Zobrazeno 1 - 10
of 20 599
pro vyhledávání: '"Tino A."'
Autor:
Tino A. Deng, Lilly C. Bebora, Mahacla O. Odongo, Gerald M. Muchemi, Samuel Karuki, Peter K. Gathumi
Publikováno v:
Veterinary Medicine International, Vol 2024 (2024)
Bacterial antimicrobial resistance (AMR) is a global threat to both human and animal health. This is mainly because the same antimicrobial molecules are used for the treatment and prophylaxis of bacterial diseases in both cases, and about 60% of huma
Externí odkaz:
https://doaj.org/article/9ca77401903741b58396720f3db3eb08
Motivated by information geometry, a distance function on the space of stochastic matrices is advocated. Starting with sequences of Markov chains the Bhattacharyya angle is advocated as the natural tool for comparing both short and long term Markov c
Externí odkaz:
http://arxiv.org/abs/2410.12689
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction
Autor:
Baumann, Nicolas, Ghignone, Edoardo, Hu, Cheng, Hildisch, Benedict, Hämmerle, Tino, Bettoni, Alessandro, Carron, Andrea, Xie, Lei, Magno, Michele
Head-to-head racing against opponents is a challenging and emerging topic in the domain of autonomous racing. We propose Predictive Spliner, a data-driven overtaking planner that learns the behavior of opponents through Gaussian Process (GP) regressi
Externí odkaz:
http://arxiv.org/abs/2410.04868
The Morse-Smale complex is a standard tool in visual data analysis. The classic definition is based on a continuous view of the gradient of a scalar function where its zeros are the critical points. These points are connected via gradient curves and
Externí odkaz:
http://arxiv.org/abs/2409.05532
Autor:
Sidiropoulos, Themistoklis, Singh, Puloma, Noll, Tino, Schneider, Michael, Engel, Dieter, Sommer, Denny, Steinbach, Felix, Will, Ingo, Pfau, Bastian, Schmising, Clemens von Korff, Eisebitt, Stefan
All-optical helicity-independent switching (AO-HIS) is of interest for ultrafast and energy efficient magnetic switching in future magnetic data storage approaches. Yet, to achieve high bit density magnetic recording it is necessary to reduce the siz
Externí odkaz:
http://arxiv.org/abs/2408.13079
Reservoir Computing (RC) models, a subclass of recurrent neural networks, are distinguished by their fixed, non-trainable input layer and dynamically coupled reservoir, with only the static readout layer being trained. This design circumvents the iss
Externí odkaz:
http://arxiv.org/abs/2408.08071
Recent findings by Jahn, T. Ullrich, Voigtlaender [10] relate non-linear sampling numbers for the square norm to quantities involving trigonometric best $m-$term approximation errors in the uniform norm. Here we establish new results for sparse trigo
Externí odkaz:
http://arxiv.org/abs/2407.15965
Autor:
Sinjan, Jonas, Solanki, Sami K., Hirzberger, Johann, Riethmüller, Tino L., Przybylski, Damien
Publikováno v:
A&A 690, A341 (2024)
We aim to test the reliability of determining the line-of-sight magnetic field from a 3D MHD simulation of a unipolar region. In contrast to earlier similar studies, we consider the full solar disk, i.e. considering the full centre-to-limb variation,
Externí odkaz:
http://arxiv.org/abs/2407.08368
Autor:
Raj, Maria Angela, Awad, Petra, Peletier, Reynier F., Smith, Rory, Kuchner, Ulrike, van de Weygaert, Rien, Libeskind, Noam I., Canducci, Marco, Tino, Peter, Bunte, Kerstin
Publikováno v:
A&A 690, A92 (2024)
Our objectives are to map the filamentary network around the Fornax-Eridanus Complex and probe the influence of the local environment on galaxy morphology. We employ the novel machine-learning tool, 1-DREAM (1-Dimensional, Recovery, Extraction, and A
Externí odkaz:
http://arxiv.org/abs/2407.03225
Nowadays, neural network (NN) and deep learning (DL) techniques are widely adopted in many applications, including recommender systems. Given the sparse and stochastic nature of collaborative filtering (CF) data, recent works have critically analyzed
Externí odkaz:
http://arxiv.org/abs/2407.00063