State Of The Art In Neural Networks And Their Applications

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State of the Art in Neural Networks and Their Applications

Ayman S. El-Baz,Jasjit Suri
State of the Art in Neural Networks and Their Applications Book PDF

Author : Ayman S. El-Baz,Jasjit Suri
Publisher : Academic Press
Page : 326 pages
File Size : 42,8 Mb
Release : 2021-07-21
Category : Science
ISBN : 9780128218495

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State of the Art in Neural Networks and Their Applications by Ayman S. El-Baz,Jasjit Suri Pdf

State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1 covers the state-of-the-art deep learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), with coverage of computer-aided classification, Unified Deep Learning Frameworks, mammography, fundus imaging, optical coherence tomography, cryo-electron tomography, 3D MRI, CT, and more Covers deep learning for several medical conditions including renal, retinal, breast, skin, and dental abnormalities, Medical Image Analysis, as well as detection, segmentation, and classification via AI

State of the Art in Neural Networks and Their Applications

Jasjit Suri,Ayman S. El-Baz
State of the Art in Neural Networks and Their Applications Book PDF

Author : Jasjit Suri,Ayman S. El-Baz
Publisher : Elsevier
Page : 328 pages
File Size : 46,6 Mb
Release : 2022-11-29
Category : Science
ISBN : 9780128199121

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State of the Art in Neural Networks and Their Applications by Jasjit Suri,Ayman S. El-Baz Pdf

State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), including coverage of computer-aided classification, unified deep learning frameworks, 3D MRI, PET/CT, and more Covers deep learning cancer identification from histopathological images, medical image analysis, detection, segmentation and classification via AI

Business Applications of Neural Networks

Bill Edisbury
Business Applications of Neural Networks Book PDF

Author : Bill Edisbury
Publisher : World Scientific
Page : 222 pages
File Size : 45,5 Mb
Release : 2000
Category : Business & Economics
ISBN : 9789812813312

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Business Applications of Neural Networks by Bill Edisbury Pdf

Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests - from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise. This is a review of the state-of-the-art in applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.

Cellular Neural Networks and Their Applications

Anonim
Cellular Neural Networks and Their Applications Book PDF

Author : Anonim
Publisher : World Scientific
Page : 704 pages
File Size : 51,7 Mb
Release : 2002
Category : Computer engineering
ISBN : 9812776796

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Cellular Neural Networks and Their Applications by Anonim Pdf

This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000).

Python Deep Learning

Ivan Vasilev,Daniel Slater,Gianmario Spacagna,Peter Roelants,Valentino Zocca
Python Deep Learning Book PDF

Author : Ivan Vasilev,Daniel Slater,Gianmario Spacagna,Peter Roelants,Valentino Zocca
Publisher : Packt Publishing Ltd
Page : 379 pages
File Size : 51,5 Mb
Release : 2019-01-16
Category : Computers
ISBN : 9781789349702

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Python Deep Learning by Ivan Vasilev,Daniel Slater,Gianmario Spacagna,Peter Roelants,Valentino Zocca Pdf

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.

Understanding Neural Networks and Fuzzy Logic

Stamatios V. Kartalopoulos
Understanding Neural Networks and Fuzzy Logic Book PDF

Author : Stamatios V. Kartalopoulos
Publisher : Wiley-IEEE Press
Page : 240 pages
File Size : 43,7 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037336958

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Understanding Neural Networks and Fuzzy Logic by Stamatios V. Kartalopoulos Pdf

Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background. Sponsored by: IEEE Neural Networks Council

Complex Networks and Their Applications VIII

Hocine Cherifi,Sabrina Gaito,José Fernendo Mendes,Esteban Moro,Luis Mateus Rocha
Complex Networks and Their Applications VIII Book PDF

Author : Hocine Cherifi,Sabrina Gaito,José Fernendo Mendes,Esteban Moro,Luis Mateus Rocha
Publisher : Springer Nature
Page : 1047 pages
File Size : 48,5 Mb
Release : 2019-11-26
Category : Technology & Engineering
ISBN : 9783030366834

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Complex Networks and Their Applications VIII by Hocine Cherifi,Sabrina Gaito,José Fernendo Mendes,Esteban Moro,Luis Mateus Rocha Pdf

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Complex Networks and Their Applications VII

Luca Maria Aiello,Chantal Cherifi,Hocine Cherifi,Renaud Lambiotte,Pietro Lió,Luis M. Rocha
Complex Networks and Their Applications VII Book PDF

Author : Luca Maria Aiello,Chantal Cherifi,Hocine Cherifi,Renaud Lambiotte,Pietro Lió,Luis M. Rocha
Publisher : Springer
Page : 677 pages
File Size : 40,7 Mb
Release : 2018-12-05
Category : Technology & Engineering
ISBN : 9783030054144

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Complex Networks and Their Applications VII by Luca Maria Aiello,Chantal Cherifi,Hocine Cherifi,Renaud Lambiotte,Pietro Lió,Luis M. Rocha Pdf

