Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Monka, P P"'
Autor:
Zhou, Hongkuan, Halilaj, Lavdim, Monka, Sebastian, Schmid, Stefan, Zhu, Yuqicheng, Xiong, Bo, Staab, Steffen
Despite the remarkable success of deep neural networks (DNNs) in computer vision, they fail to remain high-performing when facing distribution shifts between training and testing data. In this paper, we propose Knowledge-Guided Visual representation
Externí odkaz:
http://arxiv.org/abs/2410.15981
Autor:
Monka-Ewe, Carsten, Berkelmann, Lukas, Wolf, Richard, Oelerich, Jan Oliver, Schönfelder, Thorsten, Kühnel, Marco, Chen, Zhichao, Stanescu, Alin, Kushova, Oliver, Siekmann, Daniel, Jannsen, Bert
The ever-increasing need for spectrum for mobile broadband systems has led to the recent allocation of spectral resources for International Mobile Telecommunication (IMT) services in the upper mid band (6.425 - 7.125 GHz) at the World Radio Conferenc
Externí odkaz:
http://arxiv.org/abs/2401.17889
Autor:
Mlodzian, Leon, Sun, Zhigang, Berkemeyer, Hendrik, Monka, Sebastian, Wang, Zixu, Dietze, Stefan, Halilaj, Lavdim, Luettin, Juergen
Trajectory prediction in traffic scenes involves accurately forecasting the behaviour of surrounding vehicles. To achieve this objective it is crucial to consider contextual information, including the driving path of vehicles, road topology, lane div
Externí odkaz:
http://arxiv.org/abs/2312.09676
Autor:
Hervé Monka Lekuya, Stephen Cose, Marjorie Nakibuule, Gift Ahimbisibwe, Anthony Fuller, Larrey Kasereka Kamabu, Emmanuel Biryabarema, Geoffrey Olweny, David Patrick Kateete, Anthony Kirabira, Fredrick Makumbi, Jelle Vandersteene, Edward Baert, Moses Galukande, Jean-Pierre Okito Kalala
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundThe safe timing window for surgery during the acute phase of inflammation due to traumatic brain injury (TBI) has not been studied extensively. We aimed to elucidate the relationship between the timing of surgery and changes in perioperativ
Externí odkaz:
https://doaj.org/article/80afd2c40a9f42ccab892f0601b23452
Current deep learning methods for object recognition are purely data-driven and require a large number of training samples to achieve good results. Due to their sole dependence on image data, these methods tend to fail when confronted with new enviro
Externí odkaz:
http://arxiv.org/abs/2210.11233
Automated driving is one of the most active research areas in computer science. Deep learning methods have made remarkable breakthroughs in machine learning in general and in automated driving (AD)in particular. However, there are still unsolved prob
Externí odkaz:
http://arxiv.org/abs/2210.08119
Autor:
Larrey Kasereka Kamabu, Franck Katembo Sikakulya, Louange Maha Kataka, Bives Nzanzu Mutume Vivalya, Hervé Monka Lekuya, Doomwin Oscar Deogratius Obiga, Juliet Nalwanga Sekabunga, Godfrey S. Bbosa
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-7 (2024)
Abstract Introduction Brain abscesses are rare but potentially fatal condition and can be associated with cyanotic congenital heart disease of which 5–18.7% of these patients that develop cerebral abscess commonly have tetralogy of Fallot (TOF). Ca
Externí odkaz:
https://doaj.org/article/63a1045b6c354046b675bbba2a57eb6d
Recent approaches of computer vision utilize deep learning methods as they perform quite well if training and testing domains follow the same underlying data distribution. However, it has been shown that minor variations in the images that occur when
Externí odkaz:
http://arxiv.org/abs/2201.11794
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32243- (2024)
The Wnt signaling pathway is one of the most ancient and pivotal signaling cascades, governing diverse processes in development and cancer regulation. Within the realm of cancer treatment, genistein emerges as a promising candidate due to its multifa
Externí odkaz:
https://doaj.org/article/99839d4767e845a99666c3dd7be45bae
Autor:
Nydia Tejeda-Muñoz, Yagmur Azbazdar, Eric A. Sosa, Julia Monka, Pu-Sheng Wei, Grace Binder, Kuo-Ching Mei, Yerbol Z. Kurmangaliyev, Edward M. De Robertis
Publikováno v:
Biology Open, Vol 13, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/8209293db1834421b783329a357b4e1a