73 citations · 249 across the 20 of their papers we have counts for
10 papers · 1 filter
Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis
A methodology is proposed, which addresses the caveat that line-of-sight emission spectroscopy presents in that it cannot provide spatially resolved temperature measurements in non…
Flame-state monitoring based on very low number of visible or infrared images via few-shot learning
Ruiyuan Kang, Panos Liatsis, Dimitrios C. Kyritsis
The current success of machine learning on image-based combustion monitoring is based on massive data, which is costly even impossible for industrial applications. To address this…
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis
Physics-based inverse modeling techniques are typically restricted to particular research fields, whereas popular machine-learning-based ones are too data-dependent to guarantee th…
k-MS: A novel clustering algorithm based on morphological reconstruction
É. O. Rodrigues, L. Torok, P. Liatsis +2
This work proposes a clusterization algorithm called k-Morphological Sets (k-MS), based on morphological reconstruction and heuristics. k-MS is faster than the CPU-parallel k-Means…
Automated recognition of the pericardium contour on processed CT images using genetic algorithms
E. O. Rodrigues, L. O. Rodrigues, L. S. N. Oliveira +2
This work proposes the use of Genetic Algorithms (GA) in tracing and recognizing the pericardium contour of the human heart using Computed Tomography (CT) images. We assume that ea…
Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes
É. O. Rodrigues, V. H. A. Pinheiro, P. Liatsis +1
We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed tomography images using regression algorithms. The obtained results indicate that…
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…
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger, Moritz Neun, Henry Martin +34
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggrega…
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…