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1Thermal analysis control of in-mould and ladle inoculated grey cast irons显示文摘The effect of addition of 0.05wt.% to 0.25 wt.% Ca,Zr,Al-FeSi alloy on in-ladle and in-mould inoculation of grey cast irons was investigated.In the present paper,the conclusions drawn are based on thermal analysis.For the solidification pattern,some specific cooling curves characteristics,such as the degree of undercooling at the beginning of eutectic solidif ication and at the end of solidifi cation,as well as the recalescence level,are identif ied to be more influenced by the inoculation technique.The degree of eutectic undercooling of the electrically melted base iron having 0.025% S,0.003% Al and 3.5% Ce is excessively high(39-40℃),generating a relatively high need for inoculation.Under these conditions,the in-mould inoculation has a more signif icant effect compared to ladle inoculation,especially at lower inoculant usage(less than 0.20 wt.%).Generally,the eff iciency of 0.05wt.% -0.15wt.% of alloy for in-mould inoculation is comparable to,or better than,that of 0.15wt.% -0.25wt.% addition in ladle inoculation procedures.In order to secure stable and controlled processes,representative thermal analysis parameters could be used,especially in thin wall grey iron castings production.Mihai Chisamera Iulian Riposan Stelian Stan Eduard Stefan George Costache 2009China Foundry2009,6,2:4
2GIS-based landslide susceptibility modeling:A comparison between fuzzy multi-criteria and machine learning algorithms显示文摘Hazards and disasters have always negative impacts on the way of life.Landslide is an overwhelming natural as well as man-made disaster that causes loss of natural resources and human properties throughout theworld.The present study aimed to assess and compare the prediction efficiency of different models in landslide susceptibility in the Kysuca river basin,Slovakia.In this regard,the fuzzy decision-making trial and evaluation laboratory combining with the analytic network process(FDEMATEL-ANP),Naïve Bayes(NB)classifier,and random forest(RF)classifier were considered.Initially,a landslide inventory map was produced with 2000 landslide and nonlandslide points by randomly dividedwith a ratio of 70%:30%for training and testing,respectively.The geospatial database for assessing the landslide susceptibility was generated with the help of 16 landslide conditioning factors by allowing for topographical,hydrological,lithological,and land cover factors.The ReliefF methodwas considered for determining the significance of selected conditioning factors and inclusion in the model building.Consequently,the landslide susceptibility maps(LSMs)were generated using the FDEMATEL-ANP,Naïve Bayes(NB)classifier,and random forest(RF)classifier models.Finally,the area under curve(AUC)and different arithmetic evaluation were used for validating and comparing the results and models.The results revealed that random forest(RF)classifier is a promising and optimum model for landslide susceptibility in the study area with a very high value of area under curve(AUC=0.954),lower value of mean absolute error(MAE=0.1238)and root mean square error(RMSE=0.2555),and higher value of Kappa index(K=0.8435)and overall accuracy(OAC=92.2%).Sk Ajim Ali Farhana Parvin Jana Vojteková Romulus Costache Nguyen Thi Thuy Linh Quoc Bao Pham Matej Vojtek Ljubomir Gigović Ateeque Ahmad Mohammad Ali Ghorbani 2021Geoscience Frontiers2021,12,2:3
3Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network:A Case Study of Vietnam显示文摘Flash floods are one of the most dangerous natural disasters,especially in hilly terrain,causing loss of life,property,and infrastructures and sudden disruption of traffic.These types of floods are mostly associated with landslides and erosion of roads within a short time.Most of Vietnamis hilly and mountainous;thus,the problem due to flash flood is severe and requires systematic studies to correctly identify flood susceptible areas for proper landuse planning and traffic management.In this study,three Machine Learning(ML)methods namely Deep Learning Neural Network(DL),Correlation-based FeatureWeighted Naive Bayes(CFWNB),and Adaboost(AB-CFWNB)were used for the development of flash flood susceptibility maps for hilly road section(115 km length)of National Highway(NH)-6 inHoa Binh province,Vietnam.In the proposedmodels,88 past flash flood events were used together with 14 flash floods affecting topographical and geo-environmental factors.The performance of themodels was evaluated using standard statisticalmeasures including Receiver Operating Characteristic(ROC)Curve,Area Under Curve(AUC)and Root Mean Square Error(RMSE).The results revealed that all the models performed well(AUC>0.80)in predicting flash flood susceptibility zones,but the performance of the DL model is the best(AUC:0.972,RMSE:0.352).Therefore,the DL model can be applied to develop an accurate flash flood susceptibility map of hilly terrain which can be used for proper planning and designing of the highways and other infrastructure facilities besides landuse management of the area.Huong Thi Thanh Ngo Nguyen Duc Dam Quynh-Anh Thi Bui Nadhir Al-Ansari Romulus Costache Hang Ha Quynh Duy Bui Sy Hung Mai Indra Prakash Binh Thai Pham 2023Computer Modeling in Engineering & Sciences2023,,6:2
