Theo dõi
Thor Siiger Prentow
Thor Siiger Prentow
PhD Student, Aarhus University
Email được xác minh tại prentow.dk
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition
A Stisen, H Blunck, S Bhattacharya, TS Prentow, MB Kjærgaard, A Dey, ...
Proceedings of the 13th ACM conference on embedded networked sensor systems …, 2015
8952015
Analysis methods for extracting knowledge from large-scale wifi monitoring to inform building facility planning
AJ Ruiz-Ruiz, H Blunck, TS Prentow, A Stisen, MB Kjærgaard
2014 IEEE International Conference on Pervasive Computing and Communications …, 2014
1402014
Spatio-temporal facility utilization analysis from exhaustive wifi monitoring
TS Prentow, AJ Ruiz-Ruiz, H Blunck, A Stisen, MB Kjærgaard
Pervasive and Mobile Computing 16, 305-316, 2015
512015
Indoor Positioning using Wi-Fi: How Well Is the Problem Understood?
MB Kjærgaard, MV Krarup, A Stisen, TS Prentow, H Blunck, K Grønbæk, ...
292013
Towards indoor transportation mode detection using mobile sensing
TS Prentow, H Blunck, MB Kjærgaard, A Stisen
International conference on mobile computing, applications, and services …, 2015
192015
Making sense of trajectory data in indoor spaces
T Prentow, A Thom, H Blunck, J Vahrenhold
2015 16Th IEEE International Conference on Mobile Data Management 1, 116-121, 2015
192015
Activity recognition on smart devices: Dealing with diversity in the wild
H Blunck, S Bhattacharya, A Stisen, TS Prentow, MB Kjærgaard, A Dey, ...
GetMobile: Mobile Computing and Communications 20 (1), 34-38, 2016
182016
Estimating common pedestrian routes through indoor path networks using position traces
TS Prentow, H Blunck, K Grønbæk, MB Kjærgaard
2014 IEEE 15th International Conference on Mobile Data Management 1, 43-48, 2014
162014
Heterogeneity activity recognition
H Blunck, S Bhattacharya, T Prentow, M Kjrgaard, A Dey
UCI Machine Learning Repository 10, C5689X, 2015
152015
Task phase recognition for highly mobile workers in large building complexes
A Stisen, A Mathisen, H Blunck, MB Kjærgaard, TS Prentow
2016 IEEE International Conference on Pervasive Computing and Communications …, 2016
122016
Accurate estimation of indoor travel times: learned unsupervised from position traces
TS Prentow, H Blunck, A Stisen, MB Kjærgaard, K Grønbæk
International Conference on IoT in Urban Space, 90-99, 2014
72014
Task phase recognition and task progress estimation for highly mobile workers in large building complexes
A Stisen, H Blunck, MB Kjærgaard, TS Prentow, A Mathisen, S Sørensen, ...
Pervasive and Mobile Computing 38, 418-429, 2017
32017
MITM attacks on SSL/TLS related to renegotiation
TS Prentow, MV Krarup
TLS Related to Renegotiation, 2009
32009
Deviation maps for robust and informed indoor positioning services
H Blunck, TS Prentow, S Temme, A Thom, J Vahrenhold
SIGSPATIAL Special 9 (1), 27-34, 2017
22017
Spatio-Temporal Analysis of Human Activities in Indoor Environments through Mobile Sensing: With Applications in Large-Scale Hospital Service Logistics
TS Prentow
Department of Computer Science, Aarhus University, 2015
12015
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