Shubhi Harbola

Shubhi Harbola

Data Scientist and ML Engineer. Ph.D. : University of Stuttgart, Germany. M.Tech: Indian Institute of Technology Kanpur (IITK) India

Journal articles

Published:

  1. Harbola, S., Coors, V., 2019. Air Quality Temporal Analyser: Interactive Temporal Analyses with Visual Predictive Assessments. In TheWorkshop on Visualisation in Environmental Sciences (EnvirVis) (2021).

  2. Harbola, S., Coors, V., 2019. Convolutional Neural Network Architectures for Wind Analysis . In The EAWE PhD Seminar 2019 29-31 Oct 2019 Nantes (France).

  3. Harbola, S., Coors, V., 2019. SEASONALITY DEDUCTION PLATFORM: FOR PM 10, PM 2.5, NO, NO 2 AND O 3 IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY. In The International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals).

  4. Harbola, S., Coors, V., 2019. One dimensional convolutional neural network architectures for wind prediction. In Energy and Management (pp. 275-289). Elsevier, 195, pp.70-75.

  5. Harbola, S., Coors, V., 2019. Comparative analysis of LSTM, RF and SVM Architectures for Predicting Wind Nature for smart city planning . In The International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals).

  6. Harbola, S., Coors, V., 2018. Geo-Visualisation and Visual Analytics for Smart Cities: A Survey. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives).

  7. Harbola, S., Lohani, B., 2016. A NOVEL APPROACH FOR ESTIMATING HORIZONTAL ACCURACY OF LiDAR DATA. In M.Tech Thesis at IITKanpur.