检索结果-南通市图书馆

An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical Data:A COVID-19 Case Study

在线全文

学校读者我要写书评

暂无评论

Journal of Bionic Engineering 2024年第1期21卷 426-446页

作者： ali Fatahi mohammad H.Nadimi-Shahraki Hoda Zamani Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityNajafabad ***Iran Big Data Research Center Najafabad BranchIslamic Azad UniversityNajafabad ***Iran

Feature Subset Selection(FSS)is an NP-hard problem to remove redundant and irrelevant features particularly from medical data,and it can be effectively addressed by metaheuristic ***,existing binary versions of metaheuristic algorithms have issues with convergence and lack an effective binarization method,resulting in suboptimal solutions that hinder diagnosis and prediction *** paper aims to propose an Improved Binary Quantum-based Avian Navigation Optimizer Algorithm(IBQANA)for FSS in medical data preprocessing to address the suboptimal solutions arising from binary versions of metaheuristic *** proposed IBQANA’s contributions include the Hybrid Binary Operator(HBO)and the Distance-based Binary Search Strategy(DBSS).HBO is designed to convert continuous values into binary solutions,even for values outside the[0,1]range,ensuring accurate binary *** the other hand,DBSS is a two-phase search strategy that enhances the performance of inferior search agents and accelerates *** combining exploration and exploitation phases based on an adaptive probability function,DBSS effectively avoids local *** effectiveness of applying HBO is compared with five transfer function families and thresholding on 12 medical datasets,with feature numbers ranging from 8 to 10,***'s effectiveness is evaluated regarding the accuracy,fitness,and selected features and compared with seven binary metaheuristic ***,IBQANA is utilized to detect *** results reveal that the proposed IBQANA outperforms all comparative algorithms on COVID-19 and 11 other medical *** proposed method presents a promising solution to the FSS problem in medical data preprocessing.

关键词： Feature subset selection Optimization Binary metaheuristic algorithms Bioinspired Machine learning Medical datasets

Numerical simulation of sedimentation process in reservoirs and development of a non-coupled algorithm to improve long-term modeling

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Sediment Research 2019年第3期34卷 279-294页

作者： Zeinab Khorrami mohammad ali Banihashemin School of Civil Engineering University College of Engineering University of Tehran

This paper investigates the validity of a quasi-steady approximation for sediment transport and presents a new algorithm based on this concept. The developed non-coupled algorithm interacts among hydrodynamic, sediment, and morphology modules which are based on depth-averaged Navier-Stokes equations for the flow, the three-dimensional equation of conservation of sediment, and the mass balance between the bed and sediment(Exner equation) to simulate the reservoir sedimentation process. The non-coupled algorithm solves both the short-term scale and the relatively long-term scale problems of reservoir sedimentation. The proposed algorithm is verified using field data and by comparison with other accurate algorithms. Based upon the results of this investigation, the developed algorithm can be used to simulate long-term reservoir sedimentation while considerably decreasing the computational costs and preserving computational accuracy. The computational cost of the noncoupled algorithm is about 97% less than the conventional semi-coupled approach whereas the errors(Root Mean Square Error, Average Relative Error, and Maximum Relative Error of bed level) of the developed algorithm are approximately 15% greater than those for the semi-coupled algorithm for the average value.

关键词： Long-term simulation Reservoir Coupling algorithm Sediment and morphology Non-coupled Semi-coupled

Enhancement of gut permeation of amoxicillin with Nigella sativa seed extract and its phytochemical screening

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Natural Medicines 2018年第2期16卷 125-130页

作者： Babar ali mohammad ali Saima Amin Showkat R.Mir College of Pharmacy and Dentistry Buraydah Colleges Phytopharmaceuticals Research Lab Department of Pharmacognosy and Phytochemistry School of Pharmaceutical Education and Research (Formerly Faculty of Pharmacy) Jamia Hamdard

The seeds of Nigella sativa Linn.(Ranunculaceae), commonly known as Black cumin, are predominantly used as carminative, antispasmodic, and stimulant. The main objective of the present study was to evaluate the effect of N. sativa seed extract on the permeation of co-infused amoxicillin across the gut wall. The methanolic extract of N. sativa improved intestinal permeability of amoxicillin in in-vitro experiments in a dose-dependent manner. Two new glycosides, decanyl nigelloic acid diglucoside [n-decanyl-3-aldehydic-4-methoxy-5-hydroxy benzoate-5-β-D-glucofuranosyl(2→1)-β-D-glucopyranosyl-(2→1)-β-D-glucopyranoside]] and nigelabdienoyl triglucoside [homo-labd-5, 9(11)-dien-16-onyl-β-D-glucopyranosyl(2→1)-β-D-glucopyranosyl(2→1)-β-D-glucopyranoside], along with seven known fatty acid glycerides/esters, were isolated from the gut permeation enhancing extract. The structures of these new glycosides were elucidated by detailed spectroscopic analyses.

