نتایج جستجو برای: jorc classification

تعداد نتایج: 492400  

ژورنال: حیات 2011
احمدی, مریم, حبیبی‌کولایی, مهدی, حسینی, فاطمه, رفیعی, فروغ, میرکریمی, اطهرالسادات,

Background & Aim: Healthcare classification systems help to gather information and process health data. Nursing management focus on developing computerized records to answer legal, managerial and clinical needs. The Classification systems help organizations to use nursing data. This study investigated informational and structural needs of nursing data classification. Methods & Materials: Thi...

Journal: :journal of biostatistics and epidemiology 0
neda bayat department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran kazem mohammad department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran reza majdzadeh department of epidemiology and biostatistics and knowledge utilization research centre (kurc), school of public health, tehran university of medical sciences, tehran, iran arash etemadi digestive disease research center, tehran university of medical sciences, tehran, iran saharnaz nedjat department of epidemiology and biostatistics and knowledge utilization research centre (kurc), school of public health, tehran university of medical sciences, tehran, iran

b a c k g r o u n d & aim: due to lack of a unique and acceptable classification scheme for occupation in iran, the role of this measure has been ignored in many health researches. we aimed to find a suitable classification . methods  & materials:   in-depth  interviews  with  expert  health  professionals  were done through purposeful  sampling.  they  expressed  their  opinions  on five commo...

Abstract- Text classification is one of the main tasks of natural language processing (NLP). In this task, documents are classified into pre-defined categories. There is lots of news spreading on the web. A text classifier can categorize news automatically and this facilitates and accelerates access to the news. The first step in text classification is to represent documents in a suitable way t...

Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as face recognition applications, different images may be classified into the same class, and hen...

In this paper, a new hybrid methodology is introduced to design a cost-sensitive fuzzy rule-based classification system. A novel cost metric is proposed based on the combination of three different concepts: Entropy, Gini index and DKM criterion. In order to calculate the effective cost of patterns, a hybrid of fuzzy c-means clustering and particle swarm optimization algorithm is utilized. This ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده منابع طبیعی و علوم دریایی 1390

این تحقیق طی یک دوره یک ساله (1389) و در دو فصل، با هدف شناسایی، طبقه بندی و کددهی زیستگاه های ساحلی- دریایی خورموسی (یکی از مهم ترین خورهای خلیج فارس) انجام شد. منطقه مورد مطالعه از ناحیه آب فشان تا حداقل جزر را شامل گردید. مطالعه بر اساس طبقه بندی استاندارد اکولوژیک ساحلی- دریایی cmecs iii (coastal and marine ecological classification standard) و بر مبنای دو گروه از لایه های اطلاعاتی پوشش زیس...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده مهندسی برق و کامپیوتر 1391

از یک پروژه متن باز، به طور کلی چند گروه بهره می برند: مدیران پروژه، توسعه دهندگان، کاربران و حامیان مالی پروژه. در مواجه با یک پروژه جدید، موفقیت یا شکست آن، بر تصمیم های هر کدام از این گروه ها موثر خواهد بود. از این رو شناسایی زودهنگام موفقیت در پروژه متن باز می تواند تاثیر به سزایی در مدیریت و استراتژی های هر گروه بگذارد. در پژوهش پیش رو، ابتدا به شناسایی و جمع آوری داده های مربوط به 500 پرو...

In classification problems, we often encounter datasets with different percentage of patterns (i.e. classes with a high pattern percentage and classes with a low pattern percentage). These problems are called “classification Problems with imbalanced data-sets”. Fuzzy rule based classification systems are the most popular fuzzy modeling systems used in pattern classification problems. Rule weights...

کرمی, علی, کیانی , آزاده, زنج, بهمن, پور آهنگریان, فرشته ,

In this paper, Automatic electrocardiogram (ECG) arrhythmias classification is essential to timely diagnosis of dangerous electromechanical behaviors and conditions of the heart. In this paper, a new method for ECG arrhythmias classification using wavelet transform (WT) and neural networks (NN) is proposed. Here, we have used a discrete wavelet transform (DWT) for processing ECG recordings, and...

Journal: :the modares journal of electrical engineering 2006
hosein nezamabadi-pour ehsanollah - kabir

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید