background: the time and frequency features of motor unit action potentials (muaps) extracted from electromyographic (emg) signal provide discriminative information for diagnosis and treatment of neuromuscular disorders. however, the results of conventional automatic diagnosis methods using muap features is not convincing yet. objective: the main goal in designing a muap characterization system...

land cover classification is one of the most important applications of polarimetric radar images, especially in urban areas. there are numerous features that can be extracted from these images for the use of their high potential, hence feature selection plays an important role in polsar image classification. in this study, three main steps are used to improve the classification: 1) feature extr...

$11 [191]. $139.95/£ [2875]. $150 [1945]. $22.50 [2591]. $24.95 [2593]. $26.95 [3283, 345]. $29.95 [2106]. $30.00 [1994]. $35.95 [347]. $36.95 [1994]. $37.50 [2313]. $39 [204, 850]. $39.95 [1912]. $39.95/$24.95 [2458]. $40 [286]. $45 [1846]. $47.50 [36]. $49.50 [851]. $50 [1916, 2587]. $50.00 [2372]. $59 [2376]. $81.00 [26]. $9.95 [613]. ◦ [63, 2157, 1391, 2131]. 2 [2134]. · [3021]. [61, 302, 2...

OBJECTIVES To evaluate the feasibility, efficacy, and cost of outpatient parenteral antimicrobial therapy (OPAT) in the treatment of osteomyelitis. SUBJECTS 39 patients with an osteomyelitis requiring parenterally administered antibiotics for more than 4 weeks, and able to receive antibiotics at home. METHODS All patients had a totally implanted catheter. Antibiotics were administered by co...

two different methods of bayesian segmentation algorithm were used with different band combinations. sequential maximum a posteriori (smap) is a bayesian image segmentation algorithm which unlike the traditional maximum likelihood (ml) classification attempts to improve accuracy by taking contextual information into account, rather than classifying pixels separately. landsat 7 etm+ data with pa...

This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those o...

People communicate with each other by exchanging verbal and visual expressions. However, paralyzed patients with various neurological diseases such as amyotrophic lateral sclerosis and cerebral ischemia have difficulties in daily communications because they cannot control their body voluntarily. In this context, brain-computer interface (BCI) has been studied as a tool of communication for thes...