Convolutional Fractional Stochastic Fields And Their Deep Learning
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Convolutional Fractional Stochastic Fields And Their Deep Learning
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Author : Abdourrahmane M. Atto
language : en
Publisher: ISTE Group
Release Date : 2023-02-01
Convolutional Fractional Stochastic Fields And Their Deep Learning written by Abdourrahmane M. Atto and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Mathematics categories.
In a stochastic environment where reality is described through samples or examples, artificial intelligence learns by penalizing weighted differential and/or integral viewpoints. The convolutional neural framework is relevant to encompass the mathematical operations performed by such an artificial intelligence. Conversely, mathematical compositions alternating convolutions and non linear operators are powerful tools for generating complex artificial realities. This book proposes a stochastic integral perspective of deep machine learning in artificial intelligence. The organization of the book is as follows. Chapter 1 introduces the basics of stochastic reasoning and the most useful properties of stochastic processes. Chapters 2 and 3 derive stochastic convoluted models for the construction, analysis and simulation of fractionally integrated fields. Chapter 4 highlights how some deep artificial neurons can disentangle the very long-range stochastic dependencies, when these neurons are parameterized to integrate spectral responses.
Poincar Lemma On Differential Forms And Connections With Ech De Rham Dolbeault Cohomologies
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Author : Ahmed Lesfari
language : en
Publisher: ISTE Group
Release Date : 2024-08-07
Poincar Lemma On Differential Forms And Connections With Ech De Rham Dolbeault Cohomologies written by Ahmed Lesfari and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Mathematics categories.
Poincaré Lemma on Differential Forms and Connections with Čech-De Rham-Dolbeault Cohomologies deals with the connections between Čech-De Rham-Dolbeault cohomologies and the Dolbeault- Grothendieck lemma. It begins by discussing one-parameter groups of diffeomorphisms or flow, Lie derivative and interior products, as well as Cartan’s formula and the Poincaré lemma on differential forms. Throughout the book, we study sheaves, Čech cohomology and De Rham cohomology, and present some of their most basic properties. We also explore the Mayer-Vietoris sequence by demonstrating its use when calculating the cohomology group of the sphere. We introduce the Künneth formula (and as an application) and compute the cohomology of the torus. The final sections of the book study the delta bar-Poincaré lemma – as well as the Dolbeault-Grothendieck lemma and its consequences – while also proving the delta bar-Poincaré lemma in one variable, the Grothendieck Poincaré lemma, and the Dolbeault’s theorem when establishing the isomorphism between Dolbeault and Čech cohomology. Some results related to the connections, curvature and first Chern class of line bundles are also given. The text is enriched by concrete examples, along with exercises and their solutions.
Artificial Intelligence And Machine Learning Techniques In Image Processing And Computer Vision
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Author : Karm Veer Arya
language : en
Publisher: CRC Press
Release Date : 2024-08-23
Artificial Intelligence And Machine Learning Techniques In Image Processing And Computer Vision written by Karm Veer Arya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Computers categories.
This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods. The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the climate changes in over time with remote sensing, and more.
Multi Chaos Fractal And Multi Fractional Artificial Intelligence Of Different Complex Systems
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Author : Yeliz Karaca
language : en
Publisher: Academic Press
Release Date : 2022-06-22
Multi Chaos Fractal And Multi Fractional Artificial Intelligence Of Different Complex Systems written by Yeliz Karaca and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Science categories.
Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems. - Constructs and presents a multifarious approach for critical decision-making processes embodying paradoxes and uncertainty. - Includes a combination of theory and applications with regard to multi-chaos, fractal and multi-fractional as well as AI of different complex systems and many-body systems. - Provides readers with a bridge between application of advanced computational mathematical methods and AI based on comprehensive analyses and broad theories.
Deep Learning In Computer Vision
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Author : Mahmoud Hassaballah
language : en
Publisher: CRC Press
Release Date : 2020-03-23
Deep Learning In Computer Vision written by Mahmoud Hassaballah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with Computers categories.
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.
Deep Learning For The Earth Sciences
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Author : Gustau Camps-Valls
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-18
Deep Learning For The Earth Sciences written by Gustau Camps-Valls and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-18 with Technology & Engineering categories.