关键词： Nigella sativa Everted rat sac Homolabdane Amoxicillin Bioavailability

Dynamics and bifurcations of a host-parasite model

在线全文

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2017年第6期10卷 301-316页

作者： ali Atabaigi mohammad Hossein Akrami Department of Mathematics Razi University Kermanshah Iran Department of Mathematical Sciences Yazd University Yazd Iran

A two-parameter family of discrete models, consisting of two coupled nonlinear difference equations, describing a host-parasite interaction is considered. In particular, we prove that the model has at most one nontrivial interior fixed point which is stable for a certain range of parameter values and also undergoes a Neimark-Sacker bifurcation that produces an attracting invariant curve in some areas of the parameter.

关键词： Host-parasite Neimark-Sacker bifurcation local dynamics.

Integration of Core Data, Well Logs and Seismic Attributes for Identification of the Low Reservoir Quality Units with Unswept Gas in the Carbonate Rocks of the World's Largest Gas Field

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Earth Science 2017年第5期28卷 857-866页

作者： mohammad ali Faraji ali Kadkhodaie Reza Rezaee David A.Wood Department of Geology College of Science University of Tehran Earth Science Department Faculty of Natural Science University of Tabriz Department of Petroleum Engineering Curtin University DWA Energy Limited

Tight zones of the gas bearing Kangan and Dalan formations of the South Pars gas field contain a considerable amount of unswept gas due to their low porosity, low permeability and isolated pore types. The current study, integrates core data, rock elastic properties and 3D seismic attributes to delineate fight and low-reservoir-quality zones of the South Pars gas field. In the first step, the dynamic reservoir geomechanical parameters were calculated based on empirical relationships from well log data. The log-derived elastic moduli were validated with the available laboratory measurements of core data. Cross plots between estimated porosity and elastic parameters based on Young＇s modulus indicate that low porosity zone coincide with high values of Young＇s module. The results were validated with petro- graphic studies of the available thin sections. The core samples with low porosity and permeability are correlated with strong rocks with tight matrix frameworks and high elastic values. Subsequently, rock elastic properties including Young＇s modulus and Poisson＇s ratio along with porosity were estimated by using neural networks from a collection of 3D post-stack seismic attributes, such as acoustic impedance （ALl）, instantaneous phase of ai and apparent polarity. Distinguishing low reservoir quality areas in pay zones with unswept gas is then facilitated by locating low porosity and high elastic modulus values. An- hydrite zones are identified and eliminated as non-pay zones due to their characterization of zero porosi- ty and high Young modulus values. The methodology described has applications for unconventional re- servoirs more generally, because it is able to distinguish low porosity and permeability zones that are po- tentially productive from those unprospective zones with negligible reservoir quality.

关键词： tight zones unswept gas elastic parameters reservoir quality seismic attributes South Pars gas field.

Electrocatalytic oxidation of hydrazine with alizarin red S as a homogenous mediator on the glassy carbon electrode

在线全文

学校读者我要写书评

暂无评论

Science China Chemistry 2010年第5期53卷 1194-1200页

作者： mohammad Mazloum-Ardakani Roya Mazidi mohammad Hossein Mashhadizadeh Parvanah Rahimi mohammad ali Karimi Department of Chemistry Faculty of ScienceYazd University Department of Chemistry Payam Noor UniversityArdakan Center Department of Chemistry Faculty of ScienceTarbiat Moalem University Department of Chemistry Faculty of SciencePayam Noor UniversitySirjan Center

Electro-catalytic oxidation and detection of hydrazine on a glassy carbon electrode,at pH 6.0,was studied by using alizarin red S as a homogeneous *** overall number of electrons involved in the catalytic oxidation of hydrazine and that involved in the rate-determining step were four and one,*** interfering effect of some cations,anions and organic compounds were *** current for this process varied linearly with the square root of the scan *** kinetic parameters,such as the electron transfer coefficient(α) and catalytic rate constant(k) ,were determined using cyclic voltammetry,linear sweep voltammetry and *** electro-catalytic response was optimized with regards to the pH,scan rate,hydrazine concentration and other variables.

