Keyword search (4,163 papers available)

"An H" Authored Publications:

Title Authors PubMed ID
1 Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H; 41592994
CONCORDIA
2 Establishing work productivity loss norms: Absenteeism and presenteeism in a Canadian working population Zhang W; Qian H; L' Heureux J; Johns G; Koehoorn M; Woodcock S; 41469277
JMSB
3 Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review Jafarpour H; Wu G; Cheligeer CK; Yan J; Xu Y; Southern DA; Eastwood CA; Zeng Y; Quan H; 41072367
ENCS
4 Pseudocapacitive MXene@Fe-TA ternary mediator enhances denitrification via optimized electron transfer and microbial regulation in wastewater treatment Pan S; Wang X; Guo T; An H; Guo Y; Chen Z; Lian J; Guo J; 41043789
ENCS
5 A dataset from a coordinated multi-site laboratory study investigating the Hue-Heat-Hypothesis Bavaresco M; Cureau RJ; Pigliautile I; Barna E; Deme Belafi Z; Belussi L; Chinazzo G; Chiucchiù A; Danza L; Deng Z; Dong B; Gapski NH; Garlet L; Gnecco VM; Guo X; Pilehchi Ha P; Karimian H; Lamberts R; Liu S; da Costa Loeser B; Massucci C; Melo AP; Nagy BV; Ouf MM; Salamone F; Schweiker M; Pisello AL; 40973711
ENCS
6 Adaptive finite-time synchronized control of multi-robotic fiber placement system with model uncertainties and disturbances Zhang R; Wang Y; Xie W; Li P; Tan H; Jiang Y; 40461302
ENCS
7 Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H; 40105654
ENCS
8 Impact of a national dementia research consortium: The Canadian Consortium on Neurodegeneration in Aging (CCNA) Chertkow H; Phillips N; Rockwood K; Anderson N; Andrew MK; Bartha R; Beaudoin C; Bélanger N; Bellec P; Belleville S; Bergman H; Best S; Bethell J; Bherer L; Black S; Borrie M; Camicioli R; Carrier J; Cashman N; Chan S; Crowshoe L; Cuello C; Cynader M; Dang-Vu T; Das S; Dixon RA; Ducharme S; Einstein G; Evans AC; Fahnestock M; Feldman H; Ferland G; Finger E; Fisk JD; Fogarty J; Fon E; Gan-Or Z; Gauthier S; Greenwood C; Henri-Bellemare C; Herrmann N; Hogan DB; Hsiung R; Itzhak I; Jacklin K; Lanctôt K; Lim A; MacKenzie I; Masellis M; Maxwell C; McAiney C; McGilton K; McLaurin J; Mihailidis A; Mohades Z; Montero-Odasso M; Morgan D; Naglie G; Nygaard H; O' Connell M; Petersen R; Pilon R; Rajah MN; Rapoport M; Roach P; Robillard JM; Rogaeva E; Rosa-Neto P; Rylett J; Sadavoy J; St George-Hyslop P; Seitz D; Smith E; Stefanovic B; Vedel I; Walker JD; Wellington C; Whitehead V; Wittich W; 39636028
HKAP
9 Identifying personalized barriers for hypertension self-management from TASKS framework Yang J; Zeng Y; Yang L; Khan N; Singh S; Walker RL; Eastwood R; Quan H; 39143621
ENCS
10 Myelin basic protein mRNA levels affect myelin sheath dimensions, architecture, plasticity, and density of resident glial cells Bagheri H; Friedman H; Hadwen A; Jarweh C; Cooper E; Oprea L; Guerrier C; Khadra A; Collin A; Cohen-Adad J; Young A; Victoriano GM; Swire M; Jarjour A; Bechler ME; Pryce RS; Chaurand P; Cougnaud L; Vuckovic D; Wilion E; Greene O; Nishiyama A; Benmamar-Badel A; Owens T; Grouza V; Tuznik M; Liu H; Rudko DA; Zhang J; Siminovitch KA; Peterson AC; 39023138
CSBN
11 Translating the Interplay of Cognition and Physical Performance in COPD and Interstitial Lung Disease: Meeting Report and Literature Review Rozenberg D; Reid WD; Camp P; Campos JL; Dechman G; Davenport PW; Egan H; Fisher JH; Guenette JA; Gold D; Goldstein RS; Goodridge D; Janaudis-Ferreira T; Kaplan AG; Langer D; Marciniuk DD; Moore B; Orchanian-Cheff A; Otoo-Appiah J; Pepin V; Rassam P; Rotenberg S; Ryerson C; Spruit MA; Stanbrook MB; Stickland MK; Tom J; Wentlandt K; 38901488
HKAP
12 An Automated Single-Cell Droplet-Digital Microfluidic Platform for Monoclonal Antibody Discovery Ahmadi F; Tran H; Letourneau N; Little SR; Fortin A; Moraitis AN; Shih SCC; 38441226
BIOLOGY
13 How to present work productivity loss results from clinical trials for patients and caregivers? A mixed methods approach L' Heureux J; McTaggart-Cowan H; Johns G; Chen L; Steiner T; Tocher P; Sun H; Zhang W; 37276772
JMSB
14 Surgical margin assessment of bone tumours: A systematic review of current and emerging technologies Shoman H; Al-Kassmy J; Ejaz M; Matta J; Alakhras S; Kahla K; D' Acunto M; 36845345
ENCS
15 Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review Yang L; Kuang A; Xu C; Shewchuk B; Singh S; Quan H; Zeng Y; 36811938
ENCS
16 Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol Wu G; Eastwood C; Zeng Y; Quan H; Long Q; Zhang Z; Ghali WA; Bakal J; Boussat B; Flemons W; Forster A; Southern DA; Knudsen S; Popowich B; Xu Y; 36197944
ENCS
17 Data Analysis and Knowledge Mining of Machine Learning in Soil Corrosion Factors of the Pipeline Safety Zhao Z; Chen M; Fan H; Zhang N; 35571701
ENCS
18 Application of Machine Learning in the Reliability Evaluation of Pipelines for the External Anticorrosion Coating Zhao Z; Chen M; Fan H; Zhang N; 35371236
ENCS
19 Consensus Statement Regarding the Application of Biogen to Health Canada for Approval of Aducanumab Chertkow H; Rockwood K; Hogan DB; Phillips N; Montero-Odasso M; Amanullah S; Black S; Bocti C; Borrie M; Feldman H; Freedman M; Hsiung R; Kirk A; Masellis M; Nygaard H; Rajji T; Verret L; 34912492
PSYCHOLOGY
20 COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data. Bond-Lamberty B, Christianson DS, Malhotra A, Pennington SC, Sihi D, AghaKouchak A, Anjileli H, Altaf Arain M, Armesto JJ, Ashraf S, Ataka M, Baldocchi D, Andrew Black T, Buchmann N, Carbone MS, Chang SC, Crill P, Curtis PS, Davidson EA, Desai AR, Drake JE, El-Madany TS, Gavazzi M, Görres CM, Gough CM, Goulden M, Gregg J, Gutiérrez Del Arroyo O, He JS, Hirano T, Hopple A, Hughes H, Järveoja J, Jassal R, Jian J, Kan H, Kaye J, Kominami Y, Liang N, Lipson D, Macdonald CA, Maseyk K, Mathes K, Mauritz M, Mayes 33026137
ENCS
21 Antagonistic interactions between two MAP kinase cascades in plant development and immune signaling. Sun T, Nitta Y, Zhang Q, Wu D, Tian H, Lee JS, Zhang Y 29789386
BIOLOGY
22 Effects of pool size and spacing on burning rate and flame height of two square heptane pool fires. Wan H, Gao Z, Ji J, Zhang Y, Li K, Wang L 30776594
ENCS
23 Mms21: A Putative SUMO E3 Ligase in Candida albicans That Negatively Regulates Invasiveness and Filamentation, and Is Required for the Genotoxic and Cellular Stress Response. Islam A, Tebbji F, Mallick J, Regan H, Dumeaux V, Omran RP, Whiteway M 30530734
PERFORM

