S
Sonia Khetarpaul
Researcher at Shiv Nadar University
Publications - 20
Citations - 98
Sonia Khetarpaul is an academic researcher from Shiv Nadar University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 4, co-authored 15 publications receiving 72 citations. Previous affiliations of Sonia Khetarpaul include Indian Institute of Technology Delhi & Indian Institutes of Technology.
Papers
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Proceedings ArticleDOI
Mining GPS data to determine interesting locations
TL;DR: This paper aims to analyze aggregate GPS information of multiple users to mine a list of interesting locations and rank them, and shows the results of applying the methods on a large real life GPS dataset of sixty two users collected over a period of two years.
Book ChapterDOI
Bus Arrival Time Prediction Using a Modified Amalgamation of Fuzzy Clustering and Neural Network on Spatio-Temporal Data
TL;DR: A dynamic model that can provide prediction for the estimated arrival time of a bus at a given bus stop using Global Positioning System (GPS) data is presented and it is shown that the method is effective in stated conditions.
Journal ArticleDOI
SHEG: summarization and headline generation of news articles using deep learning
TL;DR: This paper proposes a novel methodology known as SHEG, which works by integrating both extractive and abstractive mechanisms using a pipelined approach to produce a concise summary, which is then used for headline generation.
Proceedings ArticleDOI
Mining GPS traces to recommend common meeting points
TL;DR: This paper presents a solution that identifies a common meeting point for a group of users who have temporal and spatial locality constraints that vary over time and uses daily movements information obtained from GPS traces for each user to compute stay points during various times of the day.
Proceedings ArticleDOI
Object and Currency Detection with Audio Feedback for Visually Impaired
Kanchi Kedar Sai Nadh Reddy,Challa Yashwanth,SreeHarsha Kvs,Pavan Anvesh Tamidala Venkata Sai,Sonia Khetarpaul +4 more
TL;DR: A module for blind people to identify and match items scanned to a list of objects, such as currency notes, person and bottle, and the angle and distance of the object being detected from the camera is developed.