Some energy preserving finite element schemes based on the discrete variational derivative method. - Takanori Ide (Appl. Math. Comput., 2006)

Electrical Impedance Tomography, Enclosure Method and Machine Learning. - Samuli Siltanen; Takanori Ide (MLSP, 2020)

Development of Artificial Intelligence to Classify Quality of Transmission Shift Control Using Deep Convolutional Neural Networks. - Takefumi Kawakami; Takanori Ide; Eiji Moriyama; Kunihito Hoki; Masakazu Muramatsu (IEEE Trans. Veh. Technol., 2020)

Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem. - Fabio Sanches; Sean J. Weinberg; Takanori Ide; Kazumitsu Kamiya (CoRR, 2021)

Reinforcement Learning for Multi-Truck Vehicle Routing Problems. - Randall Correll; Sean J. Weinberg; Fabio Sanches; Takanori Ide; Takafumi Suzuki (CoRR, 2022)

Quantum Neural Networks for a Supply Chain Logistics Application. - Randall Correll; Sean J. Weinberg; Fabio Sanches; Takanori Ide; Takafumi Suzuki (CoRR, 2022)

Shift Quality Classifier Using Deep Neural Networks on Small Data with Dropout and Semi-Supervised Learning. - Takefumi Kawakami; Takanori Ide; Kunihito Hoki; Masakazu Muramatsu (IEICE Trans. Inf. Syst., 2023)

Learned enclosure method for experimental EIT data. - Sara Sippola; Siiri Rautio; Andreas Hauptmann; Takanori Ide; Samuli Siltanen (CoRR, 2025)