most citedVariational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2024

Using Process Mining to Improve Digital Service Delivery

Jacques Trottier, William Van Woensel, Xiaoyang Wang +3

We present a case study of Process Mining (PM) for personnel security screening in the Canadian government. We consider customer (process time) and organizational (cost) perspectiv…

cs.CV2024

Coordinate-Aware Thermal Infrared Tracking Via Natural Language Modeling

Miao Yan, Ping Zhang, Haofei Zhang +4

Thermal infrared (TIR) tracking is pivotal in computer vision tasks due to its all-weather imaging capability. Traditional tracking methods predominantly rely on hand-crafted featu…

cs.NI2024

xApp Distillation: AI-based Conflict Mitigation in B5G O-RAN

Hakan Erdol, Xiaoyang Wang, Robert Piechocki +2

The advancements of machine learning-based (ML) decision-making algorithms created various research and industrial opportunities. One of these areas is ML-based near-real-time netw…

cs.NI2022

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning

Peizheng Li, Hakan Erdol, Keith Briggs +7

Setting the transmit power setting of 5G cells has been a long-term topic of discussion, as optimized power settings can help reduce interference and improve the quality of service…

cs.NI20221 cited

Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model

Peizheng Li, Xiaoyang Wang, Robert Piechocki +3

Measuring customer experience on mobile data is of utmost importance for global mobile operators. The reference signal received power (RSRP) is one of the important indicators for…