dr. D.V. Le Viet Duc (Duc)

Sensors

Animals

Classifiers

Smartphones

Experiments

Acoustic Waves

Problem-Based Learning

Feature Extraction

Seizures

Patents And Inventions

Predictions

Problem-Based Learning

Ubiquitous Computing

Dirichlet Process

Heuristics

Sensor Networks

Testing

Problem-Based Learning

Pipe

Adaptive Systems

Context

Sampling

Uncertainty

Communication

Mobile Phones

Community

Adaptive Systems

Seizures

Learning

Reinforcement Learning

Network Protocols

Body Sensor Networks

Faculteit Elektrotechniek, Wiskunde en Informatica (EWI), Pervasive Systems (PS)

Karuppiah Ramachandran, V. R., Alblas, . H. J., Le Viet Duc, D. V., & Meratnia, N. (2018). Towards an Online Seizure Advisory System—An Adaptive Seizure Prediction Framework Using Active Learning Heuristics. Sensors (Switserland), 18(6), [1698]. DOI: 10.3390/s18061698

Kamminga, J. W., Le Viet Duc, D. V., Meijers, J. P., Bisby, H. C., Meratnia, N., & Havinga, P. J. M. (2018). Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1), [15]. DOI: 10.1145/3191747

Le, D. V., Nguyen, T., Scholten, H., & Havinga, P. J. M. (2017). Symbiotic Sensing for Energy-Intensive Tasks in Large-Scale Mobile Sensing Applications. Sensors (Switserland), 17(12), [2763]. DOI: 10.3390/s17122763

Nguyen, T., Le Viet Duc, D. V., Zhang, Q., & Karunanithi, M. (2017). Dirichlet Process Gaussian Mixture Model for Activity Discovery in Smart Homes with Ambient Sensors. In EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous)

Le Viet Duc, D. V., & Havinga, P. J. M. (2017). SoLoc: Self-organizing indoor localization for unstructured and dynamic environments. In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) IEEE. DOI: 10.1109/IPIN.2017.8115900

Nguyen, N. D. T., Le, D. V., Meratnia, N., & Havinga, P. J. M. (2017). In-Pipe Wireless Communication for Underground Sampling and Testing. In 2017 IEEE Global Communications Conference GLOBECOM 2017 DOI: 10.1109/GLOCOM.2017.8254524

Kamminga, J. W., Bisby, H. C., Le, D. V., Meratnia, N., & Havinga, P. J. M. (2017). Generic online animal activity recognition on collar tags. In UbiComp'17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 597-606). New York, NY: ACM Press. DOI: 10.1145/3123024.3124407

Karuppiah Ramachandran, V. R., Le Viet Duc, L. D., Meratnia, N., & Havinga, P. J. M. (2017). DiNAMAC: A disruption tolerant, reinforcement learning-based Mac protocol for implantable body sensor networks. 1806-1814. Paper presented at 3rd IEEE International Conference on Internet of People 2017, San Francisco, United States.

Nguyen, T., Nguyen, V., Salim, F., Le Viet Duc, L. D., & Phung, D. (2017). A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive and Mobile Computing, 38, 396-417. DOI: 10.1016/j.pmcj.2016.08.019

Kamminga, J. W., Le Viet Duc, L. D., & Havinga, P. J. M. (2016). Ambient Sound-Based Collaborative Localization of Indeterministic Devices. Sensors (Switserland), 16(9), 1478. DOI: 10.3390/s16091478

Le Viet Duc, L. D. (2016). SYMBIOTIC SENSING: Exploring and Exploiting Cooperative Sensing in Heterogeneous Sensor Networks Enschede: Centre for Telematics and Information Technology (CTIT) DOI: 10.3990/1.9789036541855

van Kleunen, W. A. P., Le Viet Duc, L. D., & Havinga, P. J. M. (2016). Calibration-Free Signal-Strength Localization using Product-Moment Correlation. In Proceedings of the 13th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS 2016) (pp. 210-218). USA: IEEE Computer Society. DOI: 10.1109/MASS.2016.17

Le Viet Duc, D. V., Kamminga, J. W., Scholten, J., & Havinga, P. J. M. (2016). Error Bounds for Localization with Noise Diversity. In V. D. Le (Ed.), 2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) (pp. 83-92). IEEE Communications Society. DOI: 10.1109/DCOSS.2016.18

Le Viet Duc, D. V., Kamminga, J. W., Scholten, J., & Havinga, P. J. M. (2016). Nondeterministic Sound Source Localization with Smartphones in Crowdsensing. In V. D. Le, & L. D. Le Viet Duc (Eds.), Proceedings of the 5th CoSDEO workshop on Contact-Free Ambient Sensing, Localization and Tracking, CoSDEO 2016 (pp. 279-285). USA: IEEE Computer Society. DOI: 10.1109/PERCOMW.2016.7457115

Le Viet Duc, L. D., Scholten, J., Havinga, P. J. M., & Ngo, H. (2014). Location-based data dissemination with human mobility using online density estimation. In Eleventh Annual IEEE Consumer Communications & Networking Conference, CCNC 2014 (pp. 450-457). USA: IEEE Computer Society. DOI: 10.1109/CCNC.2014.6866609

Le Viet Duc, D. V., Scholten, J., & Havinga, P. J. M. (2014). Online Change Detection for Energy-Efficient Mobile Crowdsensing. In I. Awan, M. Younas, X. Franch, & C. Quer (Eds.), Mobile Web Information Systems: 11th International Conference on Mobile Web and Information Systems, MobiWIS 2014 (pp. 1-16). (Lecture Notes in Computer Science; Vol. 8640). London: Springer. DOI: 10.1007/978-3-319-10359-4_1

Le Viet Duc, L. D., Scholten, J., & Havinga, P. J. M. (2013). FLEAD: online frequency likelihood estimation anomaly detection for mobile sensing. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '13 (pp. 1159-1166). New York: Association for Computing Machinery. DOI: 10.1145/2494091.2499774

Le Viet Duc, L. D. (2013). Distributed Opportunistic Sensing in Mobile Phone Sensor Networks. In IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) (pp. 427-428). USA: IEEE Communications Society. DOI: 10.1109/PerComW.2013.6529535

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