Dunstan Matekenya

发表

BS-6-35 Event Detection in Individuals Using Mobile Phone Traces(BS-6.Network and service Design, Control and Management)

Ryosuke Shibasaki, Kaoru Sezaki, Yoshito Tobe, 2014 .

BS-1-4 Energy Efficient Sensing with Spatio-temporal Prediction(BS-1. Future Network Technologies for Advanced Information and Communications Society)

Kaoru Sezaki, Masaki Ito, Dunstan Matekenya, 2014 .

Comparative Perspective of Human Behavior Patterns to Uncover Ownership Bias among Mobile Phone Users

Ryosuke Shibasaki, Ayumi Arai, Zipei Fan, 2016, ISPRS Int. J. Geo Inf..

MoveSense: spatio-temporal Clustering Technique for Discovering Residence Change in Mobile Phone Data

Ryosuke Shibasaki, Kaoru Sezaki, Yoshito Tobe, 2015, IWGS.

Enhancing location prediction with big data: evidence from dhaka

Ryosuke Shibasaki, Kaoru Sezaki, Masaki Ito, 2016, UbiComp Adjunct.

Beyond horizontal location context: measuring elevation using smartphone's barometer

Kaoru Sezaki, Yoshito Tobe, Masaki Ito, 2014, UbiComp Adjunct.

Communal Parameters: A Study into Using Community-wide Learned Prediction Models in Individual Users

Ryosuke Shibasaki, Kaoru Sezaki, Masaki Ito, 2016, Urb-IoT.

Abstract - Challenges and Opportunities in Accessing Mobile Phone Data for COVID-19 Response in Developing Countries

Dunstan Matekenya, Sveta Milusheva, Anat Lewin, 2021, COMPASS.

Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone

Dunstan Matekenya, Xavier Espinet Alegre, Fatima Arroyo Arroyo, 2021 .