Zobrazeno 1 - 10
of 7 422
pro vyhledávání: '"A. Sienkiewicz"'
Autor:
E. Horváth, J. Gabathuler, G. Bourdiec, E. Vidal-Revel, M. Benthem Muñiz, M. Gaal, D. Grandjean, F. Breider, L. Rossi, A. Sienkiewicz, L. Forró
Publikováno v:
npj Clean Water, Vol 5, Iss 1, Pp 1-11 (2022)
Abstract Water contamination due to environmental conditions and poor waste management in certain areas of the world represents a serious problem in accessing clean and safe drinking water. This problem is especially critical in electricity-poor regi
Externí odkaz:
https://doaj.org/article/8dc851e3c81e40f099eb8ebef1dfb6f8
Autor:
P. Moskal, A. Gajos, M. Mohammed, J. Chhokar, N. Chug, C. Curceanu, E. Czerwiński, M. Dadgar, K. Dulski, M. Gorgol, J. Goworek, B. C. Hiesmayr, B. Jasińska, K. Kacprzak, Ł. Kapłon, H. Karimi, D. Kisielewska, K. Klimaszewski, G. Korcyl, P. Kowalski, N. Krawczyk, W. Krzemień, T. Kozik, E. Kubicz, S. Niedźwiecki, S. Parzych, M. Pawlik-Niedźwiecka, L. Raczyński, J. Raj, S. Sharma, S. Choudhary, R. Y. Shopa, A. Sienkiewicz, M. Silarski, M. Skurzok, E. Ł. Stępień, F. Tayefi, W. Wiślicki
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
CPT violation could manifest itself in annihilating positronium events, but searching for this effect would require to know the spin of the annihilating system. Here, the authors do this using a positron-emission tomography scanner, finding no violat
Externí odkaz:
https://doaj.org/article/89015644d56b4ef6b9f08380e64fc186
Autor:
Mieleszczenko-Kowszewicz, Wiktoria, Płudowski, Dawid, Kołodziejczyk, Filip, Świstak, Jakub, Sienkiewicz, Julian, Biecek, Przemysław
This study explores how the Large Language Models (LLMs) adjust linguistic features to create personalized persuasive outputs. While research showed that LLMs personalize outputs, a gap remains in understanding the linguistic features of their persua
Externí odkaz:
http://arxiv.org/abs/2411.06008
Publikováno v:
eXPRESS Polymer Letters, Vol 15, Iss 7, Pp 582-599 (2021)
The presented research shows the results of the investigations on the synthesis of polymeric materials through the fusion reaction of modified palm oil derivatives. First, raw palm oil was subjected to epoxidation. In order to determine the best reac
Externí odkaz:
https://doaj.org/article/88cdafcb75034fa28ec6902ee944c28c
Autor:
A. Sienkiewicz, P. Czub
Publikováno v:
eXPRESS Polymer Letters, Vol 13, Iss 7, Pp 642-655 (2019)
Presented research shows the results of a study on the synthesis and mechanical properties of materials obtained by crosslinking polyaddition bio-products with blocked isocyanate based on toluene diisocyanate (TDI) as curing agent. Bio-resins, polyad
Externí odkaz:
https://doaj.org/article/62297c88736f4e689698a8812c76c5d3
We present our ongoing research on applying a participatory design approach to using social robots for elderly care. Our approach involves four different groups of stakeholders: the elderly, (non-professional) caregivers, medical professionals, and p
Externí odkaz:
http://arxiv.org/abs/2404.14134
Publikováno v:
Advances in Intelligent Data Analysis XXII, IDA 2024, LNCS, vol 14641, (2024), 191-202
Travel mode choice (TMC) prediction, which can be formulated as a classification task, helps in understanding what makes citizens choose different modes of transport for individual trips. This is also a major step towards fostering sustainable transp
Externí odkaz:
http://arxiv.org/abs/2404.14017
We propose 'Deep spatial context' (DSCon) method, which serves for investigation of the attention-based vision models using the concept of spatial context. It was inspired by histopathologists, however, the method can be applied to various domains. T
Externí odkaz:
http://arxiv.org/abs/2401.10044
Autor:
Indurkhya, Bipin, Sienkiewicz, Barbara
Sustainability is no longer a matter of choice but is invariably linked to the survival of the entire ecosystem of our planet Earth. As robotics technology is growing at an exponential rate, it is crucial to examine its implications for sustainabilit
Externí odkaz:
http://arxiv.org/abs/2401.03477
Autor:
Giziński, Stanisław, Kaczyńska, Paulina, Ruczyński, Hubert, Wiśnios, Emilia, Pieliński, Bartosz, Biecek, Przemysław, Sienkiewicz, Julian
Publikováno v:
Journal of Informetrics 18(4), 101572 (2024)
There exists a growing discourse around the domination of Big Tech on the landscape of artificial intelligence (AI) research, yet our comprehension of this phenomenon remains cursory. This paper aims to broaden and deepen our understanding of Big Tec
Externí odkaz:
http://arxiv.org/abs/2312.12881