Abstract: Nowadays knowledge is recognized as an important enabler for competitive advantages and many companies are beginning to establish knowledge management systems. Within the last few years many organizations tried to design a suitable knowledge management system and many of them were successful. This paper is to discover critical success factors (CSF) of knowledge management (KM) and the...

The excellent performance of deep neural networks mainly relies on the attributes dataset, such as size, diversity, completeness. However, it is usually difficult to obtain a high-qualified training dataset for some scenarios. Inspired by human visual cognition process with few sample learning, and strong robustness, we believe experience knowledge more powerful than large-scale data. To combin...

Objectives: Wernicke’s aphasia is one of the most prominent focal brain deficits affecting the comprehension abilities of patients while preserving their production abilities. Although a lot of studies in different languages have been conducted to analyze the nature of this deficit, still some controversies exist in this regard. While some research studies attribute this defect to a performance...

Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with large increase volume of textual data that is produced daily. Traditional approaches for calculating degree two texts, based on words they share, do not perform well because similar may be written differen...