Browse Results

Select your format based upon: 1) how you want to read your book, and 2) compatibility with your reading tool. To learn more about using Bookshare with your device, visit the Help Center.

Here is an overview of the specialized formats that Bookshare offers its members with links that go to the Help Center for more information.

• Bookshare Web Reader - A customized reading tool for Bookshare members offering all the features of DAISY with a single click of the "Read Now" link.
• DAISY (Digital Accessible Information System) - A digital book file format. DAISY books from Bookshare are DAISY 3.0 text files that work with just about every type of access technology that reads text. Books that contain images will have the download option of ‘DAISY Text with Images’.
• BRF (Braille Refreshable Format) - Digital Braille for use with refreshable Braille devices and Braille embossers.
• MP3 (MPEG audio layer 3) - Provides audio only with no text. These books are created with a text-to-speech engine and spoken by Kendra, a high quality synthetic voice from Ivona. Any device that supports MP3 playback is compatible.
• DAISY Audio - Similar to the DAISY option above; however, this option uses MP3 files created with our text-to-speech engine that utilizes Ivonas Kendra voice. This format will work with Daisy Audio compatible players such as Victor Reader Stream and Read2Go.
• EPUB - A standard e-book format that can be read on many tools, such as iBooks, Readium or others.
• Word - Accessible Word output, which can be unzipped and opened in any tool that allows .docx files

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part IX (Communications in Computer and Information Science #1963)

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VIII (Communications in Computer and Information Science #1962)

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VII (Communications in Computer and Information Science #1961)

The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.

Digital Transformation: Industry 4.0 to Society 5.0 (Disruptive Technologies and Digital Transformations for Society 5.0)

This book focuses on computing for Industry 4.0 illustrating different domains with the purpose of integration with existing domains for automation of processes. It gives readers an idea about the various challenges and design structure for computing of Industry 4.0. The contents include contributions from experts in Cyber-Physical Systems (CPS), the Internet of Things (IoT), Industrial Internet of Things (IIoT), cloud computing, cognitive computing, and artificial intelligence across the world, contributing their knowledge to identify the different characteristics of the above domains.

Frontiers in Genetics Algorithm Theory and Applications (Springer Tracts in Nature-Inspired Computing)

This book reviews recent advances in theory and applications of genetic algorithm (GA). The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.

Molecular Techniques for Studying Viruses: Practical Notes

This volume provides detailed information on various laboratory techniques and methodologies used for studying viruses at the molecular level. It covers essential topics such as nucleic acid isolation, protein isolation, PCR-based techniques, western blotting, serological assays, immunoprecipitation, small interfering RNA (siRNA), histological methods, bioinformatics and in silico simulations. Each chapter provides a detailed overview of the techniques, their applications, and their significance in virus research. The book is a useful resource as a practical introductory note that could be used for hands-on training of students, both undergraduates and junior postgraduates.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14448)

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14447)

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VI (Lecture Notes in Computer Science #14452)

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part V (Lecture Notes in Computer Science #14451)

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part IV (Lecture Notes in Computer Science #14450)

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part III (Lecture Notes in Computer Science #14449)

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Numerische Analyse von gewöhnlichen und retardierten Differentialgleichungen

Dieses Buch dient als prägnantes Lehrbuch für Studenten in einem fortgeschrittenen Undergraduate- oder First-Year-Graduate-Kurs in verschiedenen Disziplinen wie angewandte Mathematik, Steuerung und Ingenieurwesen, die den modernen Standard der numerischen Methoden von gewöhnlichen und verzögerten Differentialgleichungen verstehen wollen. Experten in denselben Bereichen können sich auch über die jüngsten Entwicklungen in der numerischen Analyse solcher Differentialsysteme informieren. Gewöhnliche Differentialgleichungen (ODEs) sind ein starkes mathematisches Werkzeug, um eine Vielzahl von Phänomenen in Wissenschaft und Technik auszudrücken. Neben ihrer eigenen Bedeutung ist eine der mächtigen Richtungen, in die sich ODEs ausdehnen, die Einbeziehung einer unbekannten Funktion mit verzögertem Argument. Dies wird als verzögerte Differentialgleichungen (Delay differential equations, DDEs) bezeichnet, die häufig in der mathematischen Modellierung vonBiologie, Demographie, Epidemiologie und Kontrolltheorie vorkommen. In einigen Fällen kann die Lösung einer Differentialgleichung durch algebraische Kombinationen bekannter mathematischer Funktionen erhalten werden. In vielen praktischen Fällen ist eine solche Lösung jedoch recht schwierig oder nicht verfügbar, und es sind numerische Näherungen erforderlich. Die moderne Entwicklung von Computern beschleunigt die Situation und eröffnet darüber hinaus mehr Möglichkeiten der numerischen Mittel. Die Kenntnis und das Fachwissen über die numerische Lösung von Differentialgleichungen wird nun in weiten Bereichen der Wissenschaft und des Ingenieurwesens vorausgesetzt.Man könnte meinen, dass ein gut organisiertes Softwarepaket wie MATLAB in etwa die gleiche Lösung bietet. In gewisser Weise stimmt das auch, aber man muss bedenken, dass der blinde Einsatz von Softwarepaketen den Benutzer in die Irre führt. Das Wesentliche der numerischen Lösung von Differentialgleichungen muss noch gelernt werden. Das vorliegende Buch soll das Wesentliche der numerischen Lösungen von gewöhnlichen Differentialgleichungen sowie von Verzögerungsdifferentialgleichungen vermitteln. Die Autoren haben insbesondere festgestellt, dass es noch wenige prägnante Lehrbücher über Verzögerungsdifferentialgleichungen gibt, und haben sich dann daran gemacht, die Lücke durch möglichst transparente Beschreibungen zu schließen. Die wichtigsten Algorithmen zur numerischen Lösung sind in diesem Buch klar beschrieben. Auch die Stabilität von Lösungen von ODEs und DDEs ist von entscheidender Bedeutung. Das Buch führt in die asymptotische Stabilität von analytischen und numerischen Lösungen ein und bietet einen praktischen Weg zur Analyse ihrer Stabilität unter Verwendung einer Theorie komplexer Funktionen.

