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BACKGROUND The literature pertaining to chiropractic students' opinions with respect to the desired future status of the chiropractic physician is limited and is an appropriate topic worthy of study. A previous pilot study was performed at a single chiropractic college. This current study is an expansion of this pilot project to collect data from(More)
Event discovery from single pictures is a challenging problem that has raised significant interest in the last decade. During this time, a number of interesting solutions have been proposed to tackle event discovery in still images. However, a large scale benchmarking image dataset for the evaluation and comparison of event discovery algorithms from single(More)
Ratoon stunting disease (RSD) of sugarcane, one of the most important diseases seriously affecting the productivity of sugarcane crops, was caused by the bacterial agent Leifsonia xyli subsp. xyli (Lxx). A TaqMan probe-based real-time quantitative polymerase chain reaction (qPCR) assay was established in this study for the quantification of Lxx detection in(More)
In the modern era of computer and technology, images and videos play a vital role. Therefore, there is always a need for robust skin detection system in order to cope with the intolerable and objectionable contents. In this paper, an efficient method has been implemented for skin detection, which detects the skin in different images under different(More)
This paper presents a comprehensive review of performance-security trade-off based on RANETs. It is suggested that stochastic Petri nets (SPNs) are the best choice to investigate performance-security trade-off in RANETs. In the context of RANETs, a mathematical model that is based on SPNs is analysed to investigate performance-security trade-off. Security(More)
With the SIFT and SURF based recognition, the paper presents the impact of salient features in object recognition. We use the two well-known image descriptors in the bag of words framework on five online available standard datasets. Experiments show that by introducing saliency in the bag of words model, state-of-the-art performance can still be retained(More)
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