Rylko natalia (32 risultati)

hardcover. Condizione: Good. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping. -3a-.

Condizione: New.

Condizione: New.

Condizione: New.

hardcover. Condizione: Fine.

Paperback. Condizione: Brand New. 272 pages. 6.14x0.60x9.21 inches. In Stock.

hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: New. Vladimir Mityushev is a professor at the Cracow University of Technology and a leader of the research group at www.materialica.plus. His expertise lies in the fields of mathematical modeling, computer simulations, porous media, permeability, diffu.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Brand New. 2nd edition. 356 pages. 9.19x6.13x9.21 inches. In Stock.

Condizione: New.

Condizione: New. In English.

Hardback. Condizione: New. Anisotropy of Metamaterials: Beyond Conventional Paradigms provides a comprehensive introduction to the mathematical modeling of metamaterials based on the macroscopic complex-valued permittivity tensor of dispersed random composites. Key topics include physical and mathematical theory, computer simulations, constructive homogenization, classification of dispersed random composites and their applications in cancer recognition. Image processing and machine learning algorithms are used. The book also discusses the precision of various effective medium approximations, including Bruggeman and Maxwell-Garnett formulas. New analytical, approximate and exact formulas and bounds for the macroscopic permittivity and piezoelectric constants of composites are derived. This book is a valuable tool for academics and professionals in photonics, presenting sustainable materials for sensing, health diagnostics and cancer detection methodologies.Key features:Offers key insights into the current trends and techniques in the study of the macroscopic properties of metamaterials, aiming at stimulating new avenues of researchPresents examples of image analysis, the primary tool for non-destructive metamaterials analysisDiscusses the applications of Machine Learning to image processing, illustrated using specific code in Python programming language.…

Hardcover. Condizione: Brand New. 304 pages. 9.18x6.12x9.21 inches. In Stock.

Condizione: New. In English.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Kartoniert / Broschiert. Condizione: New. Outlines major modelling techniques of 2D nanocomposites for photonic applications Explores how the properties of 2D nanocomposites make them suitable for use for building 3D structures Assesses the challenges of using 2D nanocomp.

Hardback. Condizione: New. Anisotropy of Metamaterials: Beyond Conventional Paradigms provides a comprehensive introduction to the mathematical modeling of metamaterials based on the macroscopic complex-valued permittivity tensor of dispersed random composites. Key topics include physical and mathematical theory, computer simulations, constructive homogenization, classification of dispersed random composites and their applications in cancer recognition. Image processing and machine learning algorithms are used. The book also discusses the precision of various effective medium approximations, including Bruggeman and Maxwell-Garnett formulas. New analytical, approximate and exact formulas and bounds for the macroscopic permittivity and piezoelectric constants of composites are derived. This book is a valuable tool for academics and professionals in photonics, presenting sustainable materials for sensing, health diagnostics and cancer detection methodologies.Key features:Offers key insights into the current trends and techniques in the study of the macroscopic properties of metamaterials, aiming at stimulating new avenues of researchPresents examples of image analysis, the primary tool for non-destructive metamaterials analysisDiscusses the applications of Machine Learning to image processing, illustrated using specific code in Python programming language.…