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Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search

Author(s): Alicia Estefania Antonio Figueroa

This work implements deep learning models to capture non-linear and complex data behavior in aluminum price data. Deep learning models include the long short-term memory (LSTM) and deep feedforward neural networks (FFNN). The support vector regression (SVR) is employed as a base model for comparison. Each predictive model is tuned by using two different o ...

Article GUID: 41751647


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, despite inordinate number of devised patients safety initiatives. Inadvertently or otherwise, surgeons pla ...

Article GUID: 33553246


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