Radiation of a coaxial line into a half-space von Asvestas, J.S.

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Electromagnetic scattering by indented screens von Asvestas, J.S., Kleinman, R.E.

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The physical optics fields of an aperture on a perfectly conducting screen in terms of line integrals von Asvestas, J.

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The physical-optics integral and computer graphics von Asvestas, J.S.

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Scattering by an indentation satisfying a dyadic impedance boundary condition von Asvestas, J.S.

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Line-Integral Approach to Computing Impedance Matrix Elements von Asvestas, J.S., Bilow, H.J.

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Physical optics and the direction of maximization of the far-field average power von Asvestas, J.

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Low‐Frequency Scattering by Perfectly Conducting Obstacles von Asvestas, J. S., Kleinman, R. E.

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A Class of Functions with Removable Singularities and Their Application to the Physical Theory Of Diffraction von Asvestas, John S.

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Electromagnetic Scattering for Dielectrics: Iterative Methods for Solving Boundary Integral Equations von Bielefeld, B., Deng, Y., Glimm, J., Tangerman, F., Asvestas, J. S.

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Comments on "Singularity in Green's function and its numerical evaluation von Asvestas, J.

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Iterative solutions of Maxwell's equations / by John Stelios Asvestas von Asvestas, J. S

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The physical optics method in electromagnetic scattering von Asvestas, John S.

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Low Frequency Scattering by Spheroids and Disks 1. Dirichlet Problem for a Prolate Spheroid von ASVESTAS, J. S., KLEINMAN, R. E.

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Low Frequency Scattering by Spheroids and Disks: 3. Oblate Spheroids and Disks von ASVESTAS, J. S., KLEINMAN, R. E.

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Low Frequency Scattering by Spheroids and Disks 2. Neumann Problem for a Prolate Spheroid von ASVESTAS, J. S., KLEINMAN, R. E.

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Low Frequency Scattering by Spheroids and Disks von ASVESTAS, J. S., KLEINMAN, R. E.

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LOW FREQUENCY SCATTERING BY SPHEROIDS AND DISCS von Asvestas, J S, Kleinman, R E

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Investigating the Sequence Determinants of the Curling of Amyloid Fibrils Using Ovalbumin as a Case Study von Housmans, Joëlle A.J., Houben, Bert, Monge-Morera, Margarita, Asvestas, Diego, Nguyen, Hung Huy, Tsaka, Grigoria, Louros, Nikolaos, Carpentier, Sebastien, Delcour, Jan A., Rousseau, Frederic, Schymkowitz, Joost

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Interpretable machine learning model using Extreme Gradient Boosting with Nonnegative Matrix Factorization improves the accuracy of arrhythmic risk prediction in Brugada Syndrome von Tse, G, Zhou, J, Li, S, Lee, S, Li, K H C, Leung, K S K, Wong, W T, Mililis, P, Asvestas, D, Bazoukis, G, Letsas, K P, Liu, T, Zhang, Q

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