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

  • 22 Similar Profiles
Fog Engineering & Materials Science
Monitoring Engineering & Materials Science
Health Engineering & Materials Science
Industry Engineering & Materials Science
Enterprise resource planning Engineering & Materials Science
Augmented reality Engineering & Materials Science
Electrocardiography Engineering & Materials Science
Consolidation Engineering & Materials Science

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Research Output 2011 2019

  • 74 Citations
  • 5 h-Index
  • 5 Conference proceeding
  • 5 Article
  • 1 Chapter
7 Citations (Scopus)
6 Downloads (Pure)

CPS Data Streams Analytics based on Machine Learning for Cloud and Fog Computing: A Survey

Fei, X., Shah, N., Verba, N., Chao, K-M., Sanchez-Anguix, V., Lewandowski, J., James, A. & Usman, Z., Jan 2019, In : Future Generation Computer Systems. 90, p. 435-450 16 p.

Research output: Contribution to journalArticle

Open Access
File
Fog
Learning systems
Feedback
Decision making
Monitoring
5 Citations (Scopus)
Open Access
File
Fog
Industry
Virtual reality
Containers
Communication
94 Downloads (Pure)

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

Open Access
File
Health
Monitoring
Sensors
Animals
Smartphones
5 Citations (Scopus)

Graph Analysis of Fog Computing Systems for Industry 4.0

Verba, N., Chao, K. M., James, A., Lewandowski, J., Fei, X. & Tsai, C. F., 22 Nov 2017, Proceedings - 14th IEEE International Conference on E-Business Engineering, ICEBE 2017 - Including 13th Workshop on Service-Oriented Applications, Integration and Collaboration, SOAIC 207. Institute of Electrical and Electronics Engineers Inc., p. 46-53 8 p. 8119129

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

Fog
Industry
Redundancy
Industrial plants
Graph
34 Downloads (Pure)

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

Lin, S-Y., Chiu, Y-C., Lewandowski, J. & Chao, K-M., 30 Jan 2017, In : Journal of Intelligent & Fuzzy Systems. 32, 2, p. 1413-1426

Research output: Contribution to journalArticle

Open Access
File
Concept Drift
Data-driven
Prediction
Model
MapReduce