27 citations · 41 across the 8 of their papers we have counts for
5 papers · 1 filter
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting
Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis
Earth Observatory is a growing research area that can capitalize on the powers of AI for short time forecasting, a Now-casting scenario. In this work, we tackle the challenge of we…
Multi-Label Retinal Disease Classification using Transformers
M. A. Rodriguez, H. AlMarzouqi, P. Liatsis
Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. In this research, a novel multi-label classificatio…
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting
Lyes Saad Saoud, Hasan AlMarzouqi, Ramy Hussein
Sustainability requires increased energy efficiency with minimal waste. The future power systems should thus provide high levels of flexibility iin controling energy consumption. P…
Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers
Hasan AlMarzouqi, Lyes Saad Saoud
Semantic segmentation necessitates approaches that learn high-level characteristics while dealing with enormous amounts of data. Convolutional neural networks (CNNs) can learn uniq…
SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers
Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis
Traffic forecasting is an important element of mobility management, an important key that drives the logistics industry. Over the years, lots of work have been done in Traffic fore…