Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 18 Similar Profiles
Monitoring Engineering & Materials Science
Health Engineering & Materials Science
Sensors Engineering & Materials Science
Enterprise resource planning Engineering & Materials Science
Electrocardiography Engineering & Materials Science
Students Engineering & Materials Science
Industry Engineering & Materials Science
Augmented reality Engineering & Materials Science

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Research Output 2011 2017

  • 4 Conference proceeding
  • 3 Article
  • 1 Chapter

Design Concepts and Operation Principles for Smart Intra-Vaginal Health Monitoring Devices

Lewandowski, J., Chao, K-M. & Niżański, W. 9 Jan 2017 2016 IEEE 13th International Conference on e-Business Engineering (ICEBE). Guo, J., Cai, H., Fei, X., Chao, K-M. & Chung, J-Y. (eds.). IEEE, p. 151-157 7 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Sensors
Temperature
Animals
Health
Smartphones

Deadlock-free migration for virtual machine consolidation using Chicken Swarm Optimization algorithm

Tian, F., Zhang, R., Lewandowski, J., Chao, K-M., Li, L. & Dong, B. 17 Nov 2016 In : Journal of Intelligent & Fuzzy Systems. 32, 2, p. 1389-1400 11 p.

Research output: Contribution to journalArticle

Consolidation
Energy utilization

Parallel dynamic data-driven model for concept drift detection and prediction

Lin, S-Y., Chiu, Y-C., Lewandowski, J. & Chao, K-M. 23 Dec 2016 In : Journal of Intelligent & Fuzzy Systems. 32, 2, p. 1413-1426

Research output: Contribution to journalArticle

Normal distribution
Data reduction
Feedback
Big data
6 Citations

Logic-centred architecture for ubiquitous health monitoring

Lewandowski, J., Arochena, H., Naguib, R., Chao, K-M. & Garcia-Perez, A. Sep 2014 In : IEEE Journal of Biomedical and Health Informatics. 18, 5, p. 1525-1532

Research output: Contribution to journalArticle

Health
Equipment and Supplies
Software
Inference engines
Mobile devices
11 Citations

SaaS enterprise resource planning systems: Challenges of their adoption in SMEs

Lewandowski, J., Salako, A. O. & Garcia-Perez, A. 2013 Proceedings - 2013 IEEE 10th International Conference on e-Business Engineering, ICEBE 2013. James, A., Fei, X., Chao, . K-M. & Chung, J-Y. (eds.). IEEE Computer Society, p. 56-61 6 p. 6686242

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

Enterprise resource planning
Industry
Costs
Profitability