نتایج جستجو برای: where each sub
تعداد نتایج: 1848658 فیلتر نتایج به سال:
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
in this study reference as one of the five cohesive devices in the achievement of textuality in english and persian narrative/descripitive written texts is focused on and analysed . to do so , the theoretical framework elaborated by halliday and hasan (1976) and its version adapted by the writer to match the sub-types of reference in farsi are applied to the analysis of reference in english and...
abstract this study set out to compare the effect of modality of presentation (subtitled vs. auditory) in the comprehension of verbal content of documentary films among iranian efl students. to this end, (30 male 30 female) students were chosen from two schools. after their homogeneity was established, the students attended the listening sessions to watch five documentary films over t...
abstract the main purpose of this study was to investigate whether there was any significant difference between the speaking achievement of learners who were trained by means of consciousness raising of sociolinguistic skills and that of learners who were trained without the above mentioned task. the participants of this study consist of 60 intermediate level students participating languag...
Hate speech in the form of racism and sexism is commonplace on the internet (Waseem and Hovy, 2016). For this reason, there has been both an academic and an industry interest in detection of hate speech. The volume of data to be reviewed for creating data sets encourages a use of crowd sourcing for the annotation efforts. In this paper, we provide an examination of the influence of annotator kn...
This paper describes the design of a single learning network that integrates both object location (“where”) and object type (“what”), from images of learned objects in natural complex backgrounds. The in-place learning algorithm is used to develop the internal representation (including synaptic bottomup and top-down weights of every neuron) in the network, such that every neuron is responsible ...
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