نتایج جستجو برای: machine diagnostic

تعداد نتایج: 551731  

Journal: :Journal of the Brazilian Society of Mechanical Sciences and Engineering 2004

Journal: :CJEM 1999
U Ip

I n February 1997, a proposal to develop diagnostic ultra-sound (U/S) skills for emergency physicians at Surrey Memorial Hospital was presented to the Diagnostic Imaging (DI) Department and subsequently to the Medical Advisory Committee. To our surprise, this was accepted in principle, with no resistance. With the support of DI, maternity and emergency medicine developed a joint proposal to pur...

Journal: :the journal of tehran university heart center 0
maryam esmaeilzadeh shaheed rajaie cardiovascular medical and research center, tehran, iran.

echocardiography plays a fundamental role in the evaluation of patients with an intracardiac mass. the ability to distinguish tissue characteristics, location, attachment, shape, size, and mobility non-invasively, quickly, and without the use of ionizing radiation makes echocardiography the ideal diagnostic modality. with careful attention to mass location and morphology, and appropriate applic...

Journal: :medical journal of islamic republic of iran 0
amene homami department of medical genetics and molecular biology, iran university of medical sciences, tehran, iran. farideh ghazi department of medical genetics and molecular biology, iran university of medical sciences, tehran, iran.

bladder cancer is the fifth most common cancer with significant morbidity and mortality. recently, numerous studies demonstrated that micrornas are emerging as diagnostic biomarkers for bladder cancer. specific mirna profiles have been identified for several samples from patients with bladder cancer. micrornas are noncoding rna molecules of approximately 23 nucleotides that play important roles...

Journal: :journal of food quality and hazards control 0
g. eslami research center for food hygiene and safety, faculty of health, shahid sadoughi university of medical sciences, yazd, iran l. manafi department of parasitology and mycology, faculty of medicine, shahid sadoughi university of medical sciences, yazd, iran s. peletto istituto zooprofilattico sperimentale del piemonte, liguria e valle d'aosta, turin, italy

background: dna extraction is one the most important steps for molecular analysis of food-borne pathogens. in this research, three methods of dna extractions from beef harboring sarcocystis spp. were compared for the quality, quantity, safety, as well as cost-effectiveness. methods: about 100 mg intersostal and diaphragm were collected from 10 slaughtered cattle. after ensuring their contaminat...

Journal: :the modares journal of electrical engineering 2016
h. adaminejad i. shayegani m. ohammadi e. farjah

since it is essential to deliver smoothed sinusoidal voltage to the customers, diagnosing power quality (pq) events has played important role in power delivery and conversion. this diagnostic scheme should be accurate to classify pq events from other events in power system. also it should be fast enough to rapidly mitigate pq events. in this paper, an algorithm based on core vector machine (cvm...

Alzheimer's disease is characterized by impaired glucose metabolism and demonstration of amyloid plaques. Individual positron emission tomography tracers may reveal specific signs of pathology that is not readily apparent on inspection of another one. Combination of multitracer positron emission tomography imaging  yields promising results. In this paper, 57 Alzheimer's disease neuroimaging ini...

ژورنال: محاسبات نرم 2020

One of the most important methods for transformers fault diagnosis (especially mechanical defects) is the frequency response analysis (FRA) method. The most important step in the FRA diagnostic process is to differentiate the faults and classify them in different classes. This paper uses the intelligent support vector machine (SVM) method to classify transformer faults. For this purpose, two gr...

Journal: :IEEE transactions on neural networks 1996
Constantinos S. Pattichis Christos Schizas

Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks (ANN's) in classifying EMG data trained with backpropagation or Rohonen's self-organizing feature maps algorithm has recently been demonstrated. The objective of this study is to investigate how genetics-based machine learning (GBML) can be applied ...

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