中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共9条，第1-9条

帮助

条数/页：排序方式：
	Portable smartphone-assisted highly sensitive detection of mercury ions based on gold nanoparticle-modified NH₂-UiO-66 metal-organic framework 期刊论文 OAI收割 ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2023, 页码: 10 作者: Wang, Shasha; Wang, Yifei; Ma, Jiping; Huang, Chaonan; Chen, Lingxin \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2024/01/26 Gold nanoparticles Metal-organic framework Mercury ions RGB analysis Smartphone-assisted detection
	Portable smartphone-assisted highly sensitive detection of mercury ions based on gold nanoparticle-modified NH₂-UiO-66 metal-organic framework 期刊论文 OAI收割 ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2023, 页码: 10 作者: Wang, Shasha; Wang, Yifei; Ma, Jiping; Huang, Chaonan; Chen, Lingxin \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/11/02 Gold nanoparticles Metal-organic framework Mercury ions RGB analysis Smartphone-assisted detection
	A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11428-11442 作者: Zhou, Benjia; Wang, Pichao; Wan, Jun; Liang, Yanyan; Wang, Fan \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2023/11/16 Spatiotemporal phenomena Representation learning Training Optimization Task analysis Three-dimensional displays Solid modeling Complement feature late fusion motion recognition RGB-D video augmentation
	Does Thermal Really Always Matter for RGB-T Salient Object Detection? 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6971-6982 作者: Cong, Runmin; Zhang, Kepu; Zhang, Chen; Zheng, Feng; Zhao, Yao \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/05/20 Task analysis Decoding Semantics Object detection Location awareness Lighting Feature extraction RGB-T images salient object detection global illumination estimation semantic constraint provider localization and complementation
	Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21 作者: Xie, Zexiao; Yu, Xiaoxuan; Gao, Xiang; Li, Kunqian; Shen, Shuhan \| 收藏 \| 浏览/下载：49/0 \| 提交时间：2022/11/14 Task analysis Learning systems Noise measurement Laser radar Image color analysis Deep learning Data integration Data fusion deep learning depth completion loss function RGB-D and LiDAR data
	ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition 期刊论文 OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 5, 页码: 3422-3433 作者: Wan, Jun; Lin, Chi; Wen, Longyin; Li, Yunan; Miao, Qiguang \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2022/07/25 Gesture recognition Measurement Task analysis Training Conferences Computer vision Bidirectional long short-term memory (Bi-LSTM) gesture recognition RGB-D
	CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6800-6815 作者: Cong, Runmin; Lin, Qinwei; Zhang, Chen; Li, Chongyi; Cao, Xiaochun \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/07/12 Decoding Task analysis Periodic structures Middleware Logic gates Electronic mail Object detection Salient object detection RGB-D images cross-modality attention cross-modality interaction
	DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7012-7024 作者: Chen, Zuyao; Cong, Runmin; Xu, Qianqian; Huang, Qingming \| 收藏 \| 浏览/下载：58/0 \| 提交时间：2021/12/01 Logic gates Object detection Contamination Task analysis Saliency detection Computer science Image color analysis Salient object detection RGB-D images depth potentiality perception gated multi-modality attention
	Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Zhou Y.; Zhou F.; Wang C. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree therefore it can be used in hospital so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance calibrating organization and family while reflectance is one-dimensional variable it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment so its application prospect is extensive. the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr Lab*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate