Less-supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main app...Lasīt vairāk
This introduces artificial neural network-based Lagrange optimization techniques for structural design in prestressed concrete based on Eurocode 2 and composite structures based on American Institute of Steel Construction and American Concrete Insti...Lasīt vairāk
Neural networks are at the heart of AIso ensure youre on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts youll need to understand and create neural networks. Or jump right into pr...Lasīt vairāk
This book aims to provide an overview of the fundamental concepts, principles, and applications of neural network technologies and brain-computer interfaces. By converging artificial intelligence, neuroscience, and engineering, these innovations hav...Lasīt vairāk
Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resou...Lasīt vairāk
Neural approaches have traditionally excelled at perceptual tasks like pattern recognition, whereas symbolic frameworks have offered powerful methods for knowledge representation, logical inference, and interpretability, but the current AI landscape...Lasīt vairāk
If only it were possible to develop automated and trainable neural systems that could justify their behavior in a way that could be interpreted by humans like a symbolic system. The field of Neurosymbolic AI aims to combine two disparate approaches t...Lasīt vairāk
This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques--...Lasīt vairāk
This book presents the proceedings of the NeuroIS Retreat 2024, June 9 - 11, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findi...Lasīt vairāk
This book presents advanced AI approaches and their practical applications in traffic and energy systems, expanding the limits of existing research and practice. It showcases the potential of neural networks and graph models to greatly improve the e...Lasīt vairāk
Deep learning has achieved impressive results in image classification, computer vision and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resour...Lasīt vairāk
The goal of this book is to use an expert Artificial Neural Network (ANN) to solve various science and engineering application problems and to discuss current developments in solving complicated engineering problems that cannot be solved using tradi...Lasīt vairāk
(Izdošanas datums: 14-Jan-2025, Paperback / softback, Izdevniecība: Morgan Kaufmann Publishers In, ISBN-13: 9780443292026)
Neural Network Algorithms and Their Engineering Applications presents the relevant techniques used to improve the global search ability of neural network algorithms in solving complex engineering problems with multimodal properties. The book p...Lasīt vairāk
This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The autho...Lasīt vairāk
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes crea...Lasīt vairāk
The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in di...Lasīt vairāk
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to so...Lasīt vairāk
Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such...Lasīt vairāk
This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understan...Lasīt vairāk
Simulation of brain neurons in real-time using biophysically-meaningful models is a pre-requisite for comprehensive understanding of how neurons process information and communicate with each other, in effect efficiently complementing in-vivo experime...Lasīt vairāk
This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passi...Lasīt vairāk
In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks. In each chapter, the analysis problems are firstly considered, where the stability, synchronization and other pe...Lasīt vairāk
This book introduces AI-based Lagrange optimization techniques which enable more optimised concrete structural design, while conforming to codes of practice. The principles are outlined and then applied to the design of RC columns and beams, offer...Lasīt vairāk
This book comprehensively covers concepts of recurrent neural networks and discusses practical issues such as predictability and nonlinearity detecting. It will an ideal text for senior undergraduate, graduate students, researchers, and profession...Lasīt vairāk
This book focuses on all the relevant topics of Deep Learning. It covers the conceptual, mathematical and practical aspects of deep learning & offers real time practical examples & case studies. It is aimed primarily at graduates, researchers and...Lasīt vairāk
In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less neurons than the original one. The asymmetry of the brain is best expressed by deformed...Lasīt vairāk
Handbook of Neural Engineering: A Modern Approach provides a comprehensive overview of the field from biology to recent technological advances through an interdisciplinary lens. The book is divided into three sections: 1) Biological Considerations...Lasīt vairāk
This book offers a comprehensive exploration of the transformative role that edge devices play in advancing Internet of Things (IoT) applications. By providing real-time processing, reduced latency, increased efficiency, improved security, and sca...Lasīt vairāk
Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based...Lasīt vairāk
(Izdošanas datums: 13-Jul-2024, Paperback / softback, Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783662689790)
How does artificial intelligence (AI) work and are there parallels to the human brain? What do natural and artificial intelligence have in common, and what are the differences? Is the brain nothing more than a biological computer? What are neural...Lasīt vairāk
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. This second edition introduces the latest LLM Wolfram capabilities, delves into the exploration of data...Lasīt vairāk
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, s...Lasīt vairāk
In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intel...Lasīt vairāk
Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning, and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNNs), which is a burgeoning research branch of Artificial Neural Networ...Lasīt vairāk
The definitive computer vision book is back, featuring the latest neural network architectures and an exploration of foundation and diffusion models Purchase of the print or Kindle book includes a free eBook in PDF format Key F...Lasīt vairāk
This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established togethe...Lasīt vairāk
Discover the flexibility of the PyTorch library for implementing new algorithms in a scalable and efficient way with this expert guide. This book will show you how to process data with deep learning methodologies using PyTorch and cover advanced top...Lasīt vairāk
This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence....Lasīt vairāk
An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deploym...Lasīt vairāk
This book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 1315, 2024. The 35 full papers and 17 workshop papers presented in this book we...Lasīt vairāk
This book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 1315, 2024.The 35 full papers 17 workshop papers presented in this book were car...Lasīt vairāk
The two-volume set LNAI 15497 and LNAI 15498 constitutes the refereed proceedings of the 14th International Conference on Brain Inspired Cognitive Systems, BICS 2024, held in Hefei, China, during December 68, 2024. The 56 full papers prese...Lasīt vairāk
The two-volume set LNAI 15497 and LNAI 15498 constitutes the refereed proceedings of the 14th International Conference on Brain Inspired Cognitive Systems, BICS 2024, held in Hefei, China, during December 68, 2024. The 56 full papers prese...Lasīt vairāk
A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machine learning and NLP. It covers the necessary theoretical context using minimal jargon also covers pra...Lasīt vairāk
This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, op...Lasīt vairāk
This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language. The scripts herein are coded for general purposes to be easily e...Lasīt vairāk
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees.In nearly all machine learning, decisions must be made given current knowledge. Surprisi...Lasīt vairāk
This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic. This book describes a hybrid method with three different techniques of intelligence computation: neural networks, optimization algorithm...Lasīt vairāk
The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where youll learn the state-of-the-ar...Lasīt vairāk
This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 1011 August 2023. This book provides a collection of...Lasīt vairāk
