Computation and communication efficient approach for federated learning based urban sensing applications against inference attacks

A Kapoor, D Kumar - Pervasive and Mobile Computing, 2024 - Elsevier
Federated learning based participatory sensing has gained much attention lately for the vital
task of urban sensing due to privacy and security issues in conventional machine learning …

[HTML][HTML] Identifying earthquake swarms at Mt. Ruapehu, New Zealand: a machine learning approach

S Mitchinson, JH Johnson, B Milner… - Frontiers in Earth Science, 2024 - frontiersin.org
Mt. Ruapehu is an active andesitic stratovolcano, consisting of several peaks with the
summit plateau at 2,797 m, making it the tallest active volcano in New Zealand. The extent of …

Personalized hybrid recommendation for tourist users based on matrix cluster apriori mining algorithm

Q Zhang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
With the rapid development of Internet technology and the arrival of the era of big data, the
rapid expansion of network information resources has formed massive information. Massive …

[PDF][PDF] Clustering Algorithms to Analyse Smart City Traffic Data.

PK MK, DH Manjaiah, KM Ashwini - International Journal of …, 2024 - saiconference.com
Urban transportation systems encounter significant challenges in extracting meaningful
traffic patterns from extensive historical datasets, a critical aspect of smart city initiatives. This …

On-device Deep Learning Location Category Inference Model

G Musaev, K Mets, R Tamošiūnas, V Uvarov… - Benelux Conference on …, 2022 - Springer
Abstract We define Location Category Inference (LCI) as a task of predicting the category of
a visited venue, such as bar, restaurant or university, given user location GPS coordinates …