|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A shrinking particle-shrinking core model for leaching of a zinc ore containing silica显示文摘 | Vida Safari G A Fereshteh Rashchi Navid Mostoufi | 2009 | Mineral Processing2009，93，1： | 1 |
| 2 | Hierarchical frame aggregation techniques for hybrid fiber-wireless access networks显示文摘 | Navid G Martin M | 2011 | IEEECommunications Magazine2011，49，1： | 1 |
| 3 | Lyapunov- Based Adaptive State of Charge and State of Health Es-timation for Lithium-Ion Batteries 显示文摘 | HICHAM C NAVID G IMAD H | 2015 | IEEE Transac- tions on Industrial Electronics2015，62，3： | 1 |
| 4 | Great vessel and cardiac trauma: diagnostic and management strategies显示文摘 | Navid F Gleason T G | 2008 | Semin Thorac Cardiovasc Surg2008，20，： | 1 |
| 5 | Phase Ii trial of ixabepilone administered daily for five days in chil- dren and young adults with refractory solid tumors: a repori from the children' s oncology group 显示文摘 | Jacobs S Fox E Krailo M Hartley G Navid F Wexler L | 2010 | Clin Cancer Res2010，16，2： | 1 |
| 6 | Neuroscience and architecture:What does the brain tell to an emotional experience of architecture via a functional MR study?显示文摘Environment psychologically affects individuals.According to the base of cognitive psychology,there is a direct relationship between human behavior,environment,and emotional process.Assuming that pleasantness and unpleasantness are associated with peripheral nervous system activation,the current study aims to explore if the pleasant or unpleasant architectural places can stimulate the brain regions engaged in emotions or not.As the main contribution,we used functional magnetic resonance imaging(fMRI)measuring blood oxygenation level-dependent(BOLD)changes to effectively detect the brain’s region that mainly responds to the emotional-perceptual processes.Based on the results of examining the emotional assessment model of “Pleasure-Arousal”applied to 140 students,30 most-rated images representing 15 pleasant and 15 unpleasant places were shown to 32 participants in a 1.5-T MRI scanner.After applying standard preprocessing steps(re-alignment,slice-timing,coregistration,segmentation,normalization,and smoothing)to functional MR images,first-level analysis was applied to each subject.The results were evaluated using statistical corrections at different levels for female and male participants with the second-level analysis.In conclusion,it has been shown that there is a significant linkage between environmental experience and brain activation so that the architectural qualities can change blood flow in specific brain regions. | Navid Khaleghimoghaddam Havva Alkan Bala Güzin Ozmen Şerefnur Oztürk | 2022 | Frontiers of Architectural Research2022，11，5： | 1 |
| 7 | Ensemble unit and Al techniques for prediction of rock strain显示文摘The behavior of rock masses is influenced by a variety of forces,with measurement of stress and strain playing the most critical roles in assessing deformation.The laboratory test for determining strain at each location within rock samples is expensive and difficult but rock strain data are important for predicting failure of rock material.Many researchers employ AI technology in order to solve these difficulties.AI algorithms such as gradient boosting machine(GBM),support vector regression(SVR),random forest(RF),and group method of data handling(GMDH)are used to efficiently estimate the strain at every point within a rock sample.Additionally,the ensemble unit(EnU)may be utilized to evaluate rock strain.In this study,3000 experimental data are used for the purpose of prediction.The obtained strain values are then evaluated using various statistical parameters and compared to each other using EnU.Ranking analysis,stress-strain curve,Young’s modulus,Poisson’s ratio,actual vs.predicted curve,error matrix and the Akaike’s information criterion(AIC)values are used for comparing models.The GBM model achieved 98.16%and 99.98%prediction accuracy(in terms of values of R2)in the longitudinal and lateral dimensions,respectively,during the testing phase.The GBM model,based on the experimental data,has the potential to be a new option for engineers to use when assessing rock strain. | Pradeep T Pijush SAMUI Navid KARDANI Panagiotis G ASTERIS | 2022 | Frontiers of Structural and Civil Engineering2022，16，7： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员