Koopman Mode Decomposition of Oscillatory Temperature Field inside a Room. - Naoto Hiramatsu; Yoshihiko Susuki; Atsushi Ishigame (CoRR, 2020)

Control of Oscillatory Temperature Field in a Building via Damping Assignment to Nonlinear Koopman Mode. - Yoshihiko Susuki; Kohei Eto; Naoto Hiramatsu; Atsushi Ishigame (CCTA, 2022)

Anomaly Detection Based on Semi-Formula Driven Pre-training Dataset to Represent Subtle Difference and Anomaly Score. - Hiroki Kobayashi; Naoki Murakami; Naoto Hiramatsu; Takahiro Suzuki; Manabu Hashimoto (BMVC, 2024)

DC-PaDiM: Fast Anomaly Detection based on Effective Feature Dimension-Compression. - Naoki Murakami; Naoto Hiramatsu; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (CANDAR, 2024)

DoG-PaDiM: Anomaly Detection Based on Bandpass Filtering for Arbitrary Size Defect Extraction. - Naoto Hiramatsu; Naoki Murakami; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (CASE, 2024)

A proposal of anomaly detection method based on natural data augmentation in the Eigenspace. - Naoki Murakami; Naoto Hiramatsu; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (J. WSCG, 2024)

Control of In-Room Temperature Field via Damping Assignment to Nonlinear Koopman Mode. - Yoshihiko Susuki; Kohei Eto; Naoto Hiramatsu; Atsushi Ishigame (IEEE Trans. Control. Syst. Technol., 2024)

Subspace-Based Embedded Feature Reduction for Fast Anomaly Detection. - Naoki Murakami; Naoto Hiramatsu; Hiroki Kobayashi; Shuichi Akizuki; Manabu Hashimoto (SCIA (2), 2025)