|
|
|
|
|
Jixiang Zhu, Miao Gao, Anmin Zhang, Yingjun Hu and Xi Zeng
In order to detect multi-ship encounter situations and improve the safety of navigation, this paper proposed a model which was able to mine multi-ship encounter situations from Automatic identification system (AIS) data and analyze the encounter spatial-...
ver más
|
|
|
|
|
|
|
|
|
Bernd Finkbeiner, Martin Fränzle, Florian Kohn and Paul Kröger
Signal Temporal Logic is a linear-time temporal logic designed for classifying the time-dependent signals originating from continuous-state or hybrid-state dynamical systems according to formal specifications. It has been conceived as a tool for systemat...
ver más
|
|
|
|
|
|
|
|
|
Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Marina de la Cruz, César Luis Alonso and Tony Ribeiro
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) explanations of systems built on machin...
ver más
|
|
|
|
|
|
|
|
|
Lev Kazakovtsev, Ivan Rozhnov and Guzel Shkaberina
The continuous p-median problem (CPMP) is one of the most popular and widely used models in location theory that minimizes the sum of distances from known demand points to the sought points called centers or medians. This NP-hard location problem is also...
ver más
|
|
|
|
|
|
|
|
|
Vladimir Beskorovainyi
Pág. 13 - 20
The subject of research in the article is the process of ranking options in project decision support systems. The goal of the work is to create a method for ranking options to improve the efficiency of decision support systems by coordinating the interac...
ver más
|
|
|
|