no code implementations • 22 Apr 2023 • Ruiyuan Kang, Dimitrios Kyritsis, Panos Liatsis
To improve optimization efficiency and convergence, the most important metrics in the context of this research, we follow a three-faceted approach based on the error from the validation process.
no code implementations • 15 Dec 2022 • Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis
The aim of this research is to explore the use of data-driven models in measuring temperature distributions in a spatially resolved manner using emission spectroscopy data.
no code implementations • 14 Oct 2022 • Ruiyuan Kang, Panos Liatsis, Dimitrios C. Kyritsis
We analyzed the training process, test performance and inference speed of two algorithms on both image formats, and also used t-SNE to visualize learned features.
1 code implementation • 12 Oct 2022 • 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 the physical compatibility of the solution.
no code implementations • 2 Aug 2022 • Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis
In this work, we tackle the challenge of weather forecasting using a video transformer network.
1 code implementation • 31 Mar 2022 • Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David Kreil, Sepp Hochreiter
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 aggregated GPS probe data in time and space bins.
1 code implementation • 17 Jan 2022 • Alabi Bojesomo, Hasan Al Marzouqi, Panos Liatsis
Traffic forecasting is an important element of mobility management, an important key that drives the logistics industry.
1 code implementation • 7 Dec 2020 • Alabi Bojesomo, Panos Liatsis, Hasan Al Marzouqi
The sedenion output of the network is used to represent the multimodal traffic predictions.
no code implementations • 27 Sep 2020 • Wasiq Khan, Abir Hussain, Sohail Ahmed Khan, Mohammed Al-Jumailey, Raheel Nawaz, Panos Liatsis
Since the coronavirus disease (COVID-19) outbreak in December 2019, studies have been addressing diverse aspects in relation to COVID-19 and Variant of Concern 202012/01 (VOC 202012/01) such as potential symptoms and predictive tools.