نتایج جستجو برای: diagnosis and recommendation integrated system dris
تعداد نتایج: 17210169 فیلتر نتایج به سال:
A Study on the Contribution Factors and Challenges to the Implementation of E-Government in Cambodia
To this point, there have been few studies of e-Government in Cambodia. This study can be considered as a first step in the examination of e-Government in Cambodia. The paper examines the various factors that contribute and challenge the implementation of e-Government. These factors are grouped into three main categories: 1) management, 2) infrastructure, and 3) human factors. In the context of...
ارزیابی وضعیت تغذیه ای چغندرقند با استفاده از روش dris و مقایسه آن با روشdop در استان آذربایجان غربی
به منظور تعیین اعداد مرجع و شاخص های dris در چغندرقند(beta vulgaris l.) و مقایسه آنها با شاخص های dop، 57 نمونه برگ از مزارع چغندرقند در استان آذربایجان غربی جمع آوری و غلظت های عناصر غذایی n، p، k، ca، mg، fe، zn، mn، cu و b تعیین شدند. مزارع با توجه به مقدار عملکرد به دو گروه مزارع با عملکرد بالا و پایین تقسیم شدند. نرم ها و شاخص های dris محاسبه و دامنه کفایت غلظت عناصر غذایی پرنیاز و کم نیاز...
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
Recommendation systems have been integrated into the majority of large online systems to filter and rank information according to user profiles. It thus influences the way users interact with the system and, as a consequence, bias the evaluation of the performance of a recommendation algorithm computed using historical data (via offline evaluation). This paper presents a new application of a we...
This paper focuses on a semantically-enhanced Social Web Recommendation application, called Taste It! Try It! It is a mobile restaurants’ review and recommendation application based on a Linked Data source and integrated with a social network. The application is consuming Linked Data (while creating the reviews), producing semantic annotations (about the reviewed entities) and then, querying th...
<span>The integration of multi-agent system and blockchain technology can be beneficial to healthcare applications by providing intelligent data analysis with security. This paper presents an architecture that integrates learning support breast cancer diagnosis in a secured manner. The proposed is based on parallel hybrid fuzzy logic approach for supporting the prediction disease. showed ...
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