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	Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction 期刊论文 OAI收割 Physics in Medicine & Biology, 2024, 卷号: 69, 期号: 7 作者: He,Bingxi; Sun,Caixia; Li,Hailin; Wang,Yongbo; She,Yunlang \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2024/05/30 deep learning sinogram CT scans lung cancer raw data
	From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Prediction of Human Data for the First Time 期刊论文 OAI收割 ENGINEERING, 2024, 卷号: 34, 页码: 60-69 作者: He, Bingxi; Guo, Yu; Zhu, Yongbei; Tong, Lixia; Kong, Boyu \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2024/09/09 Computed tomography Diagnosis Deep learning Lung cancer Raw data
	MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks 期刊论文 OAI收割 BMC BIOINFORMATICS, 2020, 卷号: 21, 期号: 1, 页码: 15 作者: Wang, Shisheng; Zhu, Hongwen; Zhou, Hu; Cheng, Jingqiu; Yang, Hao \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2020/12/24 Raw mass spectrometry data Proteome profiling Feature swath extraction Deep neural networks Multi-tumor types Leave-one-out cross prediction strategy
	Convergecast scheduling and cost optimization for industrial wireless sensor networks with multiple radio interfaces 期刊论文 OAI收割 Wireless Networks, 2017, 页码: 1-15 作者: Zeng P(曾鹏); Wang JT(王金涛); Jin X(金曦); Xu HT(徐惠婷); Xia CQ(夏长清) \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2017/06/20 Industrial wireless sensor networks Multiple radio interfaces Raw data convergecast scheduling Cost minimizing
	The study of the experiment and preparation with blending characteristic in power plant (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Consumer Electronics, Communications and Networks, CECNet 2011, April 16, 2011 - April 18, 2011, XianNing, China Xuefeng Z.; Wen-Zhuo X. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The experiment in the power plant burning with the mixed coal were studied and analyzed by this paper it carried on the analysis using regression analysis's method to the tentative data to obtains the experimental correlation between the calorific capacity and the ash. Considering the safety and benefit of thermal power plant the economic model of raw coal blending is researched. The design chooses the different pulverizing equipment and projects the different pattern pulverizing system according to the boiler's capacity of the power plant extension project and the difference of the coal type. This paper motive force of coal blending can completely replace the design. 2011 IEEE.
	Image compression based on contourlet and no lists SPIHT (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者: Zhang S. 收藏 \| 浏览/下载：46/0 \| 提交时间：2013/03/25 The volume of raw image data captured by the high resolution camera is extremely huge. Thus the efficient image compression method should be used to decrease the bit rate. The image compression method based on wavelet is used more widely nowadays. However two dimensional wavelet is only the tensor product of the one dimensional wavelet whose support region of basis function is extended from interval to square. Contourlet is an image multiscale geometric analysis tool which could represent image sparsely and has strong capability of nonlinear approximation. The basis function of contourlet is multidirectional and anisotropic. Nevertheless contourlet is redundant. So the non-redundant Wavelet Based Contourlet Transform (WBCT) is used in this paper. The SPIHT algorithm is very efficient way to coding the significant coefficients. And the improved no lists SPIHT is more easy to implemented by hardware. Image compression method based on the combination of both wavelet based contourlet transform and no lists SPIHT coding is proposed in the paper. Experiment shows that compared to wavelet based scheme the contourlet scheme can reserve the texture of the image. For barbara test image when coding at low bit rate the PSNR can improve about 0.2dB. 2010 IEEE.
	Raw data management system on GAUDI framework 期刊论文 OAI收割 HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2005, 卷号: 29, 期号: 12, 页码: 1170-1174 作者: Zhang XM(张晓梅); Ma QM(马秋梅); Wang Z(王喆); Wang DY(王大勇); You ZY(尤郑云) 收藏 \| 浏览/下载：14/0 \| 提交时间：2016/06/29 GAUDI raw data object oriented BESIII data analysis