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Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation

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 t ...

Article GUID: 35287077


Corrigendum: Deep Learning-Based Haptic Guidance for Surgical Skills Transfer

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

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

Article GUID: 34026860


Deep Learning-Based Haptic Guidance for Surgical Skills Transfer.

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, despit ...

Article GUID: 33553246


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