检索结果-南通市图书馆

Numerical inversion method for the Laplace transform based on Boubaker polynomials operational matrix

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 Modeling, Simulation, and Scientific Computing 2022年第1期13卷 251-264页

作者： Rachid Belgacem ahmed Bokhari salih Djilali Sunil Kumar Faculty of exact and Computer Sciences Mathematic Department Hassiba Benbouali UniversityChlefAlgeria Laboratory of Mathematics and its Applications(LMA)Faculty of exact and Computer Sciences Hassiba Benbouali University ChlefAlgeria Laboratoire d’Analyse Non Lineaire et Mathematiques Appliquees Universite de Tlemcen TlemcenAlgeria Department of Mathematics National Institute of Technology Jamshedpur 831014JharkhandIndia

We investigate through this research the numerical inversion technique for the Laplace transforms cooperated by the integration Boubaker polynomials operational *** efficiency of the presented approach is demonstrated by solving some differential ***,this technique is combined with the standard Laplace Homotopy Per-turbation *** numerical results highlight that there is a very good agreement between the estimated solutions with exact solutions.

关键词： Laplace transform Boubaker polynomials operational matrix homotopy per-turbation method numerical method

An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass

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 Rock Mechanics and Geotechnical engineering 2021年第6期13卷 1290-1299页

作者： Maryam Parsajoo ahmed salih Mohammed Saffet Yagiz Danial Jahed Armaghani Manoj Khandelwal Department of Mining engineering Imam Khomeini International UniversityQazvin34149-16818Iran Civil engineering Department College of EngineeringUniversity of SulaimaniKurdistan Region46001Iraq School of Mining and Geosciences Nazarbayev UniversityNur-Sultan010000Kazakhstan Department of Urban Planning Engineering Networks and SystemsInstitute of Architecture and ConstructionSouth Ural State UniversityChelyabinsk454080Russia School of engineering Information Technology and Physical SciencesFederation University AustraliaBallarat3350Australia

Field penetration index(FPI) is one of the representative key parameters to examine the tunnel boring machine(TBM) *** of accurate FPI prediction can be responsible for numerous disastrous incidents associated with rock mechanics and *** study aims to predict TBM performance(***) by an efficient and improved adaptive neuro-fuzzy inference system(ANFIS) *** was done using an evolutionary algorithm,*** bee colony(ABC) algorithm mixed with the ANFIS *** role of ABC algorithm in this system is to find the optimum membership functions(MFs) of ANFIS model to achieve a higher degree of *** procedure and modeling were conducted on a tunnelling database comprising of more than 150 data samples where brittleness index(BI),fracture spacing,α angle between the plane of weakness and the TBM driven direction,and field single cutter load were assigned as model inputs to approximate FPI *** to the results obtained by performance indices,the proposed ANFISABC model was able to receive the highest accuracy level in predicting FPI values compared with ANFIS *** terms of coefficient of determination(R^(2)),the values of 0.951 and 0.901 were obtained for training and testing stages of the proposed ANFISABC model,respectively,which confirm its power and capability in solving TBM performance *** proposed model can be used in the other areas of rock mechanics and underground space technologies with similar conditions.

关键词： Tunnel boring machine(TBM) Field penetration index(FPI) Neuro-fuzzy technique evolutionary computation Artificial bee colony(ABC)

Post-hepatectomy liver failure:A timeline centered review

在线全文

学校读者我要写书评

暂无评论

Hepatobiliary & Pancreatic Diseases International 2023年第6期22卷 554-569页

作者： Mohamed Bekheit Lisa Grundy ahmed KA salih Petru Bucur eric Vibert Mudassar Ghazanfar Department of Surgery NHS GrampianForesterhill Health CampusAshgrove RoadAB252ZN AberdeenUK Institute of Medical Sciences Medical SchoolForesterhill Health CampusAshgrove RoadAB252ZN AberdeenUK Hépatica Integrated Center of HPB CareElite HospitalAgriculture RoadAlexandriaEgypt Department of Surgery University Hospital ToursVal de la Loire 37000France Centre Hépatobiliaire Paul Brousse Hospital12 Paul Valliant Couturier94804 VillejuifFrance

Background: Post-hepatectomy liver failure(PHLF) is a leading cause of postoperative mortality after liver surgery. Due to its significant impact, it is imperative to understand the risk stratification and preventative strategies for PHLF. The main objective of this review is to highlight the role of these strategies in a timeline centered way around curative resection. Data sources: This review includes studies on both humans and animals, where they addressed PHLF. A literature search was conducted across the Cochrane Library, embase, MeDLINe/Pub Med, and Web of Knowledge electronic databases for english language studies published between July 1997 and June 2020. Studies presented in other languages were equally considered. The quality of included publications was assessed using Downs and Black’s checklist. The results were presented in qualitative summaries owing to the lack of studies qualifying for quantitative analysis. Results: This systematic review with 245 studies, provides insight into the current prediction, prevention, diagnosis, and management options for PHLF. This review highlighted that liver volume manipulation is the most frequently studied preventive measure against PHLF in clinical practice, with modest improvement in the treatment strategies over the past decade. Conclusions: Remnant liver volume manipulation is the most consistent preventive measure against PHLF.

