State of the Art in Neural Networks and Their Applications

Produk Detail:
  • Author : Ayman S. El-Baz
  • Publisher : Academic Press
  • Pages : 324 pages
  • ISBN : 0128218495
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>State of the Art in Neural Networks and Their Applications

Download or Read online State of the Art in Neural Networks and Their Applications full in PDF, ePub and kindle. this book written by Ayman S. El-Baz and published by Academic Press which was released on 21 July 2021 with total page 324 pages. We cannot guarantee that State of the Art in Neural Networks and Their Applications book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

State of the Art in Neural Networks and Their Applications
  • Author : Ayman S. El-Baz,Jasjit S. Suri
  • Publisher : Academic Press
  • Release : 21 July 2021
GET THIS BOOK State 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 : 27 October 2021
GET THIS BOOK Business 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

Reservoir computing based Biologically Inspired Artificial Neural Networks and Their Applications in Power Systems

Reservoir computing based  Biologically Inspired Artificial Neural Networks and Their Applications in Power Systems
  • Author : Jing Dai
  • Publisher : Unknown
  • Release : 27 October 2021
GET THIS BOOK Reservoir computing based Biologically Inspired Artificial Neural Networks and Their Applications in Power Systems

Computational intelligence techniques, such as artificial neural networks (ANNs), have been widely used to improve the performance of power system monitoring and control. Although inspired by the neurons in the brain, ANNs are largely different from living neuron networks (LNNs) in many aspects. Due to the oversimplification, the huge computational potential of LNNs cannot be realized by ANNs. Therefore, a more brain-like artificial neural network is highly desired to bridge the gap between ANNs and LNNs. The focus of this

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 : 26 November 2019
GET THIS BOOK Complex 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 : 05 December 2018
GET THIS BOOK Complex 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,

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 : 15 April 2019
GET THIS BOOK Reconfigurable 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 : 27 October 2021
GET THIS BOOK Cellular 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).

Artificial Neural Networks

Artificial Neural Networks
  • Author : Ali Roghani
  • Publisher : Createspace Independent Publishing Platform
  • Release : 09 August 2016
GET THIS BOOK Artificial Neural Networks

Neural networks are state-of-the-art, trainable algorithms that emulate certain major aspects in the functioning of the human brain. This gives them a unique, self-training ability, the ability to formalize unclassified information and, most importantly, the ability to make forecasts based on the historical information they have at their disposal. Neural networks have been used increasingly in a variety of business applications, including forecasting and marketing research solutions. In some areas, such as fraud detection or risk assessment, they are the

Advances in Neural Networks ISNN 2019

Advances in Neural Networks     ISNN 2019
  • Author : Huchuan Lu,Huajin Tang,Zhanshan Wang
  • Publisher : Springer
  • Release : 26 June 2019
GET THIS BOOK Advances 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

Enhanced Convolutional Neural Networks and Their Application to Photo Optical Character Recognition

Enhanced Convolutional Neural Networks and Their Application to Photo Optical Character Recognition
  • Author : Chen-Yu Lee
  • Publisher : Unknown
  • Release : 27 October 2021
GET THIS BOOK Enhanced Convolutional Neural Networks and Their Application to Photo Optical Character Recognition

This thesis presents two principled approaches to improve the performance of convolutional neural networks on visual recognition and demonstrates the effectiveness of CNNs on optical character recognition problem. First, we propose deeply-supervised nets (DSN), a method that simultaneously minimizes classification error and improves the directness and transparency of the hidden layer learning process. We focus our attention on three aspects of traditional CNN-type architectures: (1) transparency in the effect intermediate layers have on overall classification; (2) discriminativeness and robustness of learned features,

Understanding Neural Networks and Fuzzy Logic

Understanding Neural Networks and Fuzzy Logic
  • Author : Stamatios V. Kartalopoulos
  • Publisher : Wiley-IEEE Press
  • Release : 27 October 1996
GET THIS BOOK Understanding 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

Cellular Neural Networks and Their Applications

Cellular Neural Networks and Their Applications
  • Author : Ronald Tetzlaff
  • Publisher : World Scientific
  • Release : 08 July 2002
GET THIS BOOK Cellular 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

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

Proceedings of the 21st EANN  Engineering Applications of Neural Networks  2020 Conference
  • Author : Lazaros Iliadis,Plamen Parvanov Angelov,Chrisina Jayne,Elias Pimenidis
  • Publisher : Springer Nature
  • Release : 27 May 2020
GET THIS BOOK Proceedings of the 21st EANN Engineering Applications of Neural Networks 2020 Conference

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

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing
  • Author : Karthiek Reddy Bokka,Shubhangi Hora,Tanuj Jain
  • Publisher : Unknown
  • Release : 07 June 2019
GET THIS BOOK Deep Learning for Natural Language Processing

Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key Features Gain insights into the basic building blocks of natural language processing Learn how to select the best deep neural network to solve your NLP problems Explore convolutional and recurrent neural networks and long short-term memory networks Book Description Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed