Research Output per year
Fingerprint Dive into the research topics where Michelle Mancenido is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 3 Similar Profiles
Design of experiments
Engineering & Materials Science
Logistics
Engineering & Materials Science
Sieves
Engineering & Materials Science
Fragrances
Engineering & Materials Science
Statistics
Engineering & Materials Science
Degradation
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Experiments
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2012 2019
Comparing D-optimal designs with common mixture experimental designs for logistic regression
Mancenido, M., Pan, R., Montgomery, D. & Anderson-Cook, C. M., Apr 15 2019, In : Chemometrics and Intelligent Laboratory Systems. 187, p. 11-18 8 p.Research output: Contribution to journal › Article
Design of experiments
Logistics
Optimal design
Experiments
Exploring the Design Space of Sankey Diagrams for the Food-Energy-Water Nexus
Mathis, B., Ma, Y., Mancenido, M. & Maciejewski, R., Jan 1 2019, In : IEEE Computer Graphics and Applications.Research output: Contribution to journal › Article
Water
Visualization
1
Citation
(Scopus)
Application of 3D Imaging Technology to Latent Fingermark Aging Studies
De Alcaraz-Fossoul, J., Mancenido, M., Soignard, E. & Silverman, N., Jan 1 2018, (Accepted/In press) In : Journal of Forensic Sciences.Research output: Contribution to journal › Article
Technology
Optical Imaging
2
Citations
(Scopus)
Ridge Width Correlations between Inked Prints and Powdered Latent Fingerprints
De Alcaraz-Fossoul, J., Barrot-Feixat, C., Zapico, S. C., Mancenido, M., Broatch, J., Roberts, K. A., Carreras-Marin, C. & Tasker, J., Jul 1 2018, In : Journal of Forensic Sciences. 63, 4, p. 1085-1091 7 p.Research output: Contribution to journal › Article
Dermatoglyphics
Law Enforcement
Crime
Databases
Separation in D-optimal experimental designs for the logistic regression model
Park, A. R., Mancenido, M. & Montgomery, D., Jan 1 2018, (Accepted/In press) In : Quality and Reliability Engineering International.Research output: Contribution to journal › Article
Design of experiments
Logistics
Maximum likelihood estimation
Experimental design
Logistic regression model
Projects 2017 2020
- 1 Active
Center of Excellence for Accelerating Operational Efficiency (CAOE)
Maciejewski, R., Roe-Sepowitz, D., Liu, H., Askin, R., Kull, T., Ahn, G., Mirchandani, P., Mancenido, M., Bliss, N., Tong, H., He, J., Sefair, J., Chiou, E. & Pedrielli, G.
US Department of Homeland Security (DHS)
9/1/17 → 6/30/20
Project: Research project