no code implementations • 19 Feb 2024 • Mohammed Alswaitti, Roberto Verdecchia, Grégoire Danoy, Pascal Bouvry, Johnatan Pecero
The substantial increase in AI model training has considerable environmental implications, mandating more energy-efficient and sustainable AI practices.
1 code implementation • 30 Dec 2023 • Jingjing Xu, Caesar Wu, Yuan-Fang Li, Pascal Bouvry
From the model perspective, one of the PCA-enhanced models: PCA+Crossformer, reduces mean square errors (MSE) by 33. 3% and decreases runtime by 49. 2% on average.
1 code implementation • 7 Dec 2023 • Manuel Combarro Simón, Pierre Talbot, Grégoire Danoy, Jedrzej Musial, Mohammed Alswaitti, Pascal Bouvry
More precisely, for this problem the input is an area of interest, several satellite images intersecting the area, a list of requirements relative to the image and the mosaic, such as cloud coverage percentage, image resolution, and a list of objectives to optimize.
no code implementations • 1 Jun 2023 • Caesar Wu, Yuan-Fang Lib, Pascal Bouvry
When making strategic decisions, we are often confronted with overwhelming information to process.
no code implementations • 19 Feb 2023 • Caesar Wu, Pascal Bouvry
The recent development of artificial intelligence enables a machine to achieve a human level of intelligence.
no code implementations • 22 Oct 2022 • Caesar Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal Bouvry
Strategic Decision-Making is always challenging because it is inherently uncertain, ambiguous, risky, and complex.
no code implementations • 18 Jul 2022 • Pierre Talbot, Frédéric Pinel, Pascal Bouvry
To solve this issue, we take a step back and contribute to a simple, intrinsically parallel, lock-free and formally correct programming language based on concurrent constraint programming.
no code implementations • 19 Oct 2021 • Loizos Koutsantonis, Tiago Carneiro, Emmanuel Kieffer, Frederic Pinel, Pascal Bouvry
In this work, we present the Deep Newton Reconstruction Network (DNR-Net), a hybrid data-driven reconstruction technique for emission tomography inspired by Newton's method, a well-known iterative optimization algorithm.
no code implementations • 24 Sep 2021 • Loizos Koutsantonis, Ayman Makki, Tiago Carneiro, Emmanuel Kieffer, Pascal Bouvry
Photon attenuation and scatter are the two main physical factors affecting the diagnostic quality of SPECT in its applications in brain imaging.
no code implementations • 1 Mar 2019 • Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung
A novel class of extreme link-flooding DDoS (Distributed Denial of Service) attacks is designed to cut off entire geographical areas such as cities and even countries from the Internet by simultaneously targeting a selected set of network links.
no code implementations • 30 Apr 2013 • Jianguo Ding, Pascal Bouvry
Due to the complexity of emerging networks, it is not always possible to build precise models in modeling and optimization (local and global) for networks.