|
|
|
|
|
Diana Bratic, Marko ?apina, Denis Jurecic and Jana ?iljak Gr?ic
This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of m...
ver más
|
|
|
|
|
|
|
|
|
Li Li and Kyung Soo Jun
River flood routing computes changes in the shape of a flood wave over time as it travels downstream along a river. Conventional flood routing models, especially hydrodynamic models, require a high quality and quantity of input data, such as measured hyd...
ver más
|
|
|
|
|
|
|
|
|
Marco Scutari
Bayesian networks (BNs) are a foundational model in machine learning and causal inference. Their graphical structure can handle high-dimensional problems, divide them into a sparse collection of smaller ones, underlies Judea Pearl?s causality, and determ...
ver más
|
|
|
|
|
|
|
|
|
Vincenzo Manca
A symbolic analysis of Archimedes?s periodical number system is developed, from which a natural link emerges with the modern positional number systems with zero. After the publication of Fibonacci?s Liber Abaci, the decimal Indo-Arabic positional system ...
ver más
|
|
|
|
|
|
|
|
|
Santiago Moreno-Carbonell and Eugenio F. Sánchez-Úbeda
The Linear Hinges Model (LHM) is an efficient approach to flexible and robust one-dimensional curve fitting under stringent high-noise conditions. However, it was initially designed to run in a single-core processor, accessing the whole input dataset. Th...
ver más
|
|
|
|