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An integrated model of the gross tumor volume of cervical lymph nodes and pretreatment plasma Epstein–Barr virus DNA predicts survival of nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: a big-data intelligence platform-based analysis

Jun-Yan Li, Cheng-Long Huang, Wei-Jie Luo, Yuan Zhang, Ling-Long Tang, Hao Peng, Ying Sun, Yu-Pei Chen, Jun Ma
2019 Therapeutic Advances in Medical Oncology  
Methods: A well-established big-data intelligence platform with 10,126 NPC patients was used for a retrospective review.  ...  Few studies have evaluated the prognostic value of the integrated model consisting of gross tumor volume of lymph nodes (GTVnd) and pretreatment plasma Epstein–Barr virus DNA (pre-EBV DNA) in nasopharyngeal  ...  Patient characteristics We reviewed data from 10,126 patients retrospectively in a big-data intelligence platform, and 2021 were enrolled in the study in accordance with the following inclusion criteria  ... 
doi:10.1177/1758835919877729 pmid:31598143 pmcid:PMC6763945 fatcat:bw5jizrurvflrdgjooxniwvf3q

Special Issue on Intelligent data analysis and applications & smart vehicular technology, communications and applications

Valentina Emilia Balas, Lakhmi C. Jain
2020 Journal of Intelligent & Fuzzy Systems  
It aims to attract researchers and practi-29 tioners who are working in Intelligent Data Analysis and Applications, Vehicle Technology and Commu-30 nication, the broad area of intelligent data analysis  ...  Soft Computing techniques represent an emerging 8 field covering an interdisciplinary methodological 9 framework that support the design analysis and 10 deployment of intelligent systems.  ...  It aims to attract researchers and practi-29 tioners who are working in Intelligent Data Analysis and Applications, Vehicle Technology and Commu-30 nication, the broad area of intelligent data analysis  ... 
doi:10.3233/jifs-179812 fatcat:esnocduny5btrgw6idiiel5haq

Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence

2005 Intelligence  
To address the debate, a meta-analysis of the relationship between in vivo brain volume and intelligence was conducted.  ...  For all age and sex groups, it is clear that brain volume is positively correlated with intelligence. D  ...  The first area is an examination of the brain volume and intelligence relationship at a more refined level of analysis than total brain volume.  ... 
doi:10.1016/j.intell.2004.11.005 fatcat:jfqlielzcjhj7a6vxmczd3soue

Adversity Intelligence As A Contributing Factor Of Tutor'S Performance

2018 Zenodo  
This paper discusses adversity intelligence, tutor's performance, and the contribution of adversity intelligence towards the performance of tutor in Learning Activity Center (SKB).  ...  From the discussion, it can be concluded that there were many tutors in Learning Activity Center of West Sumatra whose adversity intelligence and performance were still low and the adversity intelligence  ...  Issue 11│ 2017 844 Before analyzing the data by using simple regression analysis technique, a hypothesis test was used as the requirement in simple regression analysis technique.  ... 
doi:10.5281/zenodo.1134471 fatcat:nvsake3mpvf5hk7bnmc5n2f66y

Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study

Gideon Nave, Wi Hoon Jung, Richard Karlsson Linnér, Joseph W. Kable, Philipp D. Koellinger
2018 Psychological Science  
in our data.  ...  We find a robust association between total brain volume and fluid intelligence (r=0.19), which is consistent with previous findings in the literature after controlling for measurement quality of intelligence  ...  Authors contributions G.N and P.D.K developed the study concept and design, performed data analysis and interpretation, and wrote the manuscript. W.J and R.K.L pre-processed the brain imaging data.  ... 
doi:10.1177/0956797618808470 pmid:30499747 fatcat:p6x5m3uo4jdopgnpcggvrmyyy4

Mining network traffic data

Ljiljana Trajkovic
2009 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems  
Traffic data 2001 data set: -2 days of traffic data -2001-11-1 to 2001-11-02 (110,348 calls) 2002 data set: -28 days of continuous traffic data -2002-02-10 to 2002-03-09 (1,916,943 calls) 2003  ...  Roadmap Introduction Traffic data and analysis tools: -data collection, statistical analysis, clustering tools, prediction analysis Case studies: -wireless network: Telus Mobility -public safety wireless  ... 
doi:10.1109/icicisys.2009.5357946 fatcat:6b3gzaseffdnzmrcmoxgzzls4i

Thalamic changes in a preterm sample with periventricular leukomalacia: correlation with white-matter integrity and cognitive outcome at school age

Leire Zubiaurre-Elorza, Sara Soria-Pastor, Carme Junqué, Davinia Fernandez-Espejo, Dolors Segarra, Núria Bargalló, Camila Romano-Berindoague, Alfons Macaya
2012 Pediatric Research  
Thalamic volume and shape of 21 preterm children with PVL were compared with those of 11 preterm children of similar gestational age and birth weight with no evidence of focal WM abnormality.  ...  RESULTS: significant differences between groups were observed for global thalamic volume.  ...  between thalamic volume and cognitive variables FIQ, full intelligence quotient.Figure 1. shape correlation analysis between thalamic regions: (a) full intelligence quotient and (b) Working Memory Index  ... 
doi:10.1038/pr.2011.70 pmid:22391635 fatcat:4qqf5fifu5behhemfbogaaewi4

The Moderating Role of Business Intelligence in the Impact of Big Data on Financial Reports Quality in Jordanian Telecom Companies

