Institution
Northwestern Polytechnical University
Education•Xi'an, China•
About: Northwestern Polytechnical University is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Microstructure & Computer science. The organization has 47497 authors who have published 56067 publications receiving 657071 citations. The organization is also known as: Xīběi Gōngyè Dàxué & State Northwest Institute of Engineering.
Papers published on a yearly basis
Papers
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University of Oulu1, Université du Québec2, University of Ouargla3, University of Biskra4, University of the Basque Country5, Hunan University6, Changsha University of Science and Technology7, Indian Institute of Technology Indore8, Gradiant (Galician Research and Development Center in Advanced Telecommunications)9, École Polytechnique Fédérale de Lausanne10, Idiap Research Institute11, Shenzhen University12, Fujitsu13, Northwestern Polytechnical University14, Hong Kong Baptist University15, State University of Campinas16
TL;DR: This competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics.
Abstract: In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more realistic conditions. The objective of this competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics. Thirteen teams from academic and industrial institutions across the world participated in this competition. This time typical liveness detection based on physiological signs of life was totally discarded. Instead, every submitted system relies practically on some sort of feature representation extracted from the face and/or background regions using hand-crafted, learned or hybrid descriptors. Interesting results and findings are presented and discussed in this paper.
150 citations
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TL;DR: This is the first comprehensive review of the approaches developed for segmentation of BUS images, and found that all these techniques have their own pros and cons.
Abstract: Breast cancer is the most common form of cancer among women worldwide. Ultrasound imaging is one of the most frequently used diagnostic tools to detect and classify abnormalities of the breast. Recently, computer-aided diagnosis (CAD) systems using ultrasound images have been developed to help radiologists to increase diagnosis accuracy. However, accurate ultrasound image segmentation remains a challenging problem due to various ultrasound artifacts. In this paper, we investigate approaches developed for breast ultrasound (BUS) image segmentation. In this paper, we reviewed the literature on the segmentation of BUS images according to the techniques adopted, especially over the past 10 years. By dividing into seven classes (i.e., thresholding-based, clustering-based, watershed-based, graph-based, active contour model, Markov random field and neural network), we have introduced corresponding techniques and representative papers accordingly. We have summarized and compared many techniques on BUS image segmentation and found that all these techniques have their own pros and cons. However, BUS image segmentation is still an open and challenging problem due to various ultrasound artifacts introduced in the process of imaging, including high speckle noise, low contrast, blurry boundaries, low signal-to-noise ratio and intensity inhomogeneity To the best of our knowledge, this is the first comprehensive review of the approaches developed for segmentation of BUS images. With most techniques involved, this paper will be useful and helpful for researchers working on segmentation of ultrasound images, and for BUS CAD system developers.
149 citations
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08 Apr 2021
TL;DR: In this article, ultrathin flexible polyvinylidene fluoride (PVDF) composite films with MXenes and silver nanowires (AgNWs) were prepared via solution casting method.
Abstract: Herein, ultrathin flexible poly(vinylidene fluoride) (PVDF) composite films with MXenes and silver nanowires (AgNWs) were prepared via solution casting method. Due to the synergistic effects induced by MXene/AgNW network, the electrical conductivity, thermal conductivity, and electromagnetic interference (EMI) shielding of PVDF/MXene/AgNW films were higher than the corresponding PVDF/MXene and PVDF/AgNW films, and the values of PVDF/MXene/AgNW films at 300 μm thickness were reached 1.08 S/m, 0.78 W/(mK), and 25.87 dB, respectively. Additionally, due to the ultrathin thickness, the high specific shielding value of 1091 dB cm2/g was achieved. Moreover, the total shielding effectiveness increased from 19.31 to 41.26 dB as the thickness was increased from 150 to 600 μm. The main EMI shielding mechanism is contribution to the absorption. The possible synergistic mechanisms for enhancing EMI shielding and mechanical performance are discussed. This work offers a promising solution for EMI shielding challenges in modern smaller and smaller wearable devices. Ultrathin flexible PVDF/MXenes/AgNWs films shows 1.08 S/m electrical conductivity, 0.78 W/(mK) thermal conductivity and 1091 dBcm2/g specific EMI shielding.
149 citations
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149 citations
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TL;DR: The approach demonstrates the potential of regulating lithium-sulfur battery performances at a molecular scale promoted by the porous organic polymers with a flexible design.
Abstract: Lithium–sulfur battery represents a promising class of energy storage technology owing to its high theoretical energy density and low cost. However, the insulating nature, shuttling of soluble polysulfides and volumetric expansion of sulfur electrodes seriously give rise to the rapid capacity fading and low utilization. In this work, these issues are significantly alleviated by both physically and chemically restricting sulfur species in fluorinated porous triazine-based frameworks (FCTF-S). One-step trimerization of perfluorinated aromatic nitrile monomers with elemental sulfur allows the simultaneous formation of fluorinated triazine-based frameworks, covalent attachment of sulfur and its homogeneous distribution within the pores. The incorporation of electronegative fluorine in frameworks provides a strong anchoring effect to suppress the dissolution and accelerate the conversion of polysulfides. Together with covalent chemical binding and physical nanopore-confinement effects, the FCTF-S demonstrates ...
149 citations
Authors
Showing all 48005 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 164 | 2704 | 144071 |
Thomas S. Huang | 146 | 1299 | 101564 |
Wei Huang | 139 | 2417 | 93522 |
Bin Liu | 138 | 2181 | 87085 |
Jian Li | 133 | 2863 | 87131 |
Lei Zhang | 130 | 2312 | 86950 |
Zhen Li | 127 | 1712 | 71351 |
Chao Zhang | 127 | 3119 | 84711 |
Shaobin Wang | 126 | 872 | 52463 |
Tao Zhang | 123 | 2772 | 83866 |
Jian Liu | 117 | 2090 | 73156 |
Xin Li | 114 | 2778 | 71389 |
Qiang Yang | 112 | 1117 | 71540 |
Jie Wu | 112 | 1537 | 56708 |
Xuelong Li | 110 | 1044 | 46648 |