Evaluation of the Term Recognition Task

Seismic Data Forecasting: A Sequence Prediction or a Sequence Recognition Task

In this paper, we have tried to predict earthquake events in a cluster of seismic data on pacific ring of fire, using multivariate adaptive regression splines (MARS). The model is employed as either a predictor for a sequence prediction task, or a binary classifier for a sequence recognition problem, which could alternatively help to predict an event. Here, we explain that sequence prediction/r...

Effects of exercise on spatial memory deficits induced by nucleus basalis magnocellularis lesions

Introduction: Previous studies have shown that exercise enhances cognitive and functional capacities in patients with Alzheimer's disease (AD). In this study, we investigated the effect of long-term (60 days) and short- term (10 days) exercise on the spatial memory deficits in an animal model of AD. Methods: Fifty male rats were divided into 5 groups 1) intact, 2) sham, 3) sham-Alzheimer 4) ...

Long-Term Effects of Collaborative Task Planning vs. Individual Task Planning on Persian-Speaking EFL Learners’ Writing Performance

This study was aimed to compare long-term effects of collaborative and individual task planning on Persian-speaking EFL learners’ writing performance, using Brown and Bailey’s (1985) rating scale. Therefore, a group of 90 upper-intermediate EFL learners in collaborative task planning, individual task planning, and control groups took part in the study. In the experimental groups, the participan...

Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...

Medical Status of Traditional, Medicine in the Islamic Period, the Recognition of the Term, Concept Analysis, Initial Data Classification

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...