in this paper, a new enhanced version of the particle swarm optimization (pso) is presented. an important modification is made by adding probabilistic functions into pso, and it is named probabilistic particle swarm optimization (ppso). since the variation of the velocity of particles in pso constitutes its search engine, it should provide two phases of optimization process which are: explorati...

In today’s competitive world, there are several strategies to deal with the fast changing environment, among which New product development (NPD) is a common strategy. However, almost half of the resources that companies devote to NPD are spent on products that may fail. This issue is particularly highlighted in the pharmaceutical industry mainly because of a long development-time, low success r...

Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for named entity alignment. To ease the training of the maximum entropy model, bootstrapping is used to help supervised learning. Unlike previous work reported in the literature, our work conducts bilingual Named Entity align...

there was a turning point in each period of time which human has discovered a new sight about the world and nature order in a way, and then has presented this relation by numeral, artful and industrial language. biourbanism focuses on the urban organism, considering it as a hyper complex system, according to its internal and external dynamics and their mutual interactions. nowadays when it is t...

A Named Entity Recognition (NER) plays a noteworthy role in Natural Language Processing (NLP) research, since it makes available the detection of proper nouns in unstructured texts. NER makes easier searching, retrieving, and extracting information seeing as the significant information in texts is usually sited around proper names. This paper suggests an efficient approach that can identify Nam...