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  1. %% This BibTeX bibliography file was created using BibDesk.
  2. %% http://bibdesk.sourceforge.net/
  3.  
  4.  
  5. %% Created for Lauro Cesar Araujo at 2013-08-21 10:57:09 -0300
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  7.  
  8. %% Saved with string encoding Unicode (UTF-8)
  9.  
  10.  
  11. @book{alford2007optimisation,
  12.  title={Optimisation in underground mining},
  13.  author={Alford, Christopher and Brazil, Marcus and Lee, David H},
  14.  booktitle={Handbook of operations research in natural resources},
  15.  pages={561-577},
  16.  year={2007},
  17.  publisher={Springer}
  18. }
  19.  
  20. @book{zaki2014data,
  21.  title={Data mining and analysis: fundamental concepts and algorithms},
  22.  author={Zaki, Mohammed J and Meira Jr, Wagner and Meira, Wagner},
  23.  year={2014},
  24.  publisher={Cambridge University Press}
  25. }
  26.  
  27. @article{rendu,
  28.  title={Proceedings Orebody Modelling and Strategic Mine Planning},
  29.  author={J-M. Rendu},
  30.  year={2004},
  31.  publisher={Conference Proceedings SMP 2014},
  32.  journaltitle={Conference Proceedings SMP}
  33. }
  34.  
  35. @article{estimatingvehicle,
  36.  title={Estimating Vehicle Movement Direction from Smartphone Accelerometers Using Deep Neural Networks},
  37.  author={{HERNANDEZ} Sanchez S., {FERNANDEZ} Pozo R., {HERNANDEZ GOMEZ} L.},
  38.  year={2018},
  39.  publisher={Sensors (Basel)},
  40.  journaltitle={Sensors (Basel). 2018;18(8):2624.}
  41. }
  42.  
  43. @article{largescale,
  44.  title={Large scale transport mode classification from mobile sensor data},
  45.  author={{STAVRIANOS} S},
  46.  year={2017},
  47.  publisher={Sentiance at https://www.sentiance.com/2017/12/04/transport-mode-classification/},
  48.  journaltitle={Sentiance}
  49. }
  50.  
  51. @article{datafusion,
  52.  title={Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living},
  53.  author={PIRES, Ivan Miguel et al.},
  54.  year={2017},
  55.  publisher={arXiv preprint arXiv},
  56.  doi={1711.07328},
  57.  journaltitle={arXiv}
  58. }
  59.  
  60. @article{identification,
  61.  title={Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices},
  62.  author={PIRES, Ivan Miguel et al.},
  63.  year={2018},
  64.  publisher={Pervasive and Mobile Computing v. 47},
  65.  pages={78-93},
  66.  journaltitle={Pervasive and Mobile Computing}
  67. }
  68.  
  69. @article{conv,
  70. author={X. {LIANG} and G. {WANG}},
  71. booktitle={2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)},
  72. title={A Convolutional Neural Network for Transportation Mode Detection Based on Smartphone Platform},
  73. year={2017},
  74. volume={},
  75. number={},
  76. pages={338-342},
  77. keywords={accelerometers;mobile computing;neural nets;smart phones;transportation;automatic transportation mode detection;energy-efficient transportation mode detection application;convolutional neural network;transportation modes;smartphone platform;urban transportation planning;accelerometer sensor;Transportation;Acceleration;Gravity;Accelerometers;Neural networks;Smoothing methods;Mobile communication;transportation mode detection;accelerometer;deep learning},
  78. doi={10.1109/MASS.2017.81},
  79. ISSN={2155-6814},
  80. month={Oct}}
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