in recent years, entrepreneurship in it industry has been viewed as a prime factor of economic development. since opportunity recognition is a critical step in entrepreneurship, identification of effectual factors in opportunity recognition is of great significance. the main objective of this study is to examine the effects of individual and social factors in opportunity recognition in it indus...

conclusions acute administration of u. dioica impairs the object-recognition task if it is used only before the training session. this may be due to its modulation on the acquisition processing of object-recognition. u. dioica has no significant effects on the consolidation or retrieval processing stages of the nor task. these results emphasize the unfavorable effect on cognitive function of pr...

With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...

In this work, we shall present some novel process to measure the similarity between picture fuzzy sets. Firstly, we adopt the concept of intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets and picture fuzzy sets. Secondly, we develop some similarity measures between picture fuzzy sets, such as, cosine similarity measure, weighted cosine similarity measure, set-theoretic similar...

Background: Recognition of total elbow arthroplasties (TEAs) on plain radiographs is difficult due to a multitude ofdifferent types and models. Especially if surgery reports and documentation are not available, lost or when the primarysurgery was performed in another hospital the prosthesis type may be undeterminable. Therefore we investigatedin this platform study if a flowch...

Standard face recognition algorithms that use standard feature extraction techniques always suffer from image performance degradation. Recently, singular value decomposition and low-rank matrix are applied in many applications,including pattern recognition and feature extraction. The main objective of this research is to design an efficient face recognition approach by combining many tech...