1 code implementation • 6 Sep 2022 • Rushdi Zahid Rusho, Abdul Haseeb Ahmed, Stanley Kruger, Wahidul Alam, David Meyer, David Howard, Ingo Titze, Mathews Jacob, Sajan Goud Lingala
Implicit motion binning of the manifold scheme for both repetitive and fluent speaking tasks was demonstrated.
no code implementations • 21 Dec 2021 • David Meyer, Sue Grimmond, Peter Dueben, Robin Hogan, Maarten van Reeuwijk
Can we improve the modeling of urban land surface processes with machine learning (ML)?
no code implementations • 22 Mar 2021 • David Meyer, Robin J. Hogan, Peter D. Dueben, Shannon L. Mason
The treatment of cloud structure in numerical weather and climate models is often greatly simplified to make them computationally affordable.
1 code implementation • 16 Dec 2020 • David Meyer, Thomas Nagler, Robin J. Hogan
Can we improve machine-learning (ML) emulators with synthetic data?
2 code implementations • 17 Oct 2019 • Jacek Cyranka, Alexander Georges, David Meyer
We propose a classifier based on applying the Mapper algorithm to data projected onto a latent space.
no code implementations • 22 May 2019 • Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Our novel convGRU-CNN architecture results in the lowest mean absolute error of 1. 59 +- 1. 3 mN and a cross-correlation coefficient of 0. 9997, and clearly outperforms the other methods.
no code implementations • 30 May 2018 • Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer
Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy.
1 code implementation • 20 Jun 2016 • Albert Mestres, Alberto Rodriguez-Natal, Josep Carner, Pere Barlet-Ros, Eduard Alarcón, Marc Solé, Victor Muntés, David Meyer, Sharon Barkai, Mike J Hibbett, Giovani Estrada, Khaldun Ma`ruf, Florin Coras, Vina Ermagan, Hugo Latapie, Chris Cassar, John Evans, Fabio Maino, Jean Walrand, Albert Cabellos
In this paper, we explore the reasons for the lack of adoption and posit that the rise of two recent paradigms: Software-Defined Networking (SDN) and Network Analytics (NA), will facilitate the adoption of AI techniques in the context of network operation and control.
Networking and Internet Architecture