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2020 – today
- 2024
[i4]Joshua Levin, Randall Correll, Takanori Ide, Takafumi Suzuki, Takaho Saito, Alan Arai:
Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes. CoRR abs/2401.08669 (2024)- 2023
- [j3]Takefumi Kawakami
, Takanori Ide, Kunihito Hoki, Masakazu Muramatsu:
Shift Quality Classifier Using Deep Neural Networks on Small Data with Dropout and Semi-Supervised Learning. IEICE Trans. Inf. Syst. 106(12): 2078-2084 (2023) - 2022
- [i3]Randall Correll, Sean J. Weinberg, Fabio Sanches, Takanori Ide, Takafumi Suzuki:
Reinforcement Learning for Multi-Truck Vehicle Routing Problems. CoRR abs/2211.17078 (2022) - [i2]Randall Correll, Sean J. Weinberg, Fabio Sanches, Takanori Ide, Takafumi Suzuki:
Quantum Neural Networks for a Supply Chain Logistics Application. CoRR abs/2212.00576 (2022) - 2021
- [i1]Fabio Sanches, Sean J. Weinberg, Takanori Ide, Kazumitsu Kamiya:
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem. CoRR abs/2109.07498 (2021) - 2020
- [j2]Takefumi Kawakami, Takanori Ide, Eiji Moriyama, Kunihito Hoki, Masakazu Muramatsu:
Development of Artificial Intelligence to Classify Quality of Transmission Shift Control Using Deep Convolutional Neural Networks. IEEE Trans. Veh. Technol. 69(12): 16168-16172 (2020) - [c1]Samuli Siltanen, Takanori Ide:
Electrical Impedance Tomography, Enclosure Method and Machine Learning. MLSP 2020: 1-6
2000 – 2009
- 2006
- [j1]Takanori Ide:
Some energy preserving finite element schemes based on the discrete variational derivative method. Appl. Math. Comput. 175(1): 277-296 (2006)
Coauthor Index
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