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6 papers · 1 filter
Deep Learning-Aided Perturbation Model-Based Fiber Nonlinearity Compensation
Shenghang Luo, Sunish Kumar Orappanpara Soman, Lutz Lampe +1
Fiber nonlinearity effects cap achievable rates and ranges in long-haul optical fiber communication links. Conventional nonlinearity compensation methods, such as perturbation theo…
Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset
M. L. Menezes, A. Samara, L. Galway +5
One of the challenges in virtual environments is the difficulty users have in interacting with these increasingly complex systems. Ultimately, endowing machines with the ability to…
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models
Jose M. Sanchez-Bornot, Roberto C. Sotero, Scott Kelso +1
State-space models are widely employed across various research disciplines to study unobserved dynamics. Conventional estimation techniques, such as Kalman filtering and expectatio…
Generation and delivery of free hydroxyl radicals using a remote plasma
Harold McQuaid, David Rutherford, Davide Mariotti +1
We demonstrate a new gas-based OH generation source using a low power RF-driven atmospheric pressure plasma configured to deliver the radical flux into the far effluent region, wel…
Trust2Vec: Large-Scale IoT Trust Management System based on Signed Network Embeddings
Sahraoui Dhelim, Nyothiri Aung, Tahar Kechadi +3
A trust management system (TMS) is an integral component of any IoT network. A reliable trust management system must guarantee the network security, data integrity, and act as a re…
Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review
Sahraoui Dhelim, Liming Chen, Huansheng Ning +1
Death by suicide is the seventh leading death cause worldwide. The recent advancement in Artificial Intelligence (AI), specifically AI applications in image and voice processing, h…