关键词： alizarin red S hydrazine glassy carbon electrode electro-catalytic oxidation voltammetry

A fuzzy logic model to predict the out-of-seam dilution in longwall mining

在线全文

学校读者我要写书评

暂无评论

International Journal of Mining Science and Technology 2015年第1期25卷 91-98页

作者： ali Bahri Najafi mohammad ali Ebrahimi Farsangi Golam Reza Saeedi Mining Engineering Department Shahid Bahonar University of Kerman

The longwall mining method is often affected by the out-of-seam dilution （OSD）. Therefore, predicting and controlling of dilution are important factors for reducing mining costs. In this study, the fuzzy set theory and multiple regression models with parameters, including variation in seam thickness, dip of seam, seam thickness, depth of seam, and hydraulic radius as inputs to the models were applied to pre- dict the OSD in the longwall coal panels. Field data obtained from Kerman and Tabas coal mines, lran were used to develop and validate the models. Three indices including coefficient of determination （R2）, root mean square error （RMSE） and variance account for （VAF） were used to evaluate the perfor- mance of the models. With 10 randomly selected datasets, for the linear, polynomial, power, exponential, and fuzzy logic models, R2, RSME and VAF are equal to （0.85, 4.4, 84.4）, （0.61, 7.5, 59.6）, （0.84, 4.5, 72.7）, （0.80, 4.1, 79.6）, and （0.97, 2.1, 95.7）, respectively. The obtained results indicate that the fuzzy logic model predictor with R2 = 0.97, RMSE = 2.1, and VAF = 95.7 performs better than the other models.

关键词： Out-of-seam dilutionLongwall coal miningRegression modelingFuzzy set theoryKerman and Tabas coal mines

Comparison of machine learning methods for estimating permeability and porosity of oil reservoirs via petro-physical logs

在线全文

学校读者我要写书评

暂无评论

Petroleum 2019年第3期5卷 271-284页

作者： mohammad ali Ahmadi Zhangxing Chen Department of Chemical and Petroleum Engineering University of CalgaryCalgaryCanada

This paper deals with the comparison of models for predicting porosity and permeability of oil reservoirs by coupling a machine learning concept and petrophysical *** machine learning methods including conventional artificial neural network,genetic algorithm,fuzzy decision tree,the imperialist competitive algorithm(ICA),particle swarm optimization(PSO),and a hybrid of those ones are employed to have a comprehensive *** machine learning approach was constructed and tested via data samples recorded from northern Persian Gulf oil *** results gained from the machine learning models used in this paper are compared to the relevant real petrophysical data and the outputs achieved by other methods employed in our previous *** average relative absolute deviation between the approach estimations and the relevant actual data is found to be less than 1%for the hybridized *** results reported in this paper indicate that implication of hybridized machine learning methods in porosity and permeability estimations can lead to the construction of more reliable static reservoir models in simulation plans.

关键词： Machine learning Neural network Support vector machine Porosity Permeability Well logs Petro-physic

Sacrificial piles as a countermeasure against local scour around underwater pipelines

在线全文

学校读者我要写书评

暂无评论

Water Science and Engineering 2024年第2期17卷 187-196页

作者： Forough Raeisi Seyed mohammad ali Zomorodiann Masih Zolghadr Hazi mohammad Azamathulla Department of Water Engineering Shiraz UniversityShiraz ***Iran Department of Water Sciences Engineering Jahrom UniversityJahrom ***Iran Department of Civil and Environmental Engineering The University of the West IndiesSt.Augustine CampusTrinidad 331310Republic of Trinidad and Tobago

Local scour around pipelines crossing rivers or in marine environments is a significant *** can lead to failure of the pipelines resulting in environmental side effects and economic *** study developed an experimental method to reduce local scour around pipelines with a steady flow of clear water by installing cylindrical and cubical sacrificial *** sizes of sacrificial piles were examined in a linear *** piles were installed on the upstream side of the pipeline at three *** scour depth reduction rates below the pipeline were *** results showed that sacrificial piles could protect a pipeline from local scour.A portion of scoured sediment around the sacrificial piles was deposited beneath the *** sediment accumulation reduced the scour depth beneath the *** of the experimental results demonstrated that the size of piles(d),the spacing between piles,and the distance between the pipe and piles(Xp)were the variables that reduced the maximum scour beneath the pipeline with a diameter of *** the piles with d=0.40D and 0.64D,X_(p)=4OD was the optimal distance to install a group of piles,and cubical piles could mitigate scour more effectively than cylindrical piles under similar *** the piles with d=D,the greatest reduction in scour depth was achieved at X_(p)=50D with any desired spacings between piles,and cylindrical piles in this dimension could protect the pipeline against scour more effectively than cubical piles.

关键词： Clear water River crossing pipeline Local scour Self-burial process Sediment transport