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Fingerprint Dive into the research topics where Yu-Dong Yao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Cognitive radio Engineering & Materials Science
Throughput Engineering & Materials Science
Fading channels Engineering & Materials Science
Outages Engineering & Materials Science
Code division multiple access Engineering & Materials Science
Beamforming Engineering & Materials Science
Rayleigh fading Engineering & Materials Science
Antennas Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1986 2019

A novel framework for the NMF methods with experiments to unmixing signals and feature representation

Teng, Y., Yao, Y-D., Qi, S., Li, C., Xu, L., Qian, W., Fan, F. & Wang, G., Dec 15 2019, In : Journal of Computational and Applied Mathematics. 362, p. 205-218 14 p.

Stevens Institute of Technology

Research output: Contribution to journalArticle

Factorization Method
Matrix Factorization
Matrix Method
Factorization
Divergence
1 Citation (Scopus)

A review on low-dimensional physics-based models of systemic arteries: Application to estimation of central aortic pressure

Zhou, S., Xu, L., Hao, L., Xiao, H., Yao, Y., Qi, L. & Yao, Y-D., Apr 2 2019, In : BioMedical Engineering Online. 18, 1, 41.

Stevens Institute of Technology

Research output: Contribution to journalReview article

Open Access
Physics
Arterial Pressure
Arteries
Viscosity
Hemodynamics

A Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

Li, C., Xue, D., Hu, Z., Chen, H., Yao, Y-D., Zhang, Y., Li, M., Wang, Q. & Xu, N., Jan 1 2019, Information Technology in Biomedicine, 2019. Pietka, E., Badura, P., Kawa, J. & Wieclawek, W. (eds.). Springer Verlag, p. 222-233 12 p. (Advances in Intelligent Systems and Computing; vol. 1011).

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image analysis
Neural networks
Learning systems
Learning algorithms
Deep neural networks

BLE Neighbor Discovery Parameter Configuration for IoT Applications

Luo, B., Xiang, F., Sun, Z. & Yao, Y-D., Jan 1 2019, In : IEEE Access. 7, p. 54097-54105 9 p., 8694777.

Stevens Institute of Technology

Research output: Contribution to journalArticle

Bluetooth
Energy utilization
Sensors
Internet of things
Costs

Cellular system identification using deep learning: GSM, UMTS and LTE

Alshathri, K., Xia, H., Lawrence, V. & Yao, Y-D., May 1 2019, 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8770700. (2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings).

Stevens Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3G mobile communication systems
system identification
local thermodynamic equilibrium
Global system for mobile communications
learning