نتایج جستجو برای: Principal component analysis
تعداد نتایج: 3331272 فیلتر نتایج به سال:
این تحقیق با استفاده آنالیز چند متغیره بر روی عکس های ذخیره شده بوسیله یک دوربین دیجیتال راه حلی را برای مسئله همپوشانی پیک ها که یکی از مسائل مهم در کروماتوگرافی لایه نازک است ارائه میدهد. ما برای اولین بار اندازه گیری همزمان چند گونه بر روی کاغذ کروماتوگرافی لایه نازک را با استفاده از آنالیز چند متغیره عکس مورد مطالعه قرار دادیم. سیستم عکسبرداری متشکل از یک کابینت، یک دوربین دیجیتال و یک بر...
the species of dioscorea (yam) are regarded as a staple food crop for millions of people in the tropical and subtropical regions of the world. it is regarded as an important food crop next to cereals and grains due to high yield storage of carbohydrates. economically, only few species are recognized for cultivation from agricultural point of view, in spite of its large species diversity. the sp...
the aim of this study was to assess the environmental impact of socio-cultural practices on the water quality of river ganga at the foothills of the garhwal himalayas in uttarakhand state, india. the physico-chemical parameters that contributed to the temporal variation and pollution in the river were identified in this study. principal component analysis (pca) and cluster analysis (ca) were us...
background: cutaneous leishmaniasis is one of the most important parasitic diseases in humans. in this disease, one of the responsible organisms is leishmania major, which is transmitted by sandfly vector. there are specific differences in biochemical profiles and metabolite pathways in logarithmic and stationary phases of leishmania parasites. in the present study, 1h nmr spectroscopy was used...
detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (wsns). to address the problem of outlier detection in wireless sensor networks, in this paper we present a pca-based centralized approach and a dpca-based distributed energy-efficient approach for detecting outliers in sensed data in a wsn. the outliers in sensed data can be ca...
linseed is an important oilseed and fibre crop predominantly grown in india. the aim of the present research was to evaluate genetic diversity and patterns of relationships among the 58 genotypes through 10 morphological traits and 12 polymorphic microsatellite (ssr) markers. euclidean analysis of agro-morphological traits grouped the 58 genotypes into four clusters of which cluster i was the l...
Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this work, we report an integrated approach to several theoretical and practical aspects of PCA. We start by providing, intuitive accessible manner, basic principles underlying PCA its applications. Next, present a systematic, though no exclusive, survey some representative works illustrating poten...
selecting within local pomegranate accessions is the main method used to identify new cultivars. total of 76 pomegranate accessions from hatay, turkey, were collected and their morpho-pomological and chemical characteristics were determined. the results showed that there was significant diversity among the accessions in terms of fruit quality parameters. several accessions were notable for thei...
background: fetal electrocardiography is a developing field that provides valuable information on the fetal health during pregnancy. by early diagnosis and treatment of fetal heart problems, more survival chance is given to the infant. objective: here, we extract fetal ecg from maternal abdominal recordings and detect r-peaks in order to recognize fetal heart rate. on the next step, we find a b...
تقسیم بندی الگوی بارش در استان فارس، بوشهر و کهگیلویه و بویر احمد با استفاده از روش تحلیل مولفه اصلی
مطالعه توزیع جغرافیایی بارندگی به جهت استفاده وسیع آن در کشاورزی، منابع آب، صنعت، توریسم، احداث و بهره برداری از سدها و نیز علم آبیاری حائز اهمیت می باشد. با استفاده از روش آماری مولفه اصلی principal component analysis, oca)) که در مطالعات هوا و اقلیم شناسی کاربد وسیعیدارد می توان داده های اقلیمی نظیر بارندگی در یک گسترده وسیع جغرافیایی را پهنه بندی کرده و نسبت به کاهش حجم داده ها اقدام نمو...
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