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The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon +7 more
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Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim +5 more
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Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt +2 more
wiley +1 more source
A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz +7 more
wiley +1 more source
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Learning Salient Feature for Salient Object Detection Without Labels
IEEE Transactions on Cybernetics, 2023Supervised salient object detection (SOD) methods achieve state-of-the-art performance by relying on human-annotated saliency maps, while unsupervised methods attempt to achieve SOD by not using any annotations. In unsupervised SOD, how to obtain saliency in a completely unsupervised manner is a huge challenge.
Shuo Li +4 more
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Residual Learning for Salient Object Detection
IEEE Transactions on Image Processing, 2020Recent deep learning based salient object detection methods improve the performance by introducing multi-scale strategies into fully convolutional neural networks (FCNs). The final result is obtained by integrating all the predictions at each scale.
Mengyang Feng, Huchuan Lu, Yizhou Yu
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Focal Boundary Guided Salient Object Detection
IEEE Transactions on Image Processing, 2019The performance of salient object segmentation has been significantly advanced by using deep convolutional networks. However, these networks often produce blob-like saliency maps without accurate object boundaries. This is caused by the limited spatial resolution of their feature maps after multiple pooling operations, and might hinder downstream ...
Yupei Wang +4 more
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Unconstrained Salient Object Detection
2019In this chapter, we aim at detecting generic salient objects in unconstrained images, which may contain multiple salient objects or no salient object. Solving this problem entails generating a compact set of detection windows that matches the number and the locations of salient objects.
Jianming Zhang +2 more
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Salient object detection based on objectness
2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2015We propose a novel salient object detection method based on objectness by generating salient object bounding box proposals. Smooth images of edge-preserving well and smooth background are obtained by using L 0 Gradient Minimization. After oversegmenting somooth images using SLIC algorithm, candidate bounding boxes as well as center and neighbor areas ...
Baoyan Wang, Tie Zhang, Xingang Wang
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Improved salient objects detection based on salient points
2016 35th Chinese Control Conference (CCC), 2016In this paper, we propose an effective framework for detecting salient regions of an image via salient points and color contrast. First, the boosting Harris is used to detect highlight points as the salient points, and the convex hull is constructed to separate the foreground regions and the background regions.
Yanbang Zhang, Lei Guo, Gong Cheng
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