%0 Journal Article %1 journals/js/KimJYHLLH19 %A Kim, Sunghwan %A Jung, SeHee %A Yang, SeongMin %A Han, JiSeong %A Lee, ByungYong %A Lee, Jaehwa %A Han, Sung Won %D 2019 %J J. Sensors %K dblp %P 9673047:1-9673047:10 %T Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data. %U http://dblp.uni-trier.de/db/journals/js/js2019.html#KimJYHLLH19 %V 2019

@article{journals/js/KimJYHLLH19, added-at = {2020-10-23T00:00:00.000+0200}, author = {Kim, Sunghwan and Jung, SeHee and Yang, SeongMin and Han, JiSeong and Lee, ByungYong and Lee, Jaehwa and Han, Sung Won}, biburl = {https://www.bibsonomy.org/bibtex/2555211581e98ba3cca517ed45969b5fc/dblp}, ee = {https://doi.org/10.1155/2019/9673047}, interhash = {14684f1e3dc4e43c072bc8abe4e34ef3}, intrahash = {555211581e98ba3cca517ed45969b5fc}, journal = {J. Sensors}, keywords = {dblp}, pages = {9673047:1-9673047:10}, timestamp = {2020-10-24T11:34:48.000+0200}, title = {Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data.}, url = {http://dblp.uni-trier.de/db/journals/js/js2019.html#KimJYHLLH19}, volume = 2019, year = 2019 }