Výsledky vyhledávání

For several types of information relations, the induced rough sets system RS does not form a lattice but only a partially ordered set. However, by studying its Dedekind-MacNeille completion DM(RS), one may reveal new important properties of rough set

Externí odkaz: http://arxiv.org/abs/2412.10863

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On volume density and star formation in nearby molecular clouds

Autor: Orkisz, Jan H., Kainulainen, Jouni

Volume density is a key physical quantity controlling the evolution of the interstellar medium (ISM) and star formation, but it cannot be accessed directly by observations of molecular clouds. We aim at estimating the volume density distribution in n

Externí odkaz: http://arxiv.org/abs/2412.07595

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Disentangling the influence of excitation energy and compound nucleus angular momentum on fission fragment angular momentum

Autor: Cannarozzo, Simone, Pomp, Stephan, Solders, Andreas, Al-Adili, Ali, Gao, Zhihao, Lantz, Mattias, Penttilä, Heikki, Kankainen, Anu, Moore, Iain, Eronen, Tommi, Ruotsalainen, Jouni, Ge, Zhuang, Jaries, Arthur, Mougeot, Maxime, Raggio, Andrea, Virtanen, Ville, Stryjczyk, Marek

The origin of the large angular momenta observed for fission fragments is still a question under discussion. To address this, we study isomeric yield ratios (IYR), i.e. the relative population of two or more long-lived metastable states with differen

Externí odkaz: http://arxiv.org/abs/2412.04340

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Kernel-based retrieval models for hyperspectral image data optimized with Kernel Flows

Autor: Duma, Zina-Sabrina, Sihvonen, Tuomas, Susiluoto, Jouni, Lamminpää, Otto, Haario, Heikki, Reinikainen, Satu-Pia

Kernel-based statistical methods are efficient, but their performance depends heavily on the selection of kernel parameters. In literature, the optimization studies on kernel-based chemometric methods is limited and often reduced to grid searching. P

Externí odkaz: http://arxiv.org/abs/2411.07800

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Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning

Autor: Kolagar, Seyed Adel Alizadeh, Shahna, Mehdi Heydari, Mattila, Jouni

Deep reinforcement learning (DRL) is emerging as a promising method for adaptive robotic motion and complex task automation, effectively addressing the limitations of traditional control methods. However, ensuring safety throughout both the learning

Externí odkaz: http://arxiv.org/abs/2410.20907

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Multiple-beam Interference Spectroscopy: Instrument Analysis and Spectrum Reconstruction

Autor: Jouni, Mohamad, Picone, Daniele, Mura, Mauro Dalla

Hyperspectral imaging systems based on multiple-beam interference (MBI), such as Fabry-Perot interferometry, are attracting interest due to their compact design, high throughput, and fine resolution. Unlike dispersive devices, which measure spectra d

Externí odkaz: http://arxiv.org/abs/2410.21586

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