Resource Type

Journal Article 8

Year

2023 2

2021 2

2020 1

2019 2

Keywords

Bilateral filtering 1

Blood-vessel segmentation 1

COVID-19 1

Crowd counting 1

Dark channel prior 1

Density estimation 1

Haze removal 1

Hazy image model 1

MXene based sensor 1

Neighborhood 1

Object detection 1

Outlier 1

SARS-CoV-2 1

Segmentation prior map 1

UI design lint 1

UI layer merging 1

Uniform function 1

User interface (UI) to code 1

Vesselness filter 1

open ︾

Search scope:

排序： Display mode:

The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 505-517 doi: 10.1007/s11705-020-2013-y

Abstract: Working temperature, sensitivity, and selectivity are some of the characteristics of the applied gas sensors. How to design and fabricate an ideal gas sensor working at room temperature is still challenging and attracting lots of interest. Two-dimensional (2D) materials with ultra-thin structure have been demonstrated as a family of ideal candidates to achieve this goal. Among them, Ti C T MXene, a kind of layered sheet synthesized by selectively etching MAX phases materials, shows remarkable potential to be the sensitive materials solely or in a composite. However, their designing rules are still lacking critical thinking from the viewpoint of the intrinsic property of Ti C T MXene based materials. In this article, two critical features, i.e., the thickness of the sensitive materials, and the scope of the analytes, are elaborated towards Ti C T MXene based gas sensors after characterizing the performance of sensing reducing gases (NH and CO) and oxidizing gas (NO ). First, the thinner the Ti C T MXene sensitive layer, the better the sensitivity. Second, the Ti C T MXene based gas sensor is not suitable for strong and moderate oxidation gas due to its ease of oxidation. These two rules are demonstrated, and could be considered with priority both in the future researches and practical applications.

Keywords： MXene based sensor     prior     reducing gases     oxidizing gases    

HTML PDF Collect

Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak

Frontiers of Medicine 2023, Volume 17, Issue 3,   Pages 562-575 doi: 10.1007/s11684-022-0977-3

Abstract: pathophysiological features of Omicron BA.2.2 sublineages and demonstrates significant protection conferred by prior

Keywords： SARS-CoV-2     COVID-19     host response     bronchoalveolar lavage fluid (BALF)    

HTML PDF Collect

Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

HTML PDF Collect

Vascular segmentation of neuroimages based on a prior shape and local statistics Research Articles

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1099-1108 doi: 10.1631/FITEE.1800129

Abstract: In this study, we propose a vascular segmentation method based on a prior shape and local statistics.

Keywords： Vesselness filter     Neighborhood     Blood-vessel segmentation     Outlier    

HTML PDF Collect

Accelerated haze removal for a single image by dark channel prior Research Articles

Bo-xuan YUE, Kang-ling LIU, Zi-yang WANG, Jun LIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1109-1118 doi: 10.1631/FITEE.1700148

Abstract: Haze scatters light transmitted in the air and reduces the visibility of images. Dealing with haze is still a challenge for image processing applications nowadays. For the purpose of haze removal, we propose an accelerated dehazing method based on single pixels. Unlike other methods based on regions, our method estimates the transmission map and atmospheric light for each pixel independently, so that all parameters can be evaluated in one traverse, which is a key to acceleration. Then, the transmission map is bilaterally filtered to restore the relationship between pixels. After restoration via the linear hazy model, the restored images are tuned to improve the contrast, value, and saturation, in particular to offset the intensity errors in different channels caused by the corresponding wavelengths. The experimental results demonstrate that the proposed dehazing method outperforms the state-of-the-art dehazing methods in terms of processing speed. Comparisons with other dehazing methods and quantitative criteria (peak signal-to-noise ratio, detectable marginal rate, and information entropy difference) are introduced to verify its performance.

Keywords： Haze removal     Dark channel prior     Hazy image model     Bilateral filtering    

HTML PDF Collect

A novel convolutional neural network method for crowd counting Research Articles

Jie-hao Huang, Xiao-guang Di, Jun-de Wu, Ai-yue Chen,18s004055@hit.edu.cn,dixiaoguang@hit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900282

Abstract: To address this problem, we propose a new method called the segmentation-aware prior network (SAPNet)

Keywords： Crowd counting     Density estimation     Segmentation prior map     Uniform function    

HTML PDF Collect

Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications Research Articles

Zhao Yi, Weixia Zou, Xuebin Sun,yz17tx@bupt.edu.cn,zwx0218@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 777-789 doi: 10.1631/FITEE.2000515

Abstract: station and each mobile user and the determined direction-of-arrival are used to predict the channel prior

Keywords： 大规模多入多出；毫米波；信道估计；车辆通信；时变    

HTML PDF Collect

UI layers merger: merging UI layers via visual learning and boundary prior Research Article

Yunnong CHEN, Yankun ZHEN, Chuning SHI, Jiazhi LI, Liuqing CHEN, Zejian LI, Lingyun SUN, Tingting ZHOU, Yanfang CHANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 373-387 doi: 10.1631/FITEE.2200099

Abstract: The MAD incorporates the boundary prior knowledge to accurately detect the boundaries of UI components

Keywords： User interface (UI) to code     UI design lint     UI layer merging     Object detection    

HTML PDF Collect

Title Author Date Type Operation

The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Journal Article

Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Vascular segmentation of neuroimages based on a prior shape and local statistics

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Journal Article

Accelerated haze removal for a single image by dark channel prior

Bo-xuan YUE, Kang-ling LIU, Zi-yang WANG, Jun LIANG

Journal Article

A novel convolutional neural network method for crowd counting

Jie-hao Huang, Xiao-guang Di, Jun-de Wu, Ai-yue Chen,18s004055@hit.edu.cn,dixiaoguang@hit.edu.cn

Journal Article

Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications

Zhao Yi, Weixia Zou, Xuebin Sun,yz17tx@bupt.edu.cn,zwx0218@bupt.edu.cn

Journal Article

UI layers merger: merging UI layers via visual learning and boundary prior

Yunnong CHEN, Yankun ZHEN, Chuning SHI, Jiazhi LI, Liuqing CHEN, Zejian LI, Lingyun SUN, Tingting ZHOU, Yanfang CHANG

Journal Article