiH (2)
Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024 J jnl
Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning.
CoRR
Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024 — conf
Identifying Clusters on Multiple Long-Term Conditions for Adults with Learning Disabilities.
AIiH (1)
Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024 J jnl
Temporal Patterns of Multiple Long-Term Conditions in Individuals with Intellectual Disability Living in Wales: An Unsupervised Clustering Approach to Disease Trajectories.
CoRR
Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2023 J jnl
On the Capacity of Communication Channels With Memory and Sampled Additive Cyclostationary Gaussian Noise.
IEEE Trans. Inf. Theory
Ron Dabora, Emeka Abakasanga
2023 J jnl
On the Capacity of Communication Channels with Memory and Sampled Additive Cyclostationary Gaussian Noise: Full Version with Detailed Proofs.
CoRR
Ron Dabora, Emeka Abakasanga
2023 J jnl
Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks.
IEEE Trans. Veh. Technol.
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2022 J jnl
Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks.
CoRR
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2020 J jnl
On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes.
Entropy
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2020 J jnl
The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise.
IEEE Trans. Commun.
Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar
2020 J jnl
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes.
CoRR
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
2019 B conf
On the Capacity of Sampled Interference-Limited Communications Channels.
ISIT
Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar
2019 J jnl
The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise.
CoRR
Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar