State of the Art in Neural Networks and Their Applications

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  • Publisher : Academic Press
  • Release : 21 July 2021
  • ISBN : 9780128218495
  • Page : 324 pages
  • Rating : 4.5/5 from 103 voters

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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.

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State of the Art in Neural Networks and Their Applications

State of the Art in Neural Networks and Their Applications
  • Author : Ayman S. El-Baz,Jasjit S. Suri
  • Publisher : Academic Press
  • Release Date : 2021-07-21
  • ISBN : 9780128218495
GET THIS BOOKState of the Art in Neural Networks and Their Applications

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

Business Applications of Neural Networks

Business Applications of Neural Networks
  • Author : Bill Edisbury
  • Publisher : World Scientific
  • Release Date : 2000
  • ISBN : 9789812813312
GET THIS BOOKBusiness Applications of Neural Networks

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

State of the Art in Neural Networks and Their Applications

State of the Art in Neural Networks and Their Applications
  • Author : Jasjit S. Suri,Ayman S.El-Baz
  • Publisher : Elsevier
  • Release Date : 2023-01-01
  • ISBN : 9780128199121
GET THIS BOOKState of the Art in Neural Networks and Their Applications

State of the Art in Neural Networks and Their Applications, Volume 2 presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book covers 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

Computer Information Systems and Industrial Management

Computer Information Systems and Industrial Management
  • Author : Khalid Saeed,Władysław Homenda
  • Publisher : Springer
  • Release Date : 2016-09-08
  • ISBN : 9783319453781
GET THIS BOOKComputer Information Systems and Industrial Management

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.

Complex Networks and Their Applications VIII

Complex Networks and Their Applications VIII
  • Author : Hocine Cherifi,Sabrina Gaito,José Fernendo Mendes,Esteban Moro,Luis Mateus Rocha
  • Publisher : Springer Nature
  • Release Date : 2019-11-26
  • ISBN : 9783030366834
GET THIS BOOKComplex Networks and Their Applications VIII

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,

Complex Networks and Their Applications VII

Complex Networks and Their Applications VII
  • Author : Luca Maria Aiello,Chantal Cherifi,Hocine Cherifi,Renaud Lambiotte,Pietro Lió,Luis M. Rocha
  • Publisher : Springer
  • Release Date : 2018-12-05
  • ISBN : 9783030054144
GET THIS BOOKComplex Networks and Their Applications VII

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,

Cellular Neural Networks and Their Applications

Cellular Neural Networks and Their Applications
  • Author : Ronald Tetzlaff
  • Publisher : World Scientific
  • Release Date : 2002
  • ISBN : 9789812381217
GET THIS BOOKCellular Neural Networks and Their Applications

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).

Complex Networks & Their Applications X

Complex Networks & Their Applications X
  • Author : Rosa Maria Benito
  • Publisher : Springer Nature
  • Release Date : 2022-10-05
  • ISBN : 9783030934095
GET THIS BOOKComplex Networks & Their Applications X

Reconfigurable Cellular Neural Networks and Their Applications

Reconfigurable Cellular Neural Networks and Their Applications
  • Author : Müştak E. Yalçın,Tuba Ayhan,Ramazan Yeniçeri
  • Publisher : Springer
  • Release Date : 2019-04-15
  • ISBN : 9783030178406
GET THIS BOOKReconfigurable Cellular Neural Networks and Their Applications

This book explores how neural networks can be designed to analyze sensory data in a way that mimics natural systems. It introduces readers to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson–Cowan model. In turn, two properties that are vital in nature are added to the CNN to help it more accurately deliver mimetic behavior: randomness of connection, and the presence of different dynamics (excitatory and inhibitory) within the same network. It

Cellular Neural Networks and Their Applications

Cellular Neural Networks and Their Applications
  • Author : Ronald Tetzlaff
  • Publisher : World Scientific
  • Release Date : 2002-07-08
  • ISBN : 9789814487764
GET THIS BOOKCellular Neural Networks and Their Applications

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). Contents:On the Relationship Between CNNs and PDEs (M Gilli et al.)Moving Object Tracking on Panoramic Images (P Földesy et

Advances in Neural Networks – ISNN 2019

Advances in Neural Networks – ISNN 2019
  • Author : Huchuan Lu,Huajin Tang,Zhanshan Wang
  • Publisher : Springer
  • Release Date : 2019-06-26
  • ISBN : 9783030228088
GET THIS BOOKAdvances in Neural Networks – ISNN 2019

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and

An Introduction to Neural Networks

An Introduction to Neural Networks
  • Author : Kevin Gurney
  • Publisher : CRC Press
  • Release Date : 2018-10-08
  • ISBN : 9781482286991
GET THIS BOOKAn Introduction to Neural Networks

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several

Understanding Neural Networks and Fuzzy Logic

Understanding Neural Networks and Fuzzy Logic
  • Author : Stamatios V. Kartalopoulos
  • Publisher : Wiley-IEEE Press
  • Release Date : 1996
  • ISBN : UOM:39015037336958
GET THIS BOOKUnderstanding Neural Networks and Fuzzy Logic

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

Complex-Valued Neural Networks with Multi-Valued Neurons

Complex-Valued Neural Networks with Multi-Valued Neurons
  • Author : Igor Aizenberg
  • Publisher : Springer
  • Release Date : 2011-06-24
  • ISBN : 9783642203534
GET THIS BOOKComplex-Valued Neural Networks with Multi-Valued Neurons

Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Its activation function is a function only of argument (phase) of the weighted sum. MVN derivative-free learning is based on the error-correction rule. A single

Computational Intelligence and Its Applications

Computational Intelligence and Its Applications
  • Author : H K Lam,Steve S H Ling,Hung T Nguyen
  • Publisher : World Scientific
  • Release Date : 2012-07-17
  • ISBN : 9781908977076
GET THIS BOOKComputational Intelligence and Its Applications

This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various