Omar Mohammed Zragat
2020 Modern Applied Science  
This study aimed at discovering the impact of big data in terms of its dimensions (Variety, Velocity, Volume, and Veracity) on financial reports quality in the present business intelligence in terms of  ...  contributes to improving the impact of big data in terms of its dimensions (Volume, Velocity, Variety, and Veracity) on the quality of financial reports.  ...  0.000 0.378 21.913 0.000 Volume 0.140 2.765 0.007 Veracity 0.204 2.759 0.007 Table 11 . 11 Results of the fourth main hypothesis test H01, Hierarchical regression results to show the  ... 
doi:10.5539/mas.v14n2p71 fatcat:x5syqglpe5ghnpfiavvfld7hpy

Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence

Philip R. Jansen, Mats Nagel, Kyoko Watanabe, Yongbin Wei, Jeanne E. Savage, Christiaan A. de Leeuw, Martijn P. van den Heuvel, Sophie van der Sluis, Danielle Posthuma
2020 Nature Communications  
The phenotypic correlation between human intelligence and brain volume (BV) is considerable (r ≈ 0.40), and has been shown to be due to shared genetic factors.  ...  First, we conduct a large BV GWAS meta-analysis (N = 47,316 individuals), followed by functional annotation and gene-mapping.  ...  Acknowledgements The full GWAS summary statistics from the ENIGMA GWAS meta-analysis were downloaded from  ... 
doi:10.1038/s41467-020-19378-5 pmid:33154357 fatcat:ra2il4wsfjcilgnbjbgwhpmham


Yanmei Meng, Kangyuan Zheng, Wenxing Li, Haifeng Pang, Guancheng Lu, Guangquan Li
2015 International Journal on Smart Sensing and Intelligent Systems  
Combining with data-driven modeling and hybrid modeling method, the intelligent soft-sensor component for sugar cane crystallization process is implemented.  ...  According to the difficulties in measuring some key parameters, an intelligent integrated measuring and controlling system is researched by this paper.  ...  trend analysis component, multidimensional report analysis component and data import and export component.  ... 
doi:10.21307/ijssis-2017-825 fatcat:igipzbwgtbatdk6zgq4fmhil5e

Consistency of Medical Data Using Intelligent Neuron Faster R-CNN Algorithm for Smart Health Care Application

Seong-Kyu Kim, Jun-Ho Huh
2020 Healthcare  
To reduce the error rule when reading medical image data, a faster R-CNN intelligent agent cloud architecture is proposed.  ...  Therefore, this research is conducted through the CNN intelligent agent cloud architecture to verify errors in reading existing medical image data.  ...  The internal result of one left-input volume and filter is referred to as an activity map; in the example above, the filter (11 × 11 × 3) on the input volume of (227 × 227 × 227 × 3) is S = 4, P = 0, so  ... 
doi:10.3390/healthcare8020185 pmid:32630436 pmcid:PMC7349395 fatcat:dguf2hkmqjhlhckvv3rvhbvcfy

Face recognition subject to variations in facial expression, illumination and pose using correlation filters

Martin David Levine, Yingfeng Yu
2006 Computer Vision and Image Understanding  
D., Why and Where Local Shading Analysis Works, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 11, No. 2, February 1989, pp. 198-206. 45. Yokoya, N., Levine, M.  ...  Registering Multiview Range Data to Create 3D Computer Objects, IEEE Trans. Pattern Analysis and Machine Intelligence. Vol. 17, No. 8, August 1995, pp. 820-830. 30. Wu, K., Gauthier,D. Levine, M.D.  ... 
doi:10.1016/j.cviu.2006.06.004 fatcat:gmyrvl33lrahxen3wzh2ei6zre

Artificial intelligence and cardiovascular computed tomography

Paul Schoenhagen, Mathis Zimmermann
2018 Journal of Medical Artificial Intelligence  
© Journal of Medical Artificial Intelligence. All rights reserved.J Med Artif Intell 2018;1:11  ...  Modern "smart" computer systems allow collection and automated data analysis of large data sets, using artificial intelligence (AI)/machine learning (ML).  ... 
doi:10.21037/jmai.2018.10.01 fatcat:wu2cbjqdoverbdfidtsrvcqjlq

Customer Data Analysis Model using Business Intelligence Tools in Telecommunication Companies

Monica LIA
2015 Database Systems Journal  
This article presents a customer data analysis model in a telecommunication company and business intelligence tools for data modelling, transforming, data visualization and dynamic reports building .  ...  Business Intelligence tools are used in business organization as support for decision making.  ...  Fig. 10 . 10 Traffic Star Schema Fig. 11 . 11 Traffic ETL Stage WorkflowAfter data loading in stage, the data will modeled for data mart.  ... 
doaj:eef84cb1bf8a483ba5c5a7b61353cb09 fatcat:6nxufqx3ejh4ddzvyswqmj6noa

Machine Learning Algorithms for Traffic Flow Prediction

Kruthika G R, Sowmya B
2021 Zenodo  
To overcome this problem, traffic analyst has devised a variety of time-series speed forecasting methods, by using classical analysis methods and machine learning algorithm.  ...  Individuals need traffic flow management and analysis to better manage and route their everyday journeys, while transportation managers need it to schedule road infrastructure repair jobs appropriately  ...  IEEE Transactions on Intelligent Transportation Systems, 11(3), 630- 638. 11. Ma, Y., Chowdhury, M., Jeihani, M., & Fries, R. (2010).  ... 
doi:10.5281/zenodo.5438686 fatcat:bukpmcn5hfbznmkwfbxcddlbwa
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