关键词： Post-hepatectomy liver failure Liver neoplasms Prediction Prevention Management

A Novel Cryptocurrency Prediction Method Using Optimum CNN

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第4期71卷 1051-1063页

作者： Syed H.Hasan Syeda Huyam Hasan Mohammed salih ahmed Syed Hamid Hasan Iowa State University AmesUSA University of Texas at Arlington USA Department of Computer engineering College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia

In recent years,cryptocurrency has become gradually more significant in economic regions *** cryptocurrencies,records are stored using a cryptographic *** main aim of this research was to develop an optimal solution for predicting the price of cryptocurrencies based on user opinions from social *** is used as a marketing tool for cryptoanalysis owing to the unrestricted conversations on cryptocurrencies that take place on social media ***,this work focuses on extracting Tweets and gathering data from different sources to classify them into positive,negative,and neutral categories,and further examining the correlations between cryptocurrency movements and Tweet *** paper proposes an optimized method using a deep learning algorithm and convolution neural network for cryptocurrency prediction;this method is used to predict the prices of four cryptocurrencies,namely,Litecoin,Monero,Bitcoin,and *** results of analyses demonstrate that the proposed method forecasts prices with a high accuracy of about 98.75%.The method is validated by comparison with existing methods using visualization tools.

关键词： Cryptocurrency litecoin monero bitcoin ethereum twitter optimal CNN price prediction sentiment analysis

Modeling natural convection boundary layer flow of micropolar nanofluid over vertical permeable cone with variable wall temperature

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Applied Mathematics and Mechanics(english edition) 2017年第8期38卷 1171-1180页

作者： S.e.ahmed Department of Mathematics Faculty of ScienceSouth Valley UniversityQena 83523Egypt

This paper discusses the natural convection boundary layer flow of a micropo- lax nanofluid over a vertical permeable cone with variable wall temperatures. Non-similax solutions are obtained. The nonlineaxly coupled differential equations under the boundary layer approximations governing the flow axe solved numerically using an efficient, itera- tive, tri-diagonal, implicit finite difference method. Different experimental correlations for both nanofluid effective viscosity and nanofluid thermal conductivity are considered. It is found that as the vortex-viscosity parameter increases, both the velocity profiles and the local Nusselt number decrease. Also, among all the nanoparticles considered in this investigation, Cu gives a good convection.

关键词： micropolar nanofluid non-similar solution cone finite difference method,non-uniform heating

Comparative efficacy of proximal femoral nail vs dynamic condylar screw in treating unstable intertrochanteric fractures

在线全文

学校读者我要写书评

暂无评论

World Journal of Orthopedics 2024年第8期15卷 796-806页

作者： ahmed Mohamed Yousif Mohamed Monzir salih Mohanad Abdulgadir Ayman e Abbas Duha Lutfi Turjuman Department of Orthopaedic Surgery Burjeel Medical CityAbu Dhabi 92510United Arab Emirates Department of General Surgery Burjeel Medical CityAbu Dhabi 92510United Arab Emirates Medical Intern Burjeel Medical CityAbu Dhabi 92510United Arab Emirates

BACKGROUND Among the most frequent hip fractures are trochanteric fractures,which usually occur from low-energy trauma like minor falls,especially in older people with osteoporotic *** To evaluate the treatment efficacy of dynamic condylar screws(DCS)and proximal femoral nails(PFN)for unstable intertrochanteric *** To find pertinent randomized controlled trials and retrospective observational studies comparing PFN with DCS for the management of unstable femoral intertrochanteric fractures,a thorough search was carried *** research studies published between January 1996 and April 2024,PubMed,eMBASe,Scopus,Web of Science,Cochrane Library,and Google Scholar were all *** complete texts of the papers were retrieved,vetted,and independently examined by two *** were settled by consensus,and any disagreements that persisted were arbitrated by a third *** This study included six articles,comprising a total of 173 *** to the DCS,the PFN had a shorter operation time[mean difference(MD):-41.7 min,95%confidence interval(95%CI):-63.04 to-20.35,P=0.0001],higher success rates with closed reduction techniques[risk ratio(RR):34.05,95%CI:11.12-104.31,Pequired less intraoperative blood transfusion(MD:-1.4 units,95%CI:-1.80 to-1.00,Pe PFN showed shorter fracture union time(MD:-6.92 wk,95%CI:-10.27 to-3.57,Per incidence of reoperation(RR:0.37,95%CI:0.17-0.82,P=0.01).However,there was no discernible variation regarding hospital stay,implant-related complications,and *** Compared to DCS,PFN offers shorter operative times,reduces the blood transfusions requirements,achieves higher closed reduction success,enables faster fracture healing,and lowers reoperation incidence.

