Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Tanzima Hashem"'
Autor:
Nenad Radosevic, Matt Duckham, Mohammad Saiedur Rahaman, Serene Ho, Katherine Williams, Tanzima Hashem, Yaguang Tao
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1607-1639 (2023)
Data Trusts are an important emerging approach to enabling the much wider sharing of data from many different sources and for many different purposes, backed by the confidence of clear and unambiguous data governance. Data Trusts combine the technica
Externí odkaz:
https://doaj.org/article/19a91316e1724a02ab322819019a3447
Publikováno v:
Journal of Spatial Information Science. :27-52
We introduce a representative dissimilar path (RDP) query, a novel type of path query in road networks. The k representative paths (RPs) between a source and a destination locations have k smallest costs for a feature (e.g., length, number of road in
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-15
Autor:
Khandker Aftarul Islam, Tanzima Hashem, Mohammed Eunus Ali, Tasin Ishmam, Aniruddha Ganguly, Madhusudan Basak, Nusrat Jahan, Sajida Rahman Danny
Publikováno v:
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII).
Publikováno v:
SSDBM
In this paper, we propose an iterative approach to estimate the frequent itemsets with high accuracy while satisfying the local differential privacy (LDP). The key component behind the improved accuracy of the estimated frequent itemsets by our appro
Autor:
Mehnaz Tabassum Mahin, Tanzima Hashem
Publikováno v:
ACM Transactions on Spatial Algorithms and Systems. 5:1-41
In recent years, ridesharing has become a popular model that enables users to share their rides with others. In this article, we introduce a novel ridesharing service, an Activity-aware Ridesharing Group Trip Planning (ARGTP) query , in road networks
Publikováno v:
Information Systems. 84:145-173
Given the source and destination locations of n group members and a set of required point of interest (POI) types such as restaurants and shopping centers, a Group Trip Scheduling (GTS) query schedules n individual trips such that each POI type is in
Publikováno v:
Journal of Information Processing. 27:624-642
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:1-25
We propose a novel approach for enabling trustworthy, privacy-enhanced and personalised location based services (LBSs) that find nearby points of interests (POIs) such as restaurants, ATM booths, and hospitals in a crowdsourced manner. In our crowdso