Zobrazeno 1 - 10
of 29 527
pro vyhledávání: '"A, Forsberg"'
Autor:
Forsberg, Albin, Iwaya, Leonardo Horn
Mobile health applications (mHealth apps), particularly in the health and fitness category, have experienced an increase in popularity due to their convenience and availability. However, this widespread adoption raises concerns regarding the security
Externí odkaz:
http://arxiv.org/abs/2409.18528
Autor:
Wretblad, Niklas, Holmström, Oskar, Larsson, Erik, Wiksäter, Axel, Söderlund, Oscar, Öhman, Hjalmar, Pontén, Ture, Forsberg, Martin, Sörme, Martin, Heintz, Fredrik
Relational databases often suffer from uninformative descriptors of table contents, such as ambiguous columns and hard-to-interpret values, impacting both human users and text-to-SQL models. In this paper, we explore the use of large language models
Externí odkaz:
http://arxiv.org/abs/2408.04691
Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
Autor:
Forsberg, Briony, Williams, Dr Henry, MacDonald, Prof Bruce, Chen, Tracy, Hamzeh, Dr Reza, Hulse, Dr Kirstine
This paper develops an approach to classify instances of product failure in a complex textiles manufacturing dataset using explainable techniques. The dataset used in this study was obtained from a New Zealand manufacturer of woollen carpets and rugs
Externí odkaz:
http://arxiv.org/abs/2407.18544
In this study, state-of-the-art unsupervised detection models were evaluated for the purpose of automated anomaly inspection of wool carpets. A custom dataset of four unique types of carpet textures was created to thoroughly test the models and their
Externí odkaz:
http://arxiv.org/abs/2407.18450
Autor:
Absil, Olivier, Kenworthy, Matthew, Delacroix, Christian, de Xivry, Gilles Orban, König, Lorenzo, Pathak, Prashant, Doelman, David, Por, Emiel, Snik, Frans, Born, Joost van den, Cantalloube, Faustine, Carlotti, Alexis, Courtney-Barrer, Benjamin, Forsberg, Pontus, Karlsson, Mikael, Bertram, Thomas, van Boekel, Roy, Dolkens, Dennis, Feldt, Markus, Glauser, Adrian M., Pantin, Eric, Quanz, Sascha P., Bettonvil, Felix, Brandl, Bernhard
Publikováno v:
Proceedings of the SPIE, Volume 13096, id. 13096-192 (2024)
The Mid-infrared ELT Imager and Spectrograph (METIS) is one of the first-generation scientific instruments for the ELT, built under the supervision of ESO by a consortium of research institutes across and beyond Europe. Designed to cover the 3 to 13
Externí odkaz:
http://arxiv.org/abs/2407.10588
Autor:
Thorsbro, Brian, Forsberg, Rebecca, Kordopatis, Georges, Mastrobuono-Battisti, Alessandra, Church, Ross P., Rich, R. Michael, Ryde, Nils, Schultheis, Mathias, Nishiyama, Shogo
Publikováno v:
ApJL 958 L18 (2023)
We report metallicities for three $\sim$Gyr-old stars in the Milky Way nuclear star cluster (NSC) using high-resolution near-infrared spectroscopy. We derive effective temperatures from a calibration with Sc line strength, which yields results in goo
Externí odkaz:
http://arxiv.org/abs/2404.19628
One of the main challenges in multi-agent reinforcement learning is scalability as the number of agents increases. This issue is further exacerbated if the problem considered is temporally dependent. State-of-the-art solutions today mainly follow cen
Externí odkaz:
http://arxiv.org/abs/2403.15916
In order to investigate the chemical history of the entire MilkyWay, it is imperative to also study the dust-obscured regions, where most of the mass lies. The Galactic Center is an example of such a region of interest, where due to the intervening d
Externí odkaz:
http://arxiv.org/abs/2401.03793
Autor:
Mazzola, Sergio, Ara, Gabriele, Benz, Thomas, Forsberg, Björn, Cucinotta, Tommaso, Benini, Luca
In the current high-performance and embedded computing era, full-stack energy-centric design is paramount. Use cases require increasingly high performance at an affordable power budget, often under real-time constraints. Extreme heterogeneity and par
Externí odkaz:
http://arxiv.org/abs/2401.01826
Publikováno v:
Advanced Ultrasound in Diagnosis and Therapy, Vol 8, Iss 4, Pp 217-230 (2024)
Multiparametric MRI (mpMRI) is currently the standard imaging modality for the diagnosis of prostate cancer; however, studies have reported that targeted biopsy based on mpMRI may miss approximately 30% of clinically significant cases. Recent advance
Externí odkaz:
https://doaj.org/article/d344a4b7c6004736a61af0f86ea61952
