Research
Find research shared by the Owlstown community.
From Frankenstein's Stitches to Body without Organs: Ontology of the Monstrous in the Digital Age [In Russian]
Abstract
This article traces the genealogy of the monstrous from Mary Shelley's Frankenstein (1818) to contemporary manifestations in artificial intelligence and algorithmic systems. Drawing on the February 2023 incident with Microsoft's Bing cha...
Publication · February 04, 2026
Il Worlding come ecosistema: gli ambienti speculativi di Pierre Huyghe
Abstract
This article examines the radical reconfiguration of spectatorship in contemporary art through the lens of delegated agency and posthuman aesthetics. Building upon Roland Barthes' seminal concept of the "death of the author" (1967) and J...
Publication · February 04, 2026
From Hygiene to Health Equity
The Heart of Public Health
Public health has been described as the place where the greatest need and the greatest passion meet. A dental hygienist at Peak Vista Community Health Centers in Colorado Springs, Margaret Quijada is an inspiring exampl...
Project · February 04, 2026
Large kernel convolution application for land cover change detection of remote sensing images
Abstract: In land cover change detection tasks, extracting universal features of changing targets is crucial for achieving precise detection results. A larger receptive field helps the model capture these universal features of changing targets....
Publication · February 04, 2026
MSFGNet: Multi-Scale Features Gathering Network for Change Detection of Remote Sensing Images
Abstract: Change detection is an important research area in remote sensing. To achieve accurate results, it is essential to extract multi-scale spatial information from images while filtering out noise. However, existing models lack this capabi...
Publication · February 04, 2026
F3Net: Feature Filtering Fusing Network for Change Detection of Remote Sensing Images
Abstract: Change Detection of remote sensing images is an essential method for observing changes on the Earth's surface. Deep learning can efficiently process remote sensing images. However, shallow features in remote sensing data from differen...
Publication · February 04, 2026
SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation
Abstract: Sea reclamation expands land resources along coastal areas and supports sustainable urban growth. Sea reclamation monitoring is a significant application of remote sensing change detection (RSCD). Segment anything model (SAM) supports ze...
Publication · February 04, 2026