Artificial intelligence (AI) Books
Springer Fachmedien Wiesbaden Roboterkinematik — Grundlagen, Invertierung und
Book SynopsisTable of Contents1 Einführung.- 1.1 Motivation.- 1.2 Literaturüberblick.- 1.3 Ziele und Gliederung der Arbeit.- 2 Grundlagen.- 2.1 Die Denavit-Hartenberg Notation.- 2.2 Duale (3×3)-Matrizen und Quaternionen.- 2.3 Der Paul’sche Ansatz zur Lösung des IKP.- 2.4 Erkennung global degenerierter Roboter.- 2.5 Vereinfachung der Gelenktabelle.- 2.6 Spiegelung von Robotergeometrien.- 2.7 Festlegung der Systemeingabe.- 3 Roboter mit einer ebenen Gelenkgruppe.- 3.1 Ebene Gelenkgruppen in Heiß’schen Klassen.- 3.2 Herleitung der Ansatzgleichungen.- 3.3 Berechnung der Lösung im allgemeinen Fall.- 3.4 Sonderfälle quadratischer Lösbarkeit.- 3.5 Lösung der verbleibenden Gelenkvariablen.- 3.6 Ergebnisse.- 4 Konzepte.- 4.1 Systemschale und Systemkern.- 4.2 Funktionsweise des Systemkerns.- 4.3 Konzepte anderer Invertierungssysteme.- 5 Prototypgleichungen.- 5.1 Neu entwickelte Prototypgleichungen.- 5.2 Prototypen für ein Invertierungssystem.- 6 Implementierung.- 6.1 Auswahl von Prolog.- 6.2 Interne Repräsentation von Gleichungen.- 6.3 Gleichungsmerkmale.- 6.4 Suche nach lösbaren Gleichungen.- 6.5 Extraktion der Gleichungsparameter.- 6.6 Ein- und Ausgaben des Programms SKIP.- 7 Leistungsbetrachtung.- 7.1 Implementierungsstand der Testversion.- 7.2 Geometrien aus Heiß’schen Klassen.- 7.3 Orthogonale Geometrien aus Klasse 3 und 9.- 7.4 Drei sich schneidende Rotationsachsen.- 7.5 Spezialfälle aus den Klassen 2 und 5.- 7.6 Geometrien mit einer ebenen Gelenkgruppe.- 7.7 Exemplarische Betrachtung der Lösungsgüte.- 7.8 Zusammenfassende Bewertung.- 8 Anwendungen.- 8.1 Invertierung redundanter Roboter.- 8.2 Integration in ein Robotersimulationssystem.- 9 Zusammenfassung und Ausblick.- A Ergänzung der Grundlagen.- A.1 Invertierung einer SCARA-Geometrie.- A.2 Determinante und globale Degeneration.- A.3 Spiegelung einer Robotergeometrie.- B Gleichungsmaterial Kapitel 3.- B.1 Fall 1.- B.2 Fall 2.1.- B.3 Fall 2.2.- C Prototypgleichungen.- C.1 Aus der Literatur bekannte Prototypen.- C.2 Ableitung der Prototypen 15, 16 und 17.- D Protokolle.- D.1 Gleichungssatz für die Stanford-Geometrie.- D.2 6-achsige SCARA-Geometrie.- D.3 8-achsige redundante Geometrie.- E Protokolle zur Leistungsbewertung.- E.1 Geometrien aus Heiß’schen Klassen.- E.2 Lösungen über Prototyp 18.- E.3 Geometrien mit einer ebenen Gelenkgruppe.
£58.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG An Introduction to Default Logic
Book SynopsisThis book is written for those who are interested in a fonnalization of human reasoning, especially in order to build "intelligent" computer systems. Thus, it is mainly designed for the Artificial Intelligence community, both students and researchers, although it can be useful for people working in related fields like cognitive psychology. The major theme is not Artificial Intelligence applications, although these are discussed throughout in sketch fonn. Rather, the book places a heavy emphasis on the fonnal development of default logic, results and problems. Default logic provides a fonnalism for an important part of human reasoning. Default logic is specifically concerned with common sense reasoning, which has recently been recognized in the Artificial Intelligence literature to be of fundamental importance for knowledge representation. Previously, fonnalized reasoning systems failed in real world environments, though succeeding with an acceptable ratio in well-defined environments. This situation enabled empirical explorations and the design of systems without theoretical justification. In particular, they could not be compared since there was no basis to judge their respective merits. Default logic turned out to be very fruitful by proving the correctness of some of them. We hope that this book will initiate other successful developments in default logic.Table of Contents1. Default Reasoning.- 2. Formal Logic as a Knowledge Representation Scheme.- 3. First Order Logic.- 4. Nonmonotonic Extensions for First Order Logic.- 5. Presentation of Default Logic.- 6. Formal Development of Default Logic.- 7. Normal Defaults.- 8. Further Topics in Default Logic.- 9. Fragments of Default Logic.- 10. Problems with Default Logic.- 11. Default Logic Revisited.- 12. Circumscription.- 13. Other Logic Formalizations of Nonmonotonic Reasoning.- Appendix: Origin of the Theorems.- References.- Table of Symbols.
£80.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Fuzzy Implications
Book SynopsisNothing new had been done in Logic since Aristotle! -KurtGodel .. (1906-1978) Fuzzyimplicationsareoneof themain operationsinfuzzy logic.Theygeneralize the classical implication, which takes values in {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1]. In classical logic the implication canbede?nedindi?erentways.Threeofthesehavecometo assumegreatert- oreticalimportance,viz. the usual materialimplication from the Kleene algebra, the implication obtained as the residuum of the conjunction in Heyting algebra (also called pseudo-Boolean algebra) in the intuitionistic logic framework and the implication (also called as 'Sasaki arrow') in the setting of quantum logic. Interestingly, despite their di?ering de?nitions, their truth tables are identical in classical case. However, the natural generalizations of the above de?nitions in the fuzzy logic framework are not identical. This diversity is more a boon than a bane and has led to some intensive research on fuzzy implications for close to three decades. It will be our endeavor to cover the various works churned out in this period to su?cient depth and allowable breadth in this treatise. In the forewordto Klir andYuan's book[147],ProfessorLot?A. Zadehstates the following: "The problem is that the term 'fuzzy logic' has two di?erent meanings.Table of ContentsAn Introduction to Fuzzy Implications.- An Introduction to Fuzzy Implications.- I: Analytical Study of Fuzzy Implications.- Fuzzy Implications from Fuzzy Logic Operations.- Fuzzy Implications from Generator Functions.- Intersections between Families of Fuzzy Implications.- Fuzzy Implications from Uninorms.- II: Algebraic Study of Fuzzy Implications.- Algebraic Structures of Fuzzy Implications.- Fuzzy Implications and Some Functional Equations.- III: Applicational Study of Fuzzy Implications.- Fuzzy Implications in Approximate Reasoning.
£116.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Springer Handbook of Bio-/Neuro-Informatics
Book SynopsisThe 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.Trade ReviewFrom the book reviews:“This handbook is structured in 12 parts, covering a wide variety of notions associated with bio- and neuroinformatics … . The handbook is a valuable and timely resource, which can be used by undergraduates, postgraduates and established researchers. By presenting together a variety of (linked) approaches, it provides a fantastic source for bioinformaticians and neuroinformaticians alike.” (Irina Ioana Mohorianu, zbMATH, Vol. 1304, 2015)“This is the very best of the encyclopedias and comprehensive book’s about both Medical, Molecular, Genetic, and Neural Informatics currently available. … this is a good textbook for graduate students as a Primer on Neurophysiology and Molecