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pro vyhledávání: '"Tiberiu S. Letia"'
Autor:
Tiberiu S. Letia, Attila O. Kilyen
Publikováno v:
Annals of computer science and information systems, Vol 8, Pp 757-766 (2016)
Externí odkaz:
https://doaj.org/article/f7ecf7c4a5904bc18873f5ecdd703133
Publikováno v:
ICCP
CoDIT
CoDIT
Software developers use metrics to estimate the software quality before the development stage to impact early decision making at the requirement stage, development quantification, operation, and software maintenance. These metrics give knowledge of a
Autor:
Attila O. Kilyen, Tiberiu S. Letia
Publikováno v:
IFAC-PapersOnLine. 51:248-253
The Cyber-Physical Systems (CPSs) are designed as a network of interacting entities with physical inputs and outputs. They usually require reactions involving artificial intelligence and fulfilling some temporal constraints. The newly proposed models
Autor:
Tiberiu S. Letia, Dahlia Al Janabi
Publikováno v:
ICSTCC
Object Enhanced Time Petri Nets (OETPN) can be used for specifications analysis, design (including synthesis), implementation, integration and maintenance of software applications in the domain of reactive systems, cyber-physical systems, embedded sy
Autor:
Tiberiu S. Letia, Mihai F. Enache
Publikováno v:
ICSTCC
The complexity of railway signaling systems sustains the train traffic control and monitoring. They must maintain the specified resilience and to guaranty the safety requirements without diminishing its efficiency. The current proposed method is base
Autor:
Tiberiu S. Letia, Attila O. Kilyen
Publikováno v:
FedCSIS
This paper presents a novel approach to synthesise hybrid controllers. A two-phase multi-objective evolutive algorithm was used to generate Unified Enhanced Timed Petri Net (UETPN) models. These models combine capabilities of timed Petri-nets, fuzzy
Publikováno v:
2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).
Nowadays the world demands trains that go with a very high speed. To achieve this, a concept of a railway modeling using software applications is proposed for the purpose of increasing the resilience of railway traffic. Software applications need mod
Publikováno v:
SpeD
We present an approach for aspect based opinion mining, which uses an unsupervised neural network as the opinion classifier. To identify the aspects, we use the Ant Clustering Algorithm. It is able to group similar sentences into clusters and then to
Publikováno v:
SYNASC
This paper presents an unsupervised method for aspect level sentiment analysis that uses the Growing Hierarchical Self-organizing Maps. Different sentences in a product review refer to different aspects of the reviewed product. We use the Growing Hie