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
L Intelligence Artificielle G N Rative
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Author : Benjamin Lorre
language : fr
Publisher: ISTE Group
Release Date : 2025-03-01
L Intelligence Artificielle G N Rative written by Benjamin Lorre and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
Cet ouvrage explore l’intelligence artificielle, et plus spécifiquement l’intelligence artificielle générative, à travers le prisme des sciences sociales de l’innovation. S’appuyant sur son expérience au sein d’une équipe de recherche d’une association accompagnant les jeunes vers l’insertion professionnelle, l’auteur s’intéresse à un sujet de recherche original et à la pointe de l’innovation en France : l’intelligence artificielle. Son analyse scientifique approfondie repose sur la compréhension des mécanismes de fonctionnement et des savoirs, enrichie par les avancées en informatique et en algorithmique. L’ouvrage examine les principes fondamentaux de l’IA et de l’IA générative, en mettant particulièrement l’accent sur la boîte noire algorithmique et les capacités associées telles que le raisonnement, la cognition et la perception. Enfin, il propose une réflexion approfondie sur l’évolution future de l’IA générative et ses implications éthiques.
Humboldt Et Arago Si Proches Si Diff Rents
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Author : Guy Jacques
language : fr
Publisher: ISTE Group
Release Date : 2023-02-01
Humboldt Et Arago Si Proches Si Diff Rents written by Guy Jacques and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Social Science categories.
Humboldt et Arago, si proches, si différents retrace l’épopée de deux grands savants, de deux hommes engagés politiquement, de deux amitiés profondes de plus de quarante ans. L’originalité de ce récit est de mettre en lumière leurs évidentes affinités et similitudes, mais aussi, ce qui est plus original, leurs différences marquées parfois par de vifs propos. Cet ouvrage montre que leur manière parfois différente d’analyser les situations tient à leurs origines. Arago est né dans une famille modeste alors qu’Humboldt est issu d’une famille aristocratique influente. Tous deux enfants du siècle de l’innovation, ils deviendront des savants éminents, des vulgarisateurs hors pair habités par l’idée des Lumières d’instruire le peuple, des passeurs d’idées, des républicains, mais assez proches du pouvoir pour tenter de l’influencer vers la démocratie et en faveur des sciences.
Savoirs En Circulation
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Author : Aude Seurrat
language : fr
Publisher: ISTE Group
Release Date : 2025-05-08
Savoirs En Circulation written by Aude Seurrat and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Social Science categories.
Les objets de savoir sont d’une grande diversité, tant par leur nature que par leurs formats. La numérisation croissante de nos sociétés a largement contribué à enrichir cette diversité tout en intensifiant leur circulation sociale. Loin de représenter une simple « dématérialisation » des savoirs, cette numérisation mérite d’être examinée dans ses dimensions matérielles. Centré sur des exemples de ressources d’éducation et de formation, Savoirs en circulation montre l’intérêt de l’articulation des approches théoriques et méthodologiques pour analyser « la vie sociale » des ressources d’éducation et de formation. L’ouvrage propose une exploration d’une pluralité d’études de cas, tant en termes de formats (kits pédagogiques, serious games, bases de données de bonnes pratiques, manuels, banques de cas pédagogiques, etc.) que d’éducation et de formation (enseignement primaire, secondaire, supérieur, formation professionnelle).
Technologies De D Tection Supraconductrices Pour La Cosmologie Exp Rimentale
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Author : Adnan Ghribi
language : fr
Publisher: ISTE Group
Release Date : 2023-11-29
Technologies De D Tection Supraconductrices Pour La Cosmologie Exp Rimentale written by Adnan Ghribi and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Science categories.
Les technologies de détection pour la mesure de la polarisation du fond diffus cosmologique sont au coeur de l’un des principaux défis de la cosmologie moderne. Parmi elles figurent les nano et microtechnologies planaires supraconductrices. C’est sur ces dernières que se concentre Technologies de détection supraconductrices pour la cosmologie expérimentale. Après avoir introduit les principes généraux de fonctionnement, cet ouvrage s’intéresse au contexte particulier de la nanofabrication des grands plans focaux multichroïques et des dispositifs expérimentaux associés. Il décrit ensuite les principaux programmes de recherche qui ont permis ces développements en France, pendant la dernière décennie. Enfin, en annexe, le lecteur trouvera les précieuses « recettes » de fabrication du plan focal du célèbre télescope PolarBear, qui pourront le guider et lui transmettre les bonnes pratiques dans les processus de structuration des couches minces pour les détecteurs bolométriques supraconducteurs.