 

Title:Data Analysis and Knowledge Mining of Machine Learning in Soil Corrosion Factors of the Pipeline Safety
Authors:Zhao ZChen MFan HZhang N
Link:https://pubmed.ncbi.nlm.nih.gov/35571701/
DOI:10.1155/2022/9523878
Publication:Computational intelligence and neuroscience
Keywords:
PMID:35571701 Category: Date Added:2022-05-16
Dept Affiliation: ENCS
1 School of Electronic Engineering, Xi'an Shiyou University, Xi'an 710065, China.
2 Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal H3G2W1, Canada.

Description:

The purpose of this research is to enhance the ability of data analysis and knowledge mining in soil corrosion factors of the pipeline. According to its multifactor characteristics, the rough set algorithm is directly used to analyze and process the observation data without considering any prior information. We apply rough set algorithm to delete the duplicate same information and redundant items and simplify the condition attributes and decision indicators from the decision table. Combined with the simplified index, the decision tree method is used to analyze the root node and branch node of it, and the knowledge decision model is constructed. With the Python machine learning language and PyCharm Community Edition software, the algorithm functions of rough set and decision tree are realized, so as to carry out artificial intelligence analysis and judgment of the soil corrosion factor data in pipeline. Taking the area of loam soil corrosion as an example, the data analysis and knowledge mining of its multifactors original data are carried out through the model. The example verifies that the evaluation and classification rules of the model meet the requirements, and there are no problems such as inconsistency and heterogeneity. It provides decision-making service and theoretical basis for the soil corrosion management of pipeline.





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