We participated in the i2b2 smoking status classification challenge task. The purpose of this task was to evaluate the ability of systems to automatically identify patient smoking status from discharge summaries. Our submission included several techniques that we compared and studied, including hot-spot identification, zero-vector filtering, inverse class frequency weighting, errorcorrecting ou...

Law enforcement agencies have been exploiting biometric identifiers for decades as key tools in forensic identification. With the evolution in information technology and the huge volume of cases that need to be investigated by forensic specialists, it has become important to automate forensic identification systems. While, ante mortem (AM) identification, that is identification prior to death, ...

Biometric system is a technology for identification or authentication of a living person grounded on a behavioral or physiological characteristic. There are so many biometric systems like fingerprints, voice, gait, iris etc. Other identification systems are available like PIN, password etc Among these biometric authentication system, iris identification has got increasing tending due to its hig...

Text mining involves the use of statistical and machine learning techniques to learn structural elements of text in order to search for useful information in previously unseen text. The need for these techniques have emerged out of the rapidly growing information era. Token identification is an important component of any text mining tool. The accomplishment of this task enhances the function of...

In this study, Dunaliella has been isolated in Jun. 2014 from Hoz-e Soltan and Aran-va-Bidgol salt Lakes (Iran). The isolates have been identified morphologically with the aid of simple light and invert microscope after isolation and purification on their specific medium (Moh202). By using molecular techniques such as polymerase chain reaction (PCR) and amplification of 18S rDNA gene primers, f...

Within the last two decades there has been an increasing need for the development of mathematical models out of observed data captured from a system, a process called empirical modelling or systems identification. Under this circumstance, many techniques and methodologies have been proposed, among them the use of Artificial Neural Networks. It is proposed herein a non-hybrid gradient-based lear...

A system to be developed is expected to provide solution of a problem. After a careful identification of domains, an explicit, precise and well-engineered description is essential to develop an accurate solution providing system. Machine domain is formal while problem domain is informal. Description is like a platform for the developers to start and finish the development activities. Four princ...

Modeling and identification for high dimensional (i.e. signals with many components) data sets poses severe challenges to off-the-shelf techniques for system identification. This is particularly so when relatively small data sets, as compared to the number signal components, have to be used. It is often the case that each component of the measured signal can be described in terms of few other m...

A non-pigmented and asporogenic fungal strain without taxonomically useful characteristics was isolated from sputum of a patient with chronic bronchitis. Although the taxonomic position could not be determined based on traditional morphological criteria, the fungus was identified as an Aspergillus fumigatus mutant strain by molecular techniques including ITS sequence analysis and PCR identifica...

BACKGROUND The routine diagnosis of Streptococcus spp. and other mastitis associated gram-positive, catalase-negative cocci is still based upon biochemical tests and serological methods, which frequently provide ambiguous identification results. We therefore aimed to establish an accurate identification system for differential diagnosis of mastitis associated Streptococcus spp. and related spec...