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## Workplace activity classification from shoe-based movement sensors.

*In BMC biomedical engineering *

**Background** :

**Results** :

**Conclusions** :

*Fridolfsson Jonatan, Arvidsson Daniel, Doerks Frithjof, Kreidler Theresa J, Grau Stefan*

*2020*

**Accelerometry, Occupational health, Physical activity, Workload**

## Predicting Network Controllability Robustness: A Convolutional Neural Network Approach.

*In IEEE transactions on cybernetics *

*Lou Yang, He Yaodong, Wang Lin, Chen Guanrong*

*2020-Sep-09*

## A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs.

*In Materials (Basel, Switzerland) *

^{2}) and root mean square error (RMSE), were utilized. The results obtained from the experiments indicated that the FS-RT model outperformed FS-RF and FS-CART models in terms of prediction accuracy. The range of R

^{2}and RMSE values were obtained as 0.9476-0.9831 and 14.4965-24.9310, respectively; in this regard, the FS-RT hybrid technique demonstrated the best performance. It was concluded that the three hybrid techniques proposed in this paper, i.e., FS-RT, FS-RF, and FS-CART, could be applied to predicting SFRC flat slabs.

*Lu Shasha, Koopialipoor Mohammadreza, Asteris Panagiotis G, Bahri Maziyar, Armaghani Danial Jahed*

*2020-Sep-03*

**feature selection, fiber-reinforced concrete, hybrid predictive models, punching shear capacity, tree model**

## Predicting the Time Period of Extension of Lockdown due to Increase in Rate of COVID-19 Cases in India using Machine Learning.

*In Materials today. Proceedings *

*Wadhwa Parth, Aishwarya Tripathi, Amrendra Singh, Prabhishek Diwakar, Manoj Kumar*

*2020-Aug-28*

**COVID-19, COVID-19 pandemic, Coronavirus India, Coronavirus pandemic, coronavirus, lockdown prediction**

## COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning

ArXiv Preprint

*Mauricio Arango, Lyudmil Pelov*

*2020-09-10*

## COVID-19 Pandemic Cyclic Lockdown Optimization Using Reinforcement Learning

ArXiv Preprint

*Mauricio Arango, Lyudmil Pelov*

*2020-09-10*

## Weekly Summary

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