MT School of Management

Fingerprint Dive into the research topics where MT School of Management is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Industry Engineering & Materials Science
Costs Engineering & Materials Science
Scheduling Engineering & Materials Science
Communication Engineering & Materials Science
Innovation Engineering & Materials Science
Petri nets Engineering & Materials Science
Experiments Engineering & Materials Science
Detectors Engineering & Materials Science

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Projects 2016 2018

Computational methods
Computer science
Electrical engineering
Electric power systems
Computational complexity
Network security
Human engineering
Decision making
Electric network analysis
Fault detection
Failure analysis
Cyber Physical System

Research Output 1975 2019

1 Citation (Scopus)

A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation

Sahu, P., Yu, D., Dasari, M., Hou, F. & Qin, H., May 1 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 3, p. 960-968 9 p., 8525322.

New Jersey Institute of Technology

Research output: Contribution to journalArticle

Artificial Intelligence
Computer Systems
Lung Neoplasms

A machine learning approach for line outage identification in power systems

He, J., Cheng, M., Fang, Y. & Crow, M. L., Jan 1 2019, Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Revised Selected Papers. Nicosia, G., Giuffrida, G., Pardalos, P., Sciacca, V. & Umeton, R. (eds.). Springer Verlag, p. 482-493 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11331 LNCS).

New Jersey Institute of Technology

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

Learning systems
Identification (control systems)
Phasor measurement units
State estimation
Employee well-being
Design methodology
Psychological well-being
Work stress