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2018), which was held in Cambridge on December 11–13, 2018. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure and network dynamics; diffusion, epidemics and spreading processes; and resilience and control; as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Complex Networks & Their Applications XII

Hocine Cherifi,Luis M. Rocha,Chantal Cherifi,Murat Donduran
Complex Networks Their Applications XII Book PDF

Author : Hocine Cherifi,Luis M. Rocha,Chantal Cherifi,Murat Donduran
Publisher : Springer Nature
Page : 483 pages
File Size : 49,8 Mb
Release : 2024
Category : Computational intelligence
ISBN : 9783031534683

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Complex Networks & Their Applications XII by Hocine Cherifi,Luis M. Rocha,Chantal Cherifi,Murat Donduran Pdf

Zusammenfassung: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as network embedding and network geometry; community structure, network dynamics; diffusion, epidemics and spreading processes; machine learning and graph neural networks as well as all the main network applications, including social and political networks; networks in finance and economics; biological networks and technological networks

Convolutional Neural Networks for Medical Applications

Teik Toe Teoh
Convolutional Neural Networks for Medical Applications Book PDF

Author : Teik Toe Teoh
Publisher : Springer Nature
Page : 103 pages
File Size : 51,8 Mb
Release : 2023-03-23
Category : Computers
ISBN : 9789811988141

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Convolutional Neural Networks for Medical Applications by Teik Toe Teoh Pdf

Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.

Complex Networks & Their Applications X

Rosa Maria Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis M. Rocha,Marta Sales-Pardo
Complex Networks Their Applications X Book PDF

Author : Rosa Maria Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis M. Rocha,Marta Sales-Pardo
Publisher : Springer Nature
Page : 896 pages
File Size : 40,6 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030934095

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Complex Networks & Their Applications X by Rosa Maria Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis M. Rocha,Marta Sales-Pardo Pdf

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

Lazaros Iliadis,Plamen Parvanov Angelov,Chrisina Jayne,Elias Pimenidis
Proceedings of the 21st EANN Engineering Applications of Neural Networks 2020 Conference Book PDF

Author : Lazaros Iliadis,Plamen Parvanov Angelov,Chrisina Jayne,Elias Pimenidis
Publisher : Springer Nature
Page : 630 pages
File Size : 52,7 Mb
Release : 2020-05-27
Category : Computers
ISBN : 9783030487911

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Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference by Lazaros Iliadis,Plamen Parvanov Angelov,Chrisina Jayne,Elias Pimenidis Pdf

This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

Neural Nets: Applications in Geography

Bruce C. Hewitson,Robert G. Crane
Neural Nets Applications in Geography Book PDF

Author : Bruce C. Hewitson,Robert G. Crane
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 49,5 Mb
Release : 1994
Category : Computers
ISBN : 0792327462

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Neural Nets: Applications in Geography by Bruce C. Hewitson,Robert G. Crane Pdf

Neural nets offer a new strategy for spatial analysis, and their application holds enormous potential for the geographic sciences. However, the number of studies that have utilized these techniques is limited. This lack of interest can be attributed, in part, to lack of exposure, to the use of extensive and often confusing jargon, and to the misapprehension that, without an underlying statistical model, the explanatory power of the neural net is very low. This text attacks all three issues, demonstrating a wide variety of neural net applications in geography in a simple manner, with minimal jargon.

Deep Learning

Siddhartha Bhattacharyya,Vaclav Snasel,Aboul Ella Hassanien,Satadal Saha,B. K. Tripathy
Deep Learning Book PDF

Author : Siddhartha Bhattacharyya,Vaclav Snasel,Aboul Ella Hassanien,Satadal Saha,B. K. Tripathy
Publisher : Walter de Gruyter GmbH & Co KG
Page : 161 pages
File Size : 52,7 Mb
Release : 2020-06-22
Category : Computers
ISBN : 9783110670905

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Deep Learning by Siddhartha Bhattacharyya,Vaclav Snasel,Aboul Ella Hassanien,Satadal Saha,B. K. Tripathy Pdf

This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition.

Computer Information Systems and Industrial Management

Khalid Saeed,Władysław Homenda
Computer Information Systems and Industrial Management Book PDF

Author : Khalid Saeed,Władysław Homenda
Publisher : Springer
Page : 754 pages
File Size : 50,9 Mb
Release : 2016-09-09
Category : Computers
ISBN : 3319453777

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Computer Information Systems and Industrial Management by Khalid Saeed,Władysław Homenda Pdf

This book constitutes the proceedings of the 15th IFIP TC8 International Conference on Computer Information Systems and Industrial Management, CISIM 2016, held in Vilnius, Lithuania, in September 2016. The 63 regular papers presented together with 1 inivted paper and 5 keynotes in this volume were carefully reviewed and selected from about 89 submissions. The main topics covered are rough set methods for big data analytics; images, visualization, classification; optimization, tuning; scheduling in manufacturing and other applications; algorithms; decisions; intelligent distributed systems; and biometrics, identification, security.