Scalable beamforming design (SBD) is an effective way to improve the computation
efficiency of downlink communications. To this end, this paper proposes a scalable …

Joint access point (AP) clustering and beamforming design is an effective way to improve
system performance and reduce signaling overhead for cell-free networks. However …

In this paper, we consider robust joint access point (AP) clustering and beamforming design
with imperfect channel state information (CSI) in cell-free systems. Specifically, we jointly …

Image segmentation with deep learning models has significantly improved the accuracy of
the pixel-wise labeling of scientific imaging which is critical for many quantitative image …

Traffic congestion is an increasing challenge in almost all parts of the globe. In the US alone,
over $300 B is incurred due to overcrowding. Existing work in the field of “Network Traffic …

Traffic jam detection and density estimation of aerial images have been widely utilized in
various scenarios, such as vehicle routing and city management. Rather than directly …

Traffic congestion is a critical issue not only in all major cities but also in many rural areas of
India. One of the most dangerous side effects of traffic congestion is the unnecessary delay …

Scientific project «The Strategy for Artificial Intelligence Development in Ukraine» is a state-
level document of national importance, which identifies research priority areas (basic …