There appears to be a lack of focus on real-time adaptive algorithms for dynamic environments in computer vision applications, especially in relation to video segmentation and object detection under varying conditions. Additionally, ethical considerations around bias in machine learning algorithms, specifically for underrepresented communities in data sets, remain inadequately addressed.
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THE OPPORTUNITY
The high volume of recent publications relative to the limited number of job openings indicates a competitive yet vibrant research area, suggesting that innovative contributions could quickly gain attention. For a researcher entering this space now, there is a timely chance to carve out niche expertise, particularly in underserved subfields that align with current technological needs and ethical standards.
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Calibration of material models applied to impact mechanics using a new statistical approach. Congresso de Metodos Numericos em Engenharia. 1-3 July 2019. Guimaraes, Portugal
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The skin is the largest and outermost organ that surrounds the human body and provides a physical barrier that protects the more delicate internal tissues from the harsh surrounding environment. Over the course of evolution, specialized structures have also arisen in the skin, including sweat and sebaceous glands, nails and claws, and hair follicles. The hair follicle is a multi-lineage mini-organ...
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Do heritage-making projects resist or advance gentrification in Southeast Asia? Like other Global South cities, contested urbanisms chequer Jakarta’s postcolonial urban landscape. Competing ideas about urban development manifest in various ways of seeing and producing the city, as demonstrated by evictions, revitalisation projects, and informal housing. Increased evictions of urban villages (urban...
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Obtaining high-quality annotated data has become a primary bottleneck for training deep learning models, particularly for dense prediction tasks like semantic segmentation and video salient object segmentation. The demand for meticulous, pixel-level labeling makes fully-supervised approaches prohibitively expensive and limits their scalability. This thesis directly confronts this issue by proposin...
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Bridge Crack Dataset
Crack Detection Research Team · Detection Limit (United States)
2026-12-12 · 0 citations
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This dataset contains crack images and their corresponding annotations collected from the wooden structural components of the Lingyan Wind and Rain Bridge, located in Gantang River Park, Lingchuan County, Guilin City, Guangxi Zhuang Autonomous Region. The dataset covers four common types of cracks observed in wooden bridge structures: split cracks, tearing cracks, linear cracks, and shrinkage crac...
Bridge Crack Dataset
Crack Detection Research Team · Detection Limit (United States)
2026-12-12 · 0 citations
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This dataset contains crack images and their corresponding annotations collected from the wooden structural components of the Lingyan Wind and Rain Bridge, located in Gantang River Park, Lingchuan County, Guilin City, Guangxi Zhuang Autonomous Region. The dataset covers four common types of cracks observed in wooden bridge structures: split cracks, tearing cracks, linear cracks, and shrinkage crac...
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Abstract: This study explores the ethical dimensions of worker precarity and protest agency in the context of ongoing polycrisis conditions in Gilgit-Baltistan, Pakistan. Drawing upon publicly available protest videos from various occupational groups-such as healthcare, education, and public sector employees-the study employs a thematic analysis to identify recurring patterns of ethical discourse,...
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Abstract: This article analyzes four prevailing metaphors-”oil,” “light,” “gift,” and “trust”-that shape how human biomedical data are ethically and conceptually understood. Each metaphor reflects competing views on ownership, access, and responsibility. By comparing their strengths and limitations, the paper proposes a new “trust-gift” model that integrates altruistic donation with institutional ...
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Future 6G networks are expected to support highly heterogeneous and demanding services, requiring advanced levels of programmability, automation, and fine-grained control across both control and data planes. Software-Defined Networking (SDN), combined with programmable data planes based on the P4 language, enables flexible and adaptive network behavior that is difficult to achieve with fixed-funct...