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II Poster Session 61
Abstract and Poster
II.1 Detecting Modified AI-Generated Academic Abstracts, Andrew Truong, JUSST Pro-
gram, Utsumi Laboratory (J) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
II.2 Effect of Biomass Species on Formability in Forging of Biomass Powder Compact, Cho
Zin Thant, JUSST Program, Kajikawa Laboratory (M) . . . . . . . . . . . . . . . . . 65
II.3 Effect of tube dimension and material on formability in eccentric tube processing by
expansion drawing, Phone Myint Aung, JUSST Program, Kajikawa Laboratory (M) . 67
II.4 Anomaly Classification with Scene Description in Public Roads, Jose Emilio Vera
Cordero, JUSST Program, Takahashi Laboratory (J) . . . . . . . . . . . . . . . . . . . 69
II.5 Advanced EEG-to-Text Translation Using Pre-trained Language Models and Multi-
Modal Transformers, Jose Manuel Carrichi Chavez, JUSST Program, Nakashika Lab-
oratory (I) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71
II.6 Detection Model for Audio Deepfakes Using Self-Supervised Learning to Prevent Iden-
tity Spoofing Attacks, Medina Castro Maria Vianney, JUSST Program, Minami Lab-
oratory (I) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73
II.7 Swin-UNet++: A Multi-Scale Transformer-CNN Hybrid for Brain Tumor Segmentation
in MRI Scans, Rinvi Jaman Riti, JUSST Program, Koizumi Laboratory (M) . . . . . 75
II.8 A Novel Lightweight Pipeline for Real-Time Lesion Detection in Bronchoscopic Imag-
ing, Tawhid Ahmed Komol, JUSST Program, Koizumi Laboratory (M) . . . . . . . . . 77
II.9 Proximal Policy Optimization for Efficient D2D-assisted Computation Offloading and
Resource Allocation in Multi-Access Edge Computing, Chen Zhang, SESS Program,
Celimuge Laboratory (I) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
II.10 Exploring Effective AI Applications in Teaching Molecular Structures for Secondary
Chemistry Education, Jordao Laurindo Manuel, SESS Program, Yamamoto Laboratory
(SUS) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81
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