The quantitative relationships between the activity of zebrafish ZHE1 enzyme and a series of experimental and physicochemical features of 24 metal oxide nanoparticles were revealed. Vital characteristics of the nanoparticles' structure were reflected using both experimental and theoretical descriptors. The developed quantitative structure-activity relationship model for nanoparticles (nano-QSAR...

A hybrid feature selection (HFS) algorithm to obtain the optimal set attain forecast accuracy for short-term load forecasting (STLF) problems is proposed in this paper. The HFS employs an elitist genetic (EGA) and random forest method, which embedded online (FS). Using selected features, performance of forecaster was tested signify utility methodology. For this, a day-ahead STLF using M5P (a co...

در پژوهش حاضر، پس از مطالعه مبانی نظری کارت امتیازی متوازن و بررسی راه‌حل‌های ارائه‌شده برای بهبود کاربرد آن توسعه نقشه استراتژی اهداف استراتژیک که روشن‌کننده مسیر حرکت سازمان رشد دستیابی به سازمانی است، مدلی پیشنهاد می­شود تا با نگاهی نو کاربردی، روابط تعیین اولویت‌بندی شوند. این پژوهش، نقاط قوت ضعف فرصت‌ها تهدیدهای اولویت‌دار به‌عنوان معیارهای ارزیابی نظر گرفته‌ شده است؛ سپس استفاده تکنیک تاپ...

اخیراً داده‌ها در سازمان‌ها به دارایی ارزشمندی تبدیل شده‌اند و حاکمیت داده یکی از اولویت‌های شده است. بررسی مطالعات پیشین نشان می‌دهد که سنجش استقرار به‌صورت کیفی انجام می‌شود نمی‌توانند بر اساس این نوع برنامه‌ای را برای بهبود وضعیت خود تعیین کنند. هدف پژوهش، ارائه روشی کمّی سطح یک سازمان متعاقباً برنامه‌ریزی موجود با توجه ماهیت عوامل تأثیرگذار میزان مفاهیم فازی مدل‌سازی تحلیل استفاده است؛ همچنین ...

This study analyzes the lead time of bending operation in wind turbine tower manufacturing process. Since involves a significant amount employee interaction and parts processed are heavy voluminous, there is considerable variability recorded times. Therefore, machine learning regression analysis has been applied to Two algorithms have used: multivariate Linear Regression M5P method. The goal ga...

Using recycled aggregate in concrete is one of the best ways to reduce construction pollution and prevent exploitation natural resources provide needed aggregate. However, aggregates affect mechanical properties concrete, but existing information on subject less than what industry needs. Compressive strength, other hand, most important property concrete. Therefore, having predictive models requ...

BACKGROUND Despite the wealth of information carried, periodic brain monitoring data are often incomplete with a significant amount of missing values. Incomplete monitoring data are usually discarded to ensure purity of data. However, this approach leads to the loss of statistical power, potentially biased study and a great waste of resources. Thus, we propose to reuse incomplete brain monitori...

Rapid population growth, natural events, and increasing industrialization are among the factors affecting land use. To keep this change under control to make sound plans, it is necessary changes. In study, spatial use in Eskişehir region between years 1990-2018 was examined with CORINE data. Based on determined change, an urban model created multivariate regression method. As a result of evalua...