Springer Handbook Of Bio Neuro Informatics

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Springer Handbook of Bio-/Neuro-Informatics

Author : Nikola Kasabov
Publisher : Springer Science & Business Media
Page : 1229 pages
File Size : 40,9 Mb
Release : 2013-11-30
Category : Technology & Engineering
ISBN : 9783642305740

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Springer Handbook of Bio-/Neuro-Informatics by Nikola Kasabov Pdf

The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences. With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.

Springer Handbook of Nanotechnology

Author : Bharat Bhushan
Publisher : Springer
Page : 1500 pages
File Size : 50,5 Mb
Release : 2017-11-05
Category : Technology & Engineering
ISBN : 9783662543573

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Springer Handbook of Nanotechnology by Bharat Bhushan Pdf

This comprehensive handbook has become the definitive reference work in the field of nanoscience and nanotechnology, and this 4th edition incorporates a number of recent new developments. It integrates nanofabrication, nanomaterials, nanodevices, nanomechanics, nanotribology, materials science, and reliability engineering knowledge in just one volume. Furthermore, it discusses various nanostructures; micro/nanofabrication; micro/nanodevices and biomicro/nanodevices, as well as scanning probe microscopy; nanotribology and nanomechanics; molecularly thick films; industrial applications and nanodevice reliability; societal, environmental, health and safety issues; and nanotechnology education. In this new edition, written by an international team of over 140 distinguished experts and put together by an experienced editor with a comprehensive understanding of the field, almost all the chapters are either new or substantially revised and expanded, with new topics of interest added. It is an essential resource for anyone working in the rapidly evolving field of key technology, including mechanical and electrical engineers, materials scientists, physicists, and chemists.

Springer Handbook of Electrochemical Energy

Author : Cornelia Breitkopf,Karen Swider-Lyons
Publisher : Springer
Page : 1016 pages
File Size : 43,8 Mb
Release : 2016-12-05
Category : Technology & Engineering
ISBN : 9783662466575

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Springer Handbook of Electrochemical Energy by Cornelia Breitkopf,Karen Swider-Lyons Pdf

This comprehensive handbook covers all fundamentals of electrochemistry for contemporary applications. It provides a rich presentation of related topics of electrochemistry with a clear focus on energy technologies. It covers all aspects of electrochemistry starting with theoretical concepts and basic laws of thermodynamics, non-equilibrium thermodynamics and multiscale modeling. It further gathers the basic experimental methods such as potentiometry, reference electrodes, ion-sensitive electrodes, voltammetry and amperometry. The contents cover subjects related to mass transport, the electric double layer, ohmic losses and experimentation affecting electrochemical reactions. These aspects of electrochemistry are especially examined in view of specific energy technologies including batteries, polymer electrolyte and biological fuel cells, electrochemical capacitors, electrochemical hydrogen production and photoelectrochemistry. Organized in six parts, the overall complexity of electrochemistry is presented and makes this handbook an authoritative reference and definitive source for advanced students, professionals and scientists particularly interested in industrial and energy applications.

Machine Learning for Health Informatics

Author : Andreas Holzinger
Publisher : Springer
Page : 481 pages
File Size : 53,7 Mb
Release : 2016-12-09
Category : Computers
ISBN : 9783319504780

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Machine Learning for Health Informatics by Andreas Holzinger Pdf

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

Proceedings of the 22nd Engineering Applications of Neural Networks Conference

Author : Lazaros Iliadis,John Macintyre,Chrisina Jayne,Elias Pimenidis
Publisher : Springer Nature
Page : 521 pages
File Size : 54,8 Mb
Release : 2021-06-23
Category : Technology & Engineering
ISBN : 9783030805685

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Proceedings of the 22nd Engineering Applications of Neural Networks Conference by Lazaros Iliadis,John Macintyre,Chrisina Jayne,Elias Pimenidis Pdf

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.

Springer Handbook of Computational Intelligence

Author : Janusz Kacprzyk,Witold Pedrycz
Publisher : Springer
Page : 1634 pages
File Size : 50,5 Mb
Release : 2015-05-28
Category : Technology & Engineering
ISBN : 9783662435052

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Springer Handbook of Computational Intelligence by Janusz Kacprzyk,Witold Pedrycz Pdf

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Analyzing Network Data in Biology and Medicine

Author : Nataša Pržulj
Publisher : Cambridge University Press
Page : 647 pages
File Size : 47,8 Mb
Release : 2019-03-28
Category : Language Arts & Disciplines
ISBN : 9781108432238

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Analyzing Network Data in Biology and Medicine by Nataša Pržulj Pdf

Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Author : Nikola K. Kasabov
Publisher : Springer
Page : 738 pages
File Size : 45,9 Mb
Release : 2018-08-29
Category : Technology & Engineering
ISBN : 9783662577158

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Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence by Nikola K. Kasabov Pdf

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

Author : Bhabesh Deka,Sumit Datta
Publisher : Springer
Page : 122 pages
File Size : 50,8 Mb
Release : 2018-12-29
Category : Technology & Engineering
ISBN : 9789811335976

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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms by Bhabesh Deka,Sumit Datta Pdf

This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in general outperform the greedy techniques in terms of quality of reconstructions. Recently, fast convex optimization based reconstruction algorithms have been developed which are also able to achieve the benchmarks for the use of CS-MRI in clinical practice. This book enables graduate students, researchers, and medical practitioners working in the field of medical image processing, particularly in MRI to understand the need for the CS in MRI, and thereby how it could revolutionize the soft tissue imaging to benefit healthcare technology without making major changes in the existing scanner hardware. It would be particularly useful for researchers who have just entered into the exciting field of CS-MRI and would like to quickly go through the developments to date without diving into the detailed mathematical analysis. Finally, it also discusses recent trends and future research directions for implementation of CS-MRI in clinical practice, particularly in Bio- and Neuro-informatics applications.

Handbook of Research on Machine Learning Innovations and Trends

Author : Hassanien, Aboul Ella,Gaber, Tarek
Publisher : IGI Global
Page : 1093 pages
File Size : 48,5 Mb
Release : 2017-04-03
Category : Computers
ISBN : 9781522522300

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Handbook of Research on Machine Learning Innovations and Trends by Hassanien, Aboul Ella,Gaber, Tarek Pdf

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

Mental Health Informatics

Author : Jessica D. Tenenbaum,Piper A. Ranallo
Publisher : Springer Nature
Page : 540 pages
File Size : 44,9 Mb
Release : 2021-11-18
Category : Medical
ISBN : 9783030705589

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Mental Health Informatics by Jessica D. Tenenbaum,Piper A. Ranallo Pdf

This textbook provides a detailed resource introducing the subdiscipline of mental health informatics. It systematically reviews the methods, paradigms, tools and knowledge base in both clinical and bioinformatics and across the spectrum from research to clinical care. Key foundational technologies, such as terminologies, ontologies and data exchange standards are presented and given context within the complex landscape of mental health conditions, research and care. The learning health system model is utilized to emphasize the bi-directional nature of the translational science associated with mental health processes. Descriptions of the data, technologies, paradigms and products that are generated by and used in each process and their limitations are discussed. Mental Health Informatics: Enabling a Learning Mental Healthcare System is a comprehensive introductory resource for students, educators and researchers in mental health informatics and related behavioral sciences. It is an ideal resource for use in a survey course for both pre- and post-doctoral training programs, as well as for healthcare administrators, funding entities, vendors and product developers working to make mental healthcare more evidence-based.

Engineering Applications of Neural Networks

Author : Lazaros Iliadis,Chrisina Jayne
Publisher : Springer
Page : 402 pages
File Size : 53,8 Mb
Release : 2015-09-28
Category : Computers
ISBN : 9783319239835

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Engineering Applications of Neural Networks by Lazaros Iliadis,Chrisina Jayne Pdf

This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. The 36 revised full papers presented together with the abstracts of three invited talks and two tutorials were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on industrial-engineering applications of ANN; bioinformatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; pattern recognition-facial mapping; classification; financial intelligent modeling; echo state networks.

Engineering Applications of Neural Networks

Author : Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne
Publisher : Springer
Page : 326 pages
File Size : 43,6 Mb
Release : 2013-09-25
Category : Computers
ISBN : 9783642410161

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Engineering Applications of Neural Networks by Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne Pdf

The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.

Digital Hearing Healthcare

Author : Qinglin Meng,Jing Chen,Changxin Zhang,Dennis L. Barbour,Fan-Gang Zeng
Publisher : Frontiers Media SA
Page : 365 pages
File Size : 52,9 Mb
Release : 2022-12-05
Category : Science
ISBN : 9782889768141

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Digital Hearing Healthcare by Qinglin Meng,Jing Chen,Changxin Zhang,Dennis L. Barbour,Fan-Gang Zeng Pdf

We would like to acknowledge VCCA2020-Organizer Jan-Willem Wasmann, who has acted as coordinator and has contributed to the preparation of the proposal for this Research Topic. Dr. Qinglin Meng is working on an audio project for Huawei Technologies Co., Ltd. Dr. Jing Chen is working on research projects with Sonova AG. Dr. Fan-Gang Zeng owns stock in Axonics, Nurotron, Syntiant, Velox and Xsense. Dr. Dennis Barbour founded and owns equity in Bonauria. All other Topic Editor declare no conflicts of interest.

Handbook On Computational Intelligence (In 2 Volumes)

Author : Angelov Plamen Parvanov
Publisher : World Scientific
Page : 964 pages
File Size : 47,9 Mb
Release : 2016-03-18
Category : Computers
ISBN : 9789814675024

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Handbook On Computational Intelligence (In 2 Volumes) by Angelov Plamen Parvanov Pdf

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.