All Outputs (6)

NEAT Activity Detection using Smartwatch (2024)
Journal Article
Dewan, A., Gunturi, V., & Naik, V. (2024). NEAT Activity Detection using Smartwatch. International Journal of Ad Hoc and Ubiquitous Computing, 45(1), 36-51. https://doi.org/10.1504/IJAHUC.2024.136141

This paper presents a system for distinguishing non-exercise activity thermogenesis (NEAT) and non-NEAT activities at home. NEAT includes energy expended on activities apart from sleep, eating, or traditional exercise. Our study focuses on specific N... Read More about NEAT Activity Detection using Smartwatch.

Finding the most navigable path in road networks (2021)
Journal Article
Kaur, R., Goyal, V., & Gunturi, V. M. (2021). Finding the most navigable path in road networks. GeoInformatica, 25(1), 207-240. https://doi.org/10.1007/s10707-020-00428-5

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 with numeric attributes of cost and “navigability score” values; (b) a source and a destinatio... Read More about Finding the most navigable path in road networks.

Discovering non-compliant window co-occurrence patterns (2017)
Journal Article
Ali, R. Y., Gunturi, V. M., Kotz, A. J., Eftelioglu, E., Shekhar, S., & Northrop, W. F. (2017). Discovering non-compliant window co-occurrence patterns. GeoInformatica, 21(4), 829-866. https://doi.org/10.1007/s10707-016-0289-3

Given a set of trajectories annotated with measurements of physical variables, the problem of Non-compliant Window Co-occurrence (NWC) pattern discovery aims to determine temporal signatures in the explanatory variables which are highly associated wi... Read More about Discovering non-compliant window co-occurrence patterns.

Scalable computational techniques for centrality metrics on temporally detailed social network (2016)
Journal Article
Gunturi, V. M., Shekhar, S., Joseph, K., & Carley, K. M. (2017). Scalable computational techniques for centrality metrics on temporally detailed social network. Machine Learning, 106(8), 1133-1169. https://doi.org/10.1007/s10994-016-5583-7

Increasing proliferation of mobile and online social networking platforms have given us unprecedented opportunity to observe and study social interactions at a fine temporal scale. A collection of all such social interactions among a group of individ... Read More about Scalable computational techniques for centrality metrics on temporally detailed social network.

Spatiotemporal data mining: A computational perspective (2015)
Journal Article
Shekhar, S., Jiang, Z., Ali, R. Y., Eftelioglu, E., Tang, X., Gunturi, V. M., & Zhou, X. (2015). Spatiotemporal data mining: A computational perspective. ISPRS International Journal of Geo-Information, 4(4), 2306-2338. https://doi.org/10.3390/ijgi4042306

Explosive growth in geospatial and temporal data as well as the emergence of new technologies emphasize the need for automated discovery of spatiotemporal knowledge. Spatiotemporal data mining studies the process of discovering interesting and previo... Read More about Spatiotemporal data mining: A computational perspective.

A Critical-Time-Point Approach to All-Departure-Time Lagrangian Shortest Paths (2015)
Journal Article
Gunturi, V. M., Shekhar, S., & Yang, K. (2015). A Critical-Time-Point Approach to All-Departure-Time Lagrangian Shortest Paths. IEEE Transactions on Knowledge and Data Engineering, 27(10), 2591-2603. https://doi.org/10.1109/TKDE.2015.2426701

Given a spatiooral network, a source, a destination, and a desired departure time interval, the All-departure-time Lagrangian Shortest Paths (ALSP) problem determines a set which includes the shortest path for every departure time in the given interv... Read More about A Critical-Time-Point Approach to All-Departure-Time Lagrangian Shortest Paths.