المؤلفون: Xiao-Jun Feng (6159296), Ning Yan (73416), Yanqun Wang (591906), Ping Mei (314188), Wu Chen (569414), Lilin Lu (3947003), Lu Lai (2095138)

مصطلحات موضوعية: Biophysics, Biochemistry, Molecular Biology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, weight loss method, quinolinol reached 98, increase polarization resistance, frontier orbital distribution, density functional theory, bp neural networks, alkyl chain length, 5 -[( dodecylthio, interaction energy (<, corrosion inhibition studies, 06 %, respectively, nonlinear nn model, 2 , methyl ]- 8, int , cal , nn ), n80 steel surface, n80 steel, nn models, r <, e <, inhibition efficiencies

Relation: https://figshare.com/articles/journal_contribution/Corrosion_Inhibition_Studies_of_8_Hydroxyquinoline_Derivatives_for_N80_Steel_in_a_1_0_M_HCl_Solution_Experimental_Computational_Chemistry_and_Quantitative_Structure_Activity_Relationship_Studies/21776823

الاتاحة: https://doi.org/10.1021/acs.langmuir.2c02807.s001

المؤلفون: Junhui Lu (11259740), Huimin Zhang (1428787), Jinhui Yu (714072), Dezun Shan (11259743), Ji Qi (49471), Jiawen Chen (589546), Hongwei Song (1509988), Minghui Yang (588064)

مصطلحات موضوعية: Biophysics, Biochemistry, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, prediction accuracy, results show, NN models, site-specific reaction constants, title reactions, chemical properties, rate constants, Hydroxyl Radical Reactions, temperature-dependent site-specific., hydrogen abstraction reactions, site-specific rate constants, 11 reactions, Machine Learning, combustion chemistry

Relation: https://figshare.com/articles/journal_contribution/Predicting_Rate_Constants_of_Hydroxyl_Radical_Reactions_with_Alkanes_Using_Machine_Learning/15147998

الاتاحة: https://doi.org/10.1021/acs.jcim.1c00809.s001

المؤلفون: Kiran Paidipati, Arjun Banik

المصدر: EAI Endorsed Transactions on Scalable Information Systems, Vol 7, Iss 24 (2020)

مصطلحات موضوعية: food security, rice cultivation, arima and lstm-nn models, Management information systems, T58.6-58.62

وصف الملف: electronic resource

Relation: https://eudl.eu/pdf/10.4108/eai.13-7-2018.161409; https://doaj.org/toc/2032-9407

URL الوصول: https://doaj.org/article/71e417bf8f8c4fbe9594c0813eb4adb8

المؤلفون: F. Raspagliesi, G. Bogani, S. Benedetti, S. Grassi, S. Ferla, S. Buratti

المساهمون: F. Raspagliesi, G. Bogani, S. Benedetti, S. Grassi, S. Ferla, S. Buratti

مصطلحات موضوعية: ovarian cancer, early diagnosi, electronic nose, MOS sensor, K-NN models, Settore MED/06 - Oncologia Medica

Relation: info:eu-repo/semantics/altIdentifier/pmid/32854242; info:eu-repo/semantics/altIdentifier/wos/WOS:000580373400001; volume:12; issue:9; firstpage:1; lastpage:13; numberofpages:13; journal:CANCERS; http://hdl.handle.net/2434/767990; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85090522775

الاتاحة: http://hdl.handle.net/2434/767990
https://doi.org/10.3390/cancers12092408

المؤلفون: Huu Tran, B.J.C. Perera, A.W.M. NG

مصطلحات موضوعية: Infrastructure engineering and asset management, Asset managers, Australia, Case studies, Closed circuits, Condition assessments, Deterioration, Drainage, Hydraulic conditions, Input factors, Local governments, Melbourne, Neural networks, Nn models, Ordered probit models, Predictive performances, Significant factors, Stormwater drainages, Structural conditions, Structural defects, Structural deteriorations

Relation: 10779/rmit.27454356.v1; https://figshare.com/articles/journal_contribution/Comparison_of_structural_deterioration_models_for_stormwater_drainage_pipes/27454356

الاتاحة: https://figshare.com/articles/journal_contribution/Comparison_of_structural_deterioration_models_for_stormwater_drainage_pipes/27454356

المؤلفون: T. R. Neelakantan, K. P. Sudheer, K. Srinivasan, V. V. Srinivas

المصدر: IndraStra Global.

مصطلحات موضوعية: Hydrology, Artificial neural network, Autocorrelation, Extrapolation, Civil Engineering, Automatic train control, Blending, Drought, Eigenvalues and eigenfunctions, Feedforward neural networks, Food preservation, Hybrid sensors, Image classification, Mathematical models, Neural networks, Radial basis function networks, Real time systems, Stream flow, Artificial Neural Network (ANN) models, Artificial neural network (ANNs), Case studies, Data driven (DD), Data-driven modeling, Geographic regions, Hybrid model (HM), Linear dependences, Marginal distributions, Neural network (NN) models, Non linear modeling, Non-linear, Non-linearities, Non-parametric, Nonlinear data, Radial-basis function (RBF), Re sampling, Storage characteristics, Stream flow records, Synthetic generation, Backpropagation, artificial neural network, bootstrapping, hydrological modeling, parameterization, radial flow, river flow, sampling, smoothing, streamflow, Africa, North America, United States, USSR, Skewness, Resampling, Marginal distribution, Algorithm, Smoothing, Water Science and Technology, Parametric statistics, Mathematics

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::922b907e2d2373d7038fd366dc845522