Fingerprint Dive into the research topics where Department of Industrial Administration is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Inductive logic programming (ILP) Engineering & Materials Science
Learning systems Engineering & Materials Science
Industry Engineering & Materials Science
Experiments Engineering & Materials Science
Inductive Logic Programming Mathematics
Logic programming Engineering & Materials Science
Biomass Engineering & Materials Science
Scheduling Engineering & Materials Science

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

Research Output 1984 2019

A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling

Nitisiri, K., Gen, M. & Ohwada, H., 1 Apr 2019, In : Computers and Industrial Engineering. 130, p. 381-394 14 p.

Research output: Contribution to journalArticle

Genetic algorithms
Scheduling
Evolutionary algorithms
Program processors
Environmental impact
1 Citation (Scopus)

A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning

Kodama, N., Miyazaki, K. & Harada, T., 15 Jan 2019, Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018. Wani, M. A., Sayed-Mouchaweh, M., Lughofer, E., Gama, J. & Kantardzic, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 983-988 6 p. 8614185. (Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018).

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

Profitability
Tuning
Exploitation
Degradation
Reinforcement learning
Open Access
Energy utilization
Throughput
Productivity
Discrete event simulation
Planning

Automated summarization of TV series using TV metadata

Iwata, M. & Ohwada, H., 1 Jan 2019, p. 47-51. 5 p.

Research output: Contribution to conferencePaper

Metadata
Watches
Sports
Semantics

Carbon emission forensic in the energy sector: Is it worth the effort?

Chen, Y., Zhang, D. & Takashima, R., 1 May 2019, In : Energy Policy. 128, p. 868-878 11 p.

Research output: Contribution to journalArticle

pollution tax
carbon emission
Taxation
Carbon
energy

Classification model for cerebral aneurysm rupture prediction using medical and blood-flow-simulation data

Suzuki, M., Haruhara, T., Takao, H., Suzuki, T., Fujimura, S., Ishibashi, T., Yamamoto, M., Murayama, Y. & Ohwada, H., 1 Jan 2019, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. Steels, L., Rocha, A. & van den Herik, J. (eds.). SciTePress, p. 895-899 5 p. (ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence; vol. 2).

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

Flow simulation
Blood
Learning systems
Logistics
Brain
Radiation protection
Cell death
Radiotherapy
Testing
Feature extraction
1 Citation (Scopus)

Contribution to a low-carbon society from improving exergy of waste-to-energy system by upgrading utilization of waste

Fujii, M., Dou, Y., Sun, L., Ohnishi, S., Maki, S., Dong, H., Dong, L. & Chandran, R., 1 Oct 2019, In : Resources, Conservation and Recycling. 149, p. 586-594 9 p.

Research output: Contribution to journalArticle

exergy
carbon
energy
life cycle
society

Data analysis of shipment for textiles and apparel from logistics warehouse to store considering disposal risk

Tanaka, R., Ishigaki, A., Suzuki, T., Hamada, M. & Kawai, W., 7 Jan 2019, In : Sustainability (Switzerland). 11, 1, 259.

Research output: Contribution to journalArticle

Open Access
Warehouses
Logistics
logistics
Textiles
Sales