Author(s): Vu HL; Ng KTW; Richter A; An C;

The use of machine learning techniques in waste management studies is increasingly popular. Recent literature suggests k-fold cross validation may reduce input dataset partition uncertainties and minimize overfitting issues. The objectives are to quantify the benefits of k-fold cross validation for municipal waste disposal prediction and to identify the r ...

Article GUID: 35287077

Author(s): Fekri P; Dargahi J; Zadeh M;

[This corrects the article DOI: 10.3389/frobt.2020.586707.].

Article GUID: 34026860

Author(s): Fekri P, Dargahi J, Zadeh M

Having a trusted and useful system that helps to diminish the risk of medical errors and facilitate the improvement of quality in the medical education is indispensable. Thousands of surgical errors are occurred annually with high adverse event rate, despite inordinate number of devised patients safety initiatives. Inadvertently or otherwise, surgeons pla ...

Article GUID: 33553246