Detection Model for Seepage Behavior of Earth Dams Based on Data Mining

application of upfc based on svpwm for power quality improvement

در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...

Presenting a Model for Predicting Tax Evasion of Guilds Based on Data Mining Technique

In this research, considering the importance of the topic and the gap in previous researches, a model for predicting tax evasion of guilds based on data mining technique is presented. The analyzed data includes the review of 5600 tax files of all trades with tax codes in Qazvin province during the years 2013-2018. The tax file related to guilds is in five tax groups, including the guild group o...

Evaluation of Data Mining Algorithms for Detection of Liver Disease

Background and Aim: The liver, as one of the largest internal organs in the body, is responsible for many vital functions including purifying and purifying blood, regulating the body's hormones, preserving glucose, and the body. Therefore, disruptions in the functioning of these problems will sometimes be irreparable. Early prediction of these diseases will help their early and effective treatm...

Two and Three-Dimensional Seepage Analysis of Earth Dams Considering Horizontal Filter Blanket Effects (RESEARCH NOTE)

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...