Tootfinder

Seeing Isn't Believing: Addressing the Societal Impact of Deepfakes in Low-Tech Environments
Azmine Toushik Wasi, Rahatun Nesa Priti, Mahir Absar Khan, Abdur Rahman, Mst Rafia Islam
https://arxiv.org/abs/2508.16618

Seeing Isn't Believing: Addressing the Societal Impact of Deepfakes in Low-Tech Environments
Deepfakes, AI-generated multimedia content that mimics real media, are becoming increasingly prevalent, posing significant risks to political stability, social trust, and economic well-being, especially in developing societies with limited media literacy and technological infrastructure. This work aims to understand how these technologies are perceived and impact resource-limited communities. We conducted a survey to assess public awareness, perceptions, and experiences with deepfakes, leading …

Jeżeli piszecie bibliotekę, naprawdę powinniście unikać #CMake. To, w jaki sposób zaprojektowano ten system budowania sprawia, że wasz projekt staje się od niego zależny. Praktycznie uniemożliwia to przejście na inny system budowania w przyszłości bez sprawiania sporych kłopotów istniejącym użytkownikom. A jeżeli zdecyduje się wspierać wiele systemów budowania, to wówczas wasi użytkownicy będą blokować…

Invisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis
Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Naomi Yagi, Syoji Kobashi, Ashraful Islam, Saadia Binte Alam
https://arxiv.org/abs/2509.13873

Invisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis
Pelvic fractures pose significant diagnostic challenges, particularly in cases where fracture signs are subtle or invisible on standard radiographs. To address this, we introduce PelFANet, a dual-stream attention network that fuses raw pelvic X-rays with segmented bone images to improve fracture classification. The network em-ploys Fused Attention Blocks (FABlocks) to iteratively exchange and refine fea-tures from both inputs, capturing global context and localized anatomical detail. Trained in…

Crosslisted article(s) found for stat.AP. https://arxiv.org/list/stat.AP/new
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- Seeing Isn't Believing: Addressing the Societal Impact of Deepfakes in Low-Tech Environments
Azmine Toushik Wasi, Rahatun Nesa Priti, Mahir Absar Khan, Abdur Rahman, Mst Rafia Islam