关键词： Intertrochanteric fracture Unstable Dynamic condylar screw Proximal femoral nail Meta-analysis Comparative study

Laminar MHD natural convection of nanofluid containing gyrotactic microorganisms over vertical wavy surface saturated non-Darcian porous media

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Applied Mathematics and Mechanics(english edition) 2016年第4期37卷 471-484页

作者： S.e.ahmed A.MAHDY Department of Mathematics Faculty of Sciences South Valley University

Magnetohydrodynamic （MHD） bioconvection of an incompressible electrically conducting nanofluid near a vertical wavy surface saturated porous medium containing both nanoparticle and gyrotactic microorganisms is investigated. The nanofluid is represented by a model that includes both Brownian motion and thermophoresis effects. A suitable set of non-dimensional variables are used to transform the governing boundary layer equations into a dimensionless form. The resulting nonlinear system is mapped to the vertical flat plate domain, and a non-similar solution is used to the obtained equations. The obtained non-similar system is then solved numerically using the fourth-order Runge-Kutta method. The influence of various physical parameters on the local Nusselt number, the local Sherwood number, the local density number of the motile microorganisms, the dimensionless velocity, the dimensionless temperature, and the rescaled density of motile microorganisms is studied. It is found that the local Nusselt number, the local Sherwood number, and the local density number of the motile microorganisms decrease by increasing either the Grashof number or the magnetic field parameter.

关键词： wavy surface nanofluid non-Darcy bioconvection boundary layer gyrotactic microorganism porous media

Automatic Channel Detection Using DNN on 2D Seismic Data

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & engineering 2021年第1期36卷 57-67页

作者： Fahd A.Alhaidari Saleh A.Al-Dossary Ilyas A.salih Abdlrhman M.Salem ahmed S.Bokir Mahmoud O.Fares Mohammed I.ahmed Mohammed S.ahmed Imam Abdulrahman Bin Faisal University College of Computer Science and Information TechnologyDammam34212Saudi Arabia Saudi Aramco Oil Company EXPEC-IIDhahranSaudi Arabia

Geologists interpret seismic data to understand subsurface properties and subsequently to locate underground hydrocarbon *** are among the most important geological features interpreters analyze to locate petroleum ***,manual channel picking is both time consuming and ***,similar to any other process dependent on human intervention,manual channel picking is error prone and *** address these issues,automatic channel detection is both necessary and important for efficient and accurate seismic *** systems make use of real-time image processing techniques for different *** channel detection is a combination of different mathematical methods in digital image processing that can identify streaks within the images called channels that are important to the oil *** this paper,we propose an innovative automatic channel detection algorithm based on machine learning *** new algorithm can identify channels in seismic data/images fully automatically and tremendously increases the efficiency and accuracy of the interpretation *** algorithm uses deep neural network to train the classifier with both the channel and non-channel *** provide a field data example to demonstrate the performance of the new *** training phase gave a maximum accuracy of 84.6%for the classifier and it performed even better in the testing phase,giving a maximum accuracy of 90%.

关键词： Deep neural networks deep learning channel detection image processing two-dimensional seismic data

Finite element modeling assumptions impact on seismic response demands of MRF-buildings

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

earthquake engineering and engineering Vibration 2018年第4期17卷 821-834页

作者： Shehata e Abdel Raheem ahmed K Abdel Zaher ahmed MA Taha Civil engineering Department Engineering College Taibah University Civil engineering Department Faculty of Engineering Assiut University

Recent seismic events have raised concerns over the safety and vulnerability of reinforced concrete moment resisting frame ＂RC-MRF＂ buildings. The seismic response of such buildings is greatly dependent on the computational tools used and the inherent assumptions in the modelling process. Thus, it is essential to investigate the sensitivity of the response demands to the corresponding modelling assumption. Many parameters and assumptions are justified to generate effective structural finite element（Fe） models of buildings to simulate lateral behaviour and evaluate seismic design demands. As such, the present study focuses on the development of reliable Fe models with various levels of refinement. The effects of the Fe modelling assumptions on the seismic response demands on the design of buildings are investigated. the predictive ability of a Fe model is tied to the accuracy of numerical analysis; a numerical analysis is performed for a series of symmetric buildings in active seismic zones. The results of the seismic response demands are presented in a comparative format to confirm drift and strength limits requirements. A proposed model is formulated based on a simplified modeling approach, where the most refined model is used to calibrate the simplified model.

关键词： RC-MRF buildings design codes provisions seismic design finite element modeling modeling assumptions response demands