Elena Niculina Dragoi

Learn More
Watching the evolution of the Semantic Web (SW) from its inception to these days we can easily observe that the main task the developers face while building it is to encode the human knowledge into ontologies and the human reasoning into dedicated reasoning engines. Now, the SW needs to have efficient mechanisms to access information by both humans and(More)
The determination of the optimal neural network topology is an important aspect when using neural models. Due to the lack of consistent rules, this is a difficult problem, which is solved in this paper using an evolutionary algorithm namely Differential Evolution. An improved, simple, and flexible selfadaptive variant of Differential Evolution algorithm is(More)
In this paper, three methods for developing the optimal topology of feed-forward artificial neural networks are described and applied for modeling a complex polymerization process. In the free radical polymerization of styrene, accompanied by gel and glass effects, the monomer conversion and molecular masses are modeled depending on reaction conditions. The(More)
The search capabilities of the Differential Evolution (DE) algorithm – a global optimization technique – make it suitable for finding both the architecture and the best internal parameters of a neural network, usually determined by the training phase. In this paper, two variants of the DE algorithm (classical DE and self-adaptive mechanism) were used to(More)
The depollution of some gaseous streams containing n-hexane is studied by adsorption in a fixed bed column, under dynamic conditions, using granular activated carbon and two types of non-functionalized hypercross-linked polymeric resins. In order to model the process, a new neuro-evolutionary approach is proposed. It is a combination of a modified(More)
A series of modelling methodologies based on artificial intelligence tools are applied to solve a complex real-world problem. Neural networks and support vector machines are used as models and differential evolution and clonal selection algorithms as optimizers for structural and parametric optimization of the models. The goal is to make a comparative(More)
Dento-maxillary anomalies are the results of a deviation of growth processes, or of the development of the dento-maxillary apparatus. From the viewpoint of their frequencies the dento-maxillary anomalies hold the third place in the list of stomatological affections. The great variety of clinical manifestations of dento-maxillary anomalies has determined(More)
Certain species of plants can benefit from synergistic effects with plant growth-promoting rhizobacteria (PGPR) that improve plant growth and metal accumulation, mitigating toxic effects on plants and increasing their tolerance to heavy metals. The application of PGPR as biofertilizers and atmospheric nitrogen fixators contributes considerably to the(More)
The present paper forms part of a longitudinal study on prostheses restaurations with Romanian non-noble alloys for establishing the clinical, technological and biological implications of their utilization in mass assistance. The large contact surface with biological structures and the buccal medium of total conjoint restaurations permitted chacking of(More)
The bosson mass spectrum of a 3-3-1 gauge model with right-handed neutrinos is investigated by tuning a unique free parameter within the exact algebraical approach of solving gauge models with high symmetries. The resulting masses and the possible breaking scale of the model are discussed assuming certain phenomenological constrains. A critical point can(More)