Results 101 to 110 of about 6,300,985 (321)
Context-aware saliency detection for image retargeting using convolutional neural networks [PDF]
Image retargeting is the task of making images capable of being displayed on screens with different sizes. This work should be done so that high-level visual information and low-level features such as texture remain as intact as possible to the human ...
Mahdi Ahmadi, N. Karimi, S. Samavi
semanticscholar +1 more source
The oxygen spillover from Ir to the oxide support with interfacial oxygen vacancies during OER is revealed. These interfacial oxygen vacancies as an oxygen transport zone not only regulate the in situ Ir catalytic structure toward boosted activity but also suppress Ir over‐oxidation via directional OH‐filling effects, thereby ensuring overall high ...
Yu Zhu+11 more
wiley +1 more source
Multi‐Scaled Cellulosic Nanonetworks from Tunicates
Microbial and plant nanonetworks of cellulose have enabled a wide range of high‐performance yet sustainable materials. Herein, a third class of cellulosic nanonetworks is showcased by exploiting the only animal tissue‐producing cellulose nanofibers, i.e., ascidians. An ultrastructure including spherical cells and a microvasculature with diameters of 50–
Mano Govindharaj+10 more
wiley +1 more source
In this article, a water‐evaporation driven energy harvester is devised that works even in the absence of sunlight. This is achieved by combining PVA hydrogel with thermoelectrics (TEG) to directly capture energy from water evaporation. Under mild conditions (RH 40%, T of 26 °C, and 2.8 m s−1 wind), 1.71 mW (1.02 W m−2) power can be generated, >3 fold ...
Zichen Gong, Ady Suwardi, Jing Cao
wiley +1 more source
In order to improve the change detection accuracy of multitemporal high spatial resolution remote-sensing (HSRRS) images, a change detection method of multitemporal remote-sensing images based on saliency detection and spatial intuitionistic fuzzy C ...
Liang Huang, Qiuzhi Peng, Xueqin Yu
doaj +1 more source
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection [PDF]
Traditional saliency models usually adopt hand-crafted image features and human-designed mechanisms to calculate local or global contrast. In this paper, we propose a novel computational saliency model, i.e., deep spatial contextual long-term recurrent convolutional network (DSCLRCN) to predict where people looks in natural scenes.
arxiv
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly+4 more
wiley +1 more source
Designer DNA Architecture‐templated Drug Conjugates (DDA‐DCs) are comprised of a DNA nanomaterial decorated with multiple drug‐loaded DNA aptamers. DDA‐DCs use a combination of multiple aptamer types, each recognizing a different membrane protein to achieve precise targeting of cancer cells.
Abhisek Dwivedy+19 more
wiley +1 more source
Poisson Reconstruction-Based Fusion of Infrared and Visible Images via Saliency Detection
Saliency-based methods have been widely used in the fusion of infrared (IR) and visible (VIS) images, which can highlight the salient object region and preserve the detailed background information simultaneously. However, most existing methods ignore the
Jing Li+4 more
doaj +1 more source
This review provides an in‐depth understanding of all theoretical reaction mechanisms to date concerning zinc–iodine batteries. It revisits the inherent issues and solutions of zinc–iodine batteries from the perspective of industrial application. By integrating existing examples of energy storage applications, it identifies the challenges faced on the ...
Haokun Wen+10 more
wiley +1 more source