روش‌های متداول اندازه گیری آلاینده‌های هوای دارای خطا، نیازمند فضای نسبتا بزرگ و صرف هزینه‌های
بسیار کلان است، در حالی‌که می‌توان با استفاده از روش‌های جدیدی که توانایی یادگیری دارند از این …‎

Metropolitan air pollution is a growing concern in both developing and developed countries
because of its adverse impact on human health. Most countries have monitoring systems …

The increasing disparity between organ demand and supply is one of the biggest
challenges in the field of solid organ transplantation. Transplant centers and organ …

This work aims to use the sophisticated artificial intelligence and statistic techniques to
forecast pollution and assess its social impact. To achieve the target of the research, this …

Missing data are a common problem in raw data especially in air quality datasets.
Incomplete data due to machine or instruments failures, changes in the sitting air station …

K-means is a partitional clustering technique that is well known and widely used for its low
computational cost. However, the performance of K-means algorithm tends to be affected by …

In supervised learning, the distance or similarity measure is widely used in a lot of
classification algorithms. When calculating the categorical data similarity, the strategy used …

Multi-label classification is an extension of conventional classification in which a single
instance can be associated with multiple labels. Problems of this type are ubiquitous in …

Multi-label classification is an extension of conventional classification in which a single
instance can be associated with multiple labels. Problems of this type are ubiquitous in …

In Data mining and Knowledge Discovery hidden and valuable knowledge from the data
sources is discovered. The traditional algorithms used for knowledge discovery are bottle …