the present note arises from the author's talk at the conference ``ischia group theory 2014''. for subgroups $fle n$ of a group $g$ denote by $lat(f,n)$ the set of all subgroups of $n$, containing $f$. let $d$ be a subgroup of $g$. in this note we study the lattice $ll=lat(d,g)$ and the lattice $ll'$ of subgroups of $g$, normalized by $d$. we say that $ll$ satisfies sandwich classification theo...

سخن سردبیر editorial مجله دانشگاه علوم پزشکی رفسنجان دوره 13، دی 1393، 924-923       طبقه بندی سوء رفتارهای پژوهشی   classification of research misconduct   محسن رضائیان[1] m. rezaeian   خلافکاری های پژوهشی (research misconduct) مشتمل بر طیف وسیعی از رفتارهای بسیار مخرب تا رفتارهای کمتر مخربی را در بر می گیرد که می توان مهمترین آنها را به شرح زیر طبقه بندی نمود ]2-1[: —جعل داده ها — تحریف داده ...

conclusions our study revealed weak correlation between pe/e-vc and cormack-lehane grade, with 87% sensitivity and 30% specificity. therefore, we concluded that sonographic measurement criteria are not accurate in airway evaluations before anesthesia. results it was observed that correlations between the pre-epiglottic space (pe) and cormack-lehane grades i, ii, and iii were weak. correlations ...

text classification is an important research field in information retrieval and text mining. the main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. since word detection is a difficult and time consuming task in persian language, bayesian text classifier is an appropriate approach to deal with different...

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. in this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...