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| 1 | Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems显示文摘We present a method for solving partial differential equations using artificial neural networks and an adaptive collocation strategy.In this procedure,a coarse grid of training points is used at the initial training stages,while more points are added at later stages based on the value of the residual at a larger set of evaluation points.This method increases the robustness of the neural network approximation and can result in significant computational savings,particularly when the solution is non-smooth.Numerical results are presented for benchmark problems for scalar-valued PDEs,namely Poisson and Helmholtz equations,as well as for an inverse acoustics problem. | Cosmin Anitescu Elena Atroshchenko Naif Alajlan Timon Rabczuk | 2019 | Computers, Materials & Continua2019，，4： | 72 |
| 2 | Computational Machine Learning Representation for the Flexoelectricity Effect in Truncated Pyramid Structures显示文摘In this study,machine learning representation is introduced to evaluate the flexoelectricity effect in truncated pyramid nanostructure under compression.A Non-Uniform Rational B-spline(NURBS)based IGA formulation is employed to model the flexoelectricity.We investigate 2D system with an isotropic linear elastic material under plane strain conditions discretized by 45×30 grid of B-spline elements.Six input parameters are selected to construct a deep neural network(DNN)model.They are the Young's modulus,two dielectric permittivity constants,the longitudinal and transversal flexoelectric coefficients and the order of the shape function.The outputs of interest are the strain in the stress direction and the electric potential due flexoelectricity.The dataset are generated from the forward analysis of the flexoelectric model.80%of the dataset is used for training purpose while the remaining is used for validation by checking the mean squared error.In addition to the input and output layers,the developed DNN model is composed of four hidden layers.The results showed high predictions capabilities of the proposed method with much lower computational time in comparison to the numerical model. | Khader M.Hamdia Hamid Ghasemi Xiaoying Zhuang Naif Alajlan Timon Rabczuk | 2019 | Computers, Materials & Continua2019，，4： | 5 |
| 3 | Detail preserving impulsive noise removal 显示文摘 | Alajlan N Kamel M Jernigan E | 2004 | Signal Processing: Image Communication2004，19，10： | 1 |
| 4 | Coupling of PV-powered RO brackish water desalination plant with solar stills显示文摘 | HASNAIN S M ALAJLAN S A | 1998 | Desalination1998，116，： | 1 |
| 5 | Transfer of vitiligo after allogeneic bone marrow transplantation显示文摘 | Alajlan A Alfadley A Pedersen KT | 2002 | J Am Acad Dermatol2002，46，4： | 1 |
| 6 | Detail preserving impulsive noise removal 显示文摘 | ALAJLAN N KAMEL M JERNIGAN E | 2004 | Signal Processing: Image Communication2004，19，10： | 1 |
| 7 | Shape retrieval using triangle-area representation and dynamic space warping显示文摘 | Naif Alajlan Ibrahim El Rube Mohamed S. Kamel George Freeman | 2007 | Pattern Recognition2007，，7： | 1 |
| 8 | Shape retrieval using triangle-area representation and dynamic space warping 显示文摘 | Alajlan N Rube I E Kamel M S | 2007 | Pattern Recognition2007，40，7： | 1 |
| 9 | Geometry-based image retrieval in binary image databases显示文摘 | ALAJLAN N KAMEL M FREEMAN G | 2008 | IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，6： | 1 |
| 10 | Shape retrieval using triangle-area representation and dynamic space warping 显示文摘 | Alajlan N Elrube I Kamel M S | 2007 | Pattern Recognition2007，40，7： | 1 |
| 11 | Dempster-shafer belief structures for decision making under uncertainty显示文摘 | Yager R R Alajlan N | 2015 | Knowledge-based Systems2015，80，1： | 1 |
| 12 | Fusion of extreme learning machine and graph-based optimization methods for active classification of remote sensing images显示文摘 | Bencherif M A Bazi Y Guessoum A Alajlan N Melgani F Alhichri H | 2015 | Geoscience and Remote Sensing Letters2015，12，3： | 1 |
| 13 | Geometry-based image retrieval in binary image databases显示文摘 | Alajlan N Kamel M Freeman G | 2008 | IEEE Trans on Pattern Anal and Mach Intell2008，30，6： | 1 |
| 14 | Shape retrieval using triangle-area representation and dynamic space warping显示文摘 | N ALajlan I E Rube M S Kamel G Feeman | 2007 | Pattern Recognition2007，40，7： | 1 |
| 15 | Detail preserving impulsive noise removal 显示文摘 | ALAJLAN N KAMEL M JERNIGAN E | 2004 | Signal Processing: Image Communication2004，19，10： | 1 |
| 16 | Multi-object image retrieval base on shape and topology显示文摘 | Alajlan N Kamel M S Freeman G | | 0，，： | 1 |
| 17 | Detail preserving impulsive noise removal 显示文摘 | Naif Alajlan Mohamed Karnel | 2004 | Signal Processing: Image Communication (S0923-5965)2004，19，10： | 1 |
| 18 | Treatment of linear IgA bullous dermatosis of childhood with flucloxacillin显示文摘 | Alajlan A Al-Khawajah M Al-Sheikh O | 2006 | J Am Acad Dermatol2006，54，4： | 1 |
| 19 | Shape retrieval using triangle-area representation and dynamic space warping显示文摘 | Alajlan N Rube I E Kamel M S | | 0，，7： | 1 |
| 20 | GeometryBased Image Retrieval in Binary Image Databases显示文摘 | ALAJLAN N KAMEL M S FREEMAN G H | 2008 | IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，6： | 1 |
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