Research Output per year
Fingerprint Dive into the research topics where Tomohiro Murata is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 22 Similar Profiles
Scheduling
Engineering & Materials Science
Petri nets
Engineering & Materials Science
Planning
Engineering & Materials Science
Recommender systems
Engineering & Materials Science
Genetic algorithms
Engineering & Materials Science
Cellular manufacturing
Engineering & Materials Science
Supply chains
Engineering & Materials Science
Collaborative filtering
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1985 2019
Intermittent snapshot method for remote data synchronization from cloud on-ramp to cloud storage
Yagawa, Y., Hayasaka, M., Maki, N., Tezuka, S. & Murata, T., 2019 Jan 1, In : IEEJ Transactions on Electronics, Information and Systems. 139, 6, p. 745-756 12 p.Research output: Contribution to journal › Article
Synchronization
Petri nets
Wide area networks
Local area networks
Degradation
Optimal electric vehicle routing for minimizing electrical energy consumption based on hybrid genetic algorithm
Chen, H. & Murata, T., 2019 Jan 1, In : Lecture Notes in Engineering and Computer Science. 2239, p. 526-531 6 p.Research output: Contribution to journal › Conference article
Vehicle routing
Electric vehicles
Energy utilization
Genetic algorithms
Trucks
Production planning for closed loop supply chain with recycle parts and product life cycle
Kajiyama, R. & Murata, T., 2019 Jan 1, In : Lecture Notes in Engineering and Computer Science. 2239, p. 427-430 4 p.Research output: Contribution to journal › Conference article
Supply chains
Life cycle
Profitability
Planning
Sales
Stock market trend prediction with sentiment analysis based on LSTM neural network
Jiawei, X. & Murata, T., 2019 Jan 1, In : Lecture Notes in Engineering and Computer Science. 2239, p. 475-479 5 p.Research output: Contribution to journal › Conference article
Neural networks
Feature extraction
Financial markets
Long short-term memory
Deep learning
Adaptive ARIMA model based on lazy learning algorithm for short period electric load forecasting
Li, C. & Murata, T., 2018 Jan 1, Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018. Castillo, O., Feng, D. D., Korsunsky, A. M., Douglas, C. & Ao, S. I. (eds.). Newswood Limited, (Lecture Notes in Engineering and Computer Science; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Electric load forecasting
Learning algorithms
Time series