Zobrazeno 1 - 10
of 318
pro vyhledávání: '"PAPRZYCKI, Marcin"'
Autor:
Sowinski, Piotr, Lacalle, Ignacio, Vano, Rafael, Palau, Carlos E., Ganzha, Maria, Paprzycki, Marcin
The landscape of computing technologies is changing rapidly, straining existing software engineering practices and tools. The growing need to produce and maintain increasingly complex multi-architecture applications makes it crucial to effectively ac
Externí odkaz:
http://arxiv.org/abs/2410.20984
Autor:
Danilenka, Anastasiya, Furutanpey, Alireza, Pujol, Victor Casamayor, Sedlak, Boris, Lackinger, Anna, Ganzha, Maria, Paprzycki, Marcin, Dustdar, Schahram
Handling heterogeneity and unpredictability are two core problems in pervasive computing. The challenge is to seamlessly integrate devices with varying computational resources in a dynamic environment to form a cohesive system that can fulfill the ne
Externí odkaz:
http://arxiv.org/abs/2410.09099
This comprehensive survey serves as an indispensable resource for researchers embarking on the journey of fake news detection. By highlighting the pivotal role of dataset quality and diversity, it underscores the significance of these elements in the
Externí odkaz:
http://arxiv.org/abs/2407.02122
Autor:
Wróblewska, Anna, Witas, Marcel, Frańczak, Kinga, Kniaź, Arkadiusz, Cheong, Siew Ann, Chee, Tan Seng, Hołyst, Janusz, Paprzycki, Marcin
Recently, multiple applications of machine learning have been introduced. They include various possibilities arising when image analysis methods are applied to, broadly understood, video streams. In this context, a novel tool, developed for academic
Externí odkaz:
http://arxiv.org/abs/2406.14266
Over the years, RDF streaming was explored in research and practice from many angles, resulting in a wide range of RDF stream definitions. This variety presents a major challenge in discussing and integrating streaming systems, due to the lack of a c
Externí odkaz:
http://arxiv.org/abs/2311.14540
RDF data streaming has been explored by the Semantic Web community from many angles, resulting in multiple task formulations and streaming methods. However, for many existing formulations of the problem, reliably benchmarking streaming solutions has
Externí odkaz:
http://arxiv.org/abs/2305.06226
The concept of extended cloud requires efficient network infrastructure to support ecosystems reaching form the edge to the cloud(s). Standard approaches to network load balancing deliver static solutions that are insufficient for the extended clouds
Externí odkaz:
http://arxiv.org/abs/2304.09313
Autor:
Legierski, Jaroslaw, Rachwal, Kajetan, Sowinski, Piotr, Niewolski, Wojciech, Ratuszek, Przemyslaw, Kopertowski, Zbigniew, Paprzycki, Marcin, Ganzha, Maria
Publikováno v:
ICIMMI 2022: Proceedings of the 4th International Conference on Information Management & Machine Intelligence
Detecting Personal Protective Equipment in images and video streams is a relevant problem in ensuring the safety of construction workers. In this contribution, an architecture enabling live image recognition of such equipment is proposed. The solutio
Externí odkaz:
http://arxiv.org/abs/2301.01501
Autor:
Bolanowski, Marek, Żak, Kamil, Paszkiewicz, Andrzej, Ganzha, Maria, Paprzycki, Marcin, Sowiński, Piotr, Lacalle, Ignacio, Palau, Carlos E.
The aim of this contribution is to analyse practical aspects of the use of REST APIs and gRPC to realize communication tasks in applications in microservice-based ecosystems. On the basis of performed experiments, classes of communication tasks, for
Externí odkaz:
http://arxiv.org/abs/2208.00682