AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (CoRR, 2022)

miniStreamer: Enhancing Small Conformer with Chunked-Context Masking for Streaming ASR Applications on the Edge. - Haris Gulzar; Monikka Roslianna Busto; Takeharu Eda; Katsutoshi Itoyama; Kazuhiro Nakadai (INTERSPEECH, 2023)

Incorporating Supervised Domain Generalization into Data Augmentation. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (CoRR, 2023)

Collaborative Intelligence For Vision Transformers: A Token Sparsity-Driven Edge-Cloud Framework. - Monikka Roslianna Busto; Shohei Enomoto; Takeharu Eda (ICIP, 2024)

Case-Study: Two-Phase AI Prediction for Onboard Synthetic Aperture Radar (SAR) Data Processing. - Monikka Roslianna Busto; Takeharu Eda; Takuro Udagawa; Tatsuyuki Sekine (IGARSS, 2024)

Parameter and Data Efficient Framework for Lightweight Change Detection. - Monikka Roslianna Busto; Sepehr Nouri; Takeharu Eda (IGARSS, 2024)

Technical Challenges for AI in Space Data Centers. - Takeharu Eda; Monikka Roslianna Busto; Takuro Udagawa; Naoki Ishihama; Keiichi Tabata; Yoshinori Matsuo; Ikuo Yamasaki (IGARSS, 2024)

A GAN-Based SAR-Optical Data Fusion Approach for Enhanced Flood Mapping. - Tatsuyuki Sekine; Akihiro Yamanaka; Takeharu Eda; Takuro Udagawa; Monikka Roslianna Busto (IGARSS, 2024)

Dynamic Test-Time Augmentation via Differentiable Functions. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (IEEE Access, 2024)

An Efficient GPU-based Implementation for Noise Robust Sound Source Localization. - Zirui Lin; Masayuki Takigahira; Naoya Terakado; Haris Gulzar; Monikka Roslianna Busto; Takeharu Eda; Katsutoshi Itoyama; Kazuhiro Nakadai; Hideharu Amano (CoRR, 2025)