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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205516950 ISBN 13: 9786205516959
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
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Paperback. Zustand: new. Paperback. Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and deep learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.Features:A diverse collection of important and cutting-edge topics covered in a single volumeSeveral chapters on cybersecurity, an extremely active research areaRecent research results from leading researchers and some pointers to future advancements in methodologyDetailed experimental results obtained from standard data setsThis book serves as a valuable reference book for students, researchers, and practitioners who wish to study and get acquainted with the application of cutting-edge AI, ML, and DL techniques to network management and cyber security. This reference text aims to systematically collect quality research spanning AI, ML and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032461381 ISBN 13: 9781032461380
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EUR 70,11
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In den WarenkorbPaperback. Zustand: New. Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and deep learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.Features:A diverse collection of important and cutting-edge topics covered in a single volumeSeveral chapters on cybersecurity, an extremely active research areaRecent research results from leading researchers and some pointers to future advancements in methodologyDetailed experimental results obtained from standard data setsThis book serves as a valuable reference book for students, researchers, and practitioners who wish to study and get acquainted with the application of cutting-edge AI, ML, and DL techniques to network management and cyber security.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pages cm First edition Includes bibliographical references and index.
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In den WarenkorbPaperback. Zustand: Brand New. 136 pages. 9.18x6.12x9.21 inches. In Stock.
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206686256 ISBN 13: 9786206686255
Anbieter: Books Puddle, New York, NY, USA
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205516950 ISBN 13: 9786205516959
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206164667 ISBN 13: 9786206164661
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In den WarenkorbPaperback. Zustand: Brand New. 136 pages. 9.18x6.12x9.21 inches. In Stock.
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620495458X ISBN 13: 9786204954585
Anbieter: Books Puddle, New York, NY, USA
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Nov 2022, 2022
ISBN 10: 6205516950 ISBN 13: 9786205516959
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Edge-Preserving Smoothing (EPS) is a very important operator in the image processing and computer vision domain. It suppresses the random noise while keeping the edges in the image intact. The Guided Image Filter (GIF) is a very popular tool used in image processing and computer vision that preserves the edges of the object in an image as well as smoothens the image intensity per pixel. A self-image or reference image is used as a guidance image to compute the desired guided output. It follows a non-approximate linear time algorithm, regardless of the window size and the intensity range. It has low computational complexity. The two important parameters of a guided image filter are the regularization parameter (¿) and the radius of the square window (r). A guided image filter is one of the fastest filters which can act as an edge-preserving smoothing operator. The main objective of this experimentation is to observe the operation of a guided image filter as an edge-preserving smoothening filter. In this paper, we will evaluate the qualitative and quantitative effects of guided image filters on the processed image due to the simultaneous change of the two parameters.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 6204979396 ISBN 13: 9786204979397
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Edge-Preserving Smoothing is a very important operator in the image processing and computer vision domain. It suppresses the random noise while keeping the edges in the image intact. Bilateral filtering is a tool which smooths images while preserving edges, by means of a nonlinear combination of image values. It replaces the intensity of each pixel with a weighted average of intensity values from nearby pixels. Bilateral filter parameters are the range parameter increases i.e. SSIM, PSNR, NIQE, the bilateral filter gradually approaches Gaussian convolution more closely because the range Gaussian widens and flattens, which means that it becomes nearly constant over the intensity interval of the image.As the spatial parameter increases, the larger features get smoothened.The main objective of this experimentation is to observe the operation of the bilateral image filter as an edge-preserving smoothening filter. In this paper, we will evaluate the bilateral filter operation on the processed image due to the simultaneous change of the parameters.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.
Sprache: Spanisch
Verlag: Ediciones Nuestro Conocimiento, 2022
ISBN 10: 6204929356 ISBN 13: 9786204929354
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206686256 ISBN 13: 9786206686255
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Engineering design optimization problems are frequently found highly non-linear with complex constraints design variables. These constraints can be expressed in terms of range, structure similarity, signal-to-noise relationship, etc in computer vision. Image processing problems can be reformulated as optimization problems, especially bio-inspired problems. By selecting and designing proper object function, restoration, segmentation, thresholding etc of images could be done with superior results. Meta-heuristics are fit for those cases for optimal solutions. Cuckoos are recognized as charming birds due to its beautiful sounds and also their aggressive reproduction strategy. Moreover, few species such as the ani and guira cuckoos lay their eggs in communal nests removing others¿ eggs increasing the hatching probability of their own eggs. It is found in nature that searching for food is a random or quasi-random system for animals. Surprisingly, research shows that the foraging path of an animal follows a random walk rigorously accompanying current location and transition probability to the next location. Thus, this random walk can be mathematical modeled efficiently.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.