Maschinelles Lernen: Die Grundlagen

Maschinelles Lernen (ML) ist zu einem alltäglichen Element in unserem Leben und zu einem Standardwerkzeug für viele Bereiche der Wissenschaft und Technik geworden. Um ML optimal nutzen zu können, ist es wichtig, die zugrunde liegenden Prinzipien zu verstehen. In diesem Buch wird ML als die rechnerische Umsetzung des wissenschaftlichen Prinzips betrachtet. Dieses Prinzip besteht darin, ein Modell eines gegebenen datenerzeugenden Phänomens kontinuierlich anzupassen, indem eine Form des Verlustes, der durch seine Vorhersagen entsteht, minimiert wird.Das Buch schult den Leser darin, verschiedene ML-Anwendungen und -Methoden in drei Komponenten (Daten, Modell und Verlust) aufzuschlüsseln, und hilft ihm so, aus dem riesigen Angebot an vorgefertigten ML-Methoden auszuwählen.Der Drei-Komponenten-Ansatz des Buches erlaubt eine einheitliche und transparente Darstellung verschiedener ML-Techniken. Wichtige Methoden zu Regularisierung, zum Schutz der Privatsphäre und zur Erklärbarkeit von ML-Methoden sind Spezialfälle dieses Drei-Komponenten-Ansatz.

Data Science and Artificial Intelligence: First International Conference, DSAI 2023, Bangkok, Thailand, November 27–29, 2023, Proceedings (Communications in Computer and Information Science #1942)

This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.

Computational Intelligence in Machine Learning: Proceedings of the 2nd International Conference ICCIML 2022 (Lecture Notes in Electrical Engineering #1106)

This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.

Notes on Tug-of-War Games and the p-Laplace Equation (SpringerBriefs on PDEs and Data Science)

This book addresses the interplay between stochastic processes and partial differential equations. More specifically, it focuses on the connection between the nonlinear p-Laplace equation and the stochastic game called tug-of-war with noise. The connection in this context was discovered approximately 15 years ago and has since provided new insights and approaches. These lecture notes provide a brief but detailed and accessible introduction to the subject and to the more research-oriented literature. The book also presents the parabolic case side by side with the elliptic case, highlighting the fact that elliptic and parabolic equations are close in spirit in certain aspects. Moreover, it covers some parts of the regularity theory for these problems. Graduate students and advanced undergraduate students with a basic understanding of probability and partial differential equations will find this book useful.

Artificial Intelligence Logic and Applications: The 3rd International Conference, AILA 2023, Changchun, China, August 5–6, 2023, Proceedings (Communications in Computer and Information Science #1917)

This book constitutes the proceedings of the Third International Conference, AILA 2023, held in Changchun, China, during August 5–6, 2023. The 26 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions. This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications.

Data Science and Applications: Proceedings of ICDSA 2023, Volume 1 (Lecture Notes in Networks and Systems #818)

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Data Science and Applications: Proceedings Of Icdsa 2023, Volume 1 (Lecture Notes In Networks And Systems Ser. #818)

Data Science and Applications: Proceedings of ICDSA 2023, Volume 4 (Lecture Notes in Networks and Systems #821)

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Applied Computing for Software and Smart Systems: Proceedings of ACSS 2023 (Lecture Notes in Networks and Systems #781)

This book features a collection of high-quality research papers presented at the 10th International Symposium on Applied Computing for Software and Smart systems (ACSS 2023), to be held during September 15–16, 2023, in Kolkata, India. The book presents innovative works by undergraduate, graduate students as well as Ph.D. scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.

Geomorphic Risk Reduction Using Geospatial Methods and Tools (Disaster Risk Reduction)

This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards.In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner.With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.

An Introduction to Dynamical Systems and Chaos (University Texts in the Mathematical Sciences)

This book discusses continuous and discrete nonlinear systems in systematic and sequential approaches. The unique feature of the book is its mathematical theories on flow bifurcations, nonlinear oscillations, Lie symmetry analysis of nonlinear systems, chaos theory, routes to chaos and multistable coexisting attractors. The logically structured content and sequential orientation provide readers with a global overview of the topic. A systematic mathematical approach has been adopted, featuring a multitude of detailed worked-out examples alongside comprehensive exercises. The book is useful for courses in dynamical systems and chaos and nonlinear dynamics for advanced undergraduate, graduate and research students in mathematics, physics and engineering. The second edition of the book is thoroughly revised and includes several new topics: center manifold reduction, quasi-periodic oscillations, Bogdanov–Takens, period-bubbling and Neimark–Sacker bifurcations, and dynamics on circle. The organized structures in bi-parameter plane for transitional and chaotic regimes are new active research interest and explored thoroughly. The connections of complex chaotic attractors with fractals cascades are explored in many physical systems. Chaotic attractors may attain multiple scaling factors and show scale invariance property. Finally, the ideas of multifractals and global spectrum for quantifying inhomogeneous chaotic attractors are discussed.

Intelligent Systems and Data Science: First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II (Communications in Computer and Information Science #1950)

This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023.The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: ​applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.