4Early Amplatzer occluder closure of a postinfarct ventricular septal defect as a bridge to surgical procedure显示文摘Costache VS Chavanon O Bouvaist H 2007Interact Cardiovasc Thorac Surg2007,,4:1
5Early amplatzer occluder closure of a postinfarct ventricular septal defect as a bridge to surgical procedure 显示文摘Costache VS Chavanon O Bouvaist H 2007Interact Cardiovasc Thorac Surg2007,6,4:1
6Propagation of transients in dispersive dielectric media显示文摘 Stuchly S S Costache G I 1991IEEE Trans MTT1991,39,7:1
7Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province, Vietnam显示文摘The groundwater potential map is an important tool for a sustainable water management and land use planning,particularly for agricultural countries like Vietnam.In this article,we proposed new machine learning ensemble techniques namely AdaBoost ensemble(ABLWL),Bagging ensemble(BLWL),Multi Boost ensemble(MBLWL),Rotation Forest ensemble(RFLWL)with Locally Weighted Learning(LWL)algorithm as a base classifier to build the groundwater potential map of Gia Lai province in Vietnam.For this study,eleven conditioning factors(aspect,altitude,curvature,slope,Stream Transport Index(STI),Topographic Wetness Index(TWI),soil,geology,river density,rainfall,land-use)and 134 wells yield data was used to create training(70%)and testing(30%)datasets for the development and validation of the models.Several statistical indices were used namely Positive Predictive Value(PPV),Negative Predictive Value(NPV),Sensitivity(SST),Specificity(SPF),Accuracy(ACC),Kappa,and Receiver Operating Characteristics(ROC)curve to validate and compare performance of models.Results show that performance of all the models is good to very good(AUC:0.75 to 0.829)but the ABLWL model with AUC=0.89 is the best.All the models applied in this study can support decision-makers to streamline the management of the groundwater and to develop economy not only of specific territories but also in other regions across the world with minor changes of the input parameters.Hoang Phan Hai Yen Binh Thai Pham Tran Van Phong Duong Hai Ha Romulus Costache Hiep Van Le Huu Duy Nguyen Mahdis Amiri Nguyen Van Tao Indra Prakash 2021Geoscience Frontiers2021,12,5:1
8Early amplatzer occluder closure of a postinfarci ventricular septal defect as a bridge to surgical procedure 显示文摘Costache VS Chavanon 0 Bouvaist H 2007Interact Cardiovasc Thorac Surg2007,6,:1
9SPICE simulation used to characterize the cross--talk reduction effect of additional tracks grounded with vias on printed circuit boards 显示文摘Ladd D N Costache G I 1992IEEE Trans on Circuits Systems1992,39,6:1
10Relationship of eNOS gene variants to diseases that have in common an endothelial cell dysfunction显示文摘Heltianu C Costache G Gafencu A 2005J Cell Mol Med2005,9,1:1
11Single-dose haloperidol for the prophylaxis of postoperative nausea and vomiting after intrathecal morphine 显示文摘Parlow J L Costache I Avery N 2004Anesth Analg2004,98,4:1
12The influence of carbon nanotubes, organically modi-fled montmorillonites and layered double hydroxides on the thermal degradation and fire retardancy of polyethylene, ethylene-vinyl acetate copolymer and polystyrene显示文摘COSTACHE M C HEIDECKER M J MANIAS E 2007Pol- ymer2007,48,22:1
13Recurrent sternal infection following treatment with negative pressure wound therapy and titanium transverse plate fixation显示文摘Gaudreau G Costache V Houde C 2010Eur J Cardiothorac Surg2010,37,4:1
14Femtosecond laser ablation from sodium chloride and barium fluoride显示文摘Henyk M Costache F Reif J 2002Appl Surf Sci2002,186,1:1
15Preparation, craracterization, and metal - sorption studies of a mordant yellow 10 - loaded wool, a new stable chelating material based on bleached wool 显示文摘Vladescu L Costache M Badea I 2004Acta Chmatograthica2004,14,:1
16Thermal degradation of ethylene - vinyl acetate copolymer nanocomposites 显示文摘Costache M C Jiang D D Wilkie C A 2005Polymer2005,46,18:1
17The thermal degradation of poly(methyl methacrylate) nano- composites with montmorillonite, layered double hydroxides and carbon nanotubes显示文摘Costache M C Wang D Y Heidecker M J 2006Polym Adv Tech2006,17,4:1
18Extracellular matrix is modulated in advancedglycation end products milieu via a RAGE receptor dependentpathway boosted by transforming growth factor-beta1 RAGE显示文摘Serban AI Stanca L Geicu OI Munteanu MC Costache M Dinischiotu A 2015J Diabetes2015,7,1:1
19Sudden death due to arrhythmogenic right ventricular cardiomyopathy associated with hemodynamically significant myocardial bridging显示文摘Dermengiu S Costache M Hostiuc S 2014Rom J Leg Med2014,22,2:1
20Ultra short laser pulse ablation from sodium chloride-the role of laser induced color centers显示文摘Henyk M Costache F Reif J 2002Appl Surf Sci2002,197,:1
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