Search Results - "Gunturi, Venkata M.V."

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  1. 1

    Spatiotemporal Data Mining: A Computational Perspective by Shekhar, Shashi, Jiang, Zhe, Ali, Reem, Eftelioglu, Emre, Tang, Xun, Gunturi, Venkata, Zhou, Xun

    “…Explosive growth in geospatial and temporal data as well as the emergence of new technologies emphasize the need for automated discovery of spatiotemporal…”
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    Journal Article
  2. 2

    Scalable computational techniques for centrality metrics on temporally detailed social network by Gunturi, Venkata M. V., Shekhar, Shashi, Joseph, Kenneth, Carley, Kathleen M.

    Published in Machine learning (01-08-2017)
    “…Increasing proliferation of mobile and online social networking platforms have given us unprecedented opportunity to observe and study social interactions at a…”
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    Journal Article
  3. 3

    A Critical-Time-Point Approach to All-Departure-Time Lagrangian Shortest Paths by Gunturi, Venkata M. V., Shekhar, Shashi, KwangSoo Yang

    “…Given a spatio-temporal network, a source, a destination, and a desired departure time interval, the All-departure-time Lagrangian Shortest Paths (ALSP)…”
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    Journal Article
  4. 4

    Finding the most navigable path in road networks by Kaur, Ramneek, Goyal, Vikram, Gunturi, Venkata M. V.

    Published in GeoInformatica (2021)
    “…Input to the Most Navigable Path (MNP) problem consists of the following: (a) a road network represented as a directed graph, where each edge is associated…”
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    Journal Article
  5. 5

    A Matching Based Spatial Crowdsourcing Framework for Egalitarian Task Assignment by Kaur, Ramneek, Goyal, Vikram, Gunturi, Venkata M. V., Long, Cheng

    “…The ubiquity of mobile internet has led to the success of Spatial Crowdsourcing platforms like real-time taxi-hailing services, online food ordering services,…”
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    Conference Proceeding
  6. 6

    Experiences with evacuation route planning algorithms by Shekhar, Shashi, Yang, KwangSoo, Gunturi, Venkata M.V., Manikonda, Lydia, Oliver, Dev, Zhou, Xun, George, Betsy, Kim, Sangho, Wolff, Jeffrey M.R., Lu, Qingsong

    “…Efficient tools are needed to identify routes and schedules to evacuate affected populations to safety in the event of natural disasters. Hurricane Rita and…”
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    Journal Article
  7. 7

    Discovering non-compliant window co-occurrence patterns by Ali, Reem Y., Gunturi, Venkata M. V., Kotz, Andrew J., Eftelioglu, Emre, Shekhar, Shashi, Northrop, William F.

    Published in GeoInformatica (01-10-2017)
    “…Given a set of trajectories annotated with measurements of physical variables, the problem of Non-compliant Window Co-occurrence (NWC) pattern discovery aims…”
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    Journal Article
  8. 8

    Detecting activities at metro stations using smartphone sensors by Mongia, Aanchal, Gunturi, Venkata M. V., Naik, Vinayak

    “…Our paper aims to build a classification-model which delineates the typical motion-related activities performed at a metro station using smart phone sensors…”
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    Conference Proceeding
  9. 9

    Use of ECDF-based features and ensemble of classifiers to accurately detect mobility activities of people using accelerometers by Vij, Megha, Gunturi, Venkata M. V., Naik, Vinayak

    “…We look at the problem of using accelerometer in smartphones to detect mobility activities of users. The activities are internally composed of several simple…”
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    Conference Proceeding
  10. 10

    Lagrangian Approaches to Storage of Spatio-Temporal Network Datasets by KwangSoo Yang, Evans, Michael R., Gunturi, Venkata M. V., Kang, James M., Shekhar, Shashi

    “…Given a spatio-temporal network (STN) and a set of STN operations, the goal of the Storing Spatio-Temporal Networks (SSTN) problem is to produce an efficient…”
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    Journal Article
  11. 11

    Devising a Responsible Framework for Air Quality Sensor Placement by Westcarr, Jevon, Gunturi, Venkata M.V., Cabaneros, Sheen Mclean, Kureshi, Rameez Raja, Thakker, Dhavalkumar, Porter, Amanda

    “…Ahstract-A major challenge faced when developing smart, sustainable urban environments is the reduction of air pollutants that adversely impact citizens'…”
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    Conference Proceeding
  12. 12

    Deep Learning Models for NEAT Activity Detection on Smartwatch by Dewan, Ankita, Gunturi, Venkata M. V., Naik, Vinayak

    Published in 2023 IEEE Smart World Congress (SWC) (28-08-2023)
    “…Our goal of this research focuses on exploring deep learning classification models for recognizing and differentiating Non-Exercise Activity Thermogenesis…”
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    Conference Proceeding
  13. 13
  14. 14

    Discovering Spatial Regions of High Correlation by Agarwal, Prerna, Verma, Richa, Gunturi, Venkata M. V.

    “…Given a set of events of two different types (e.g. locations of crime incidents/road accidents) in geographic space and minimum density and area thresholds,…”
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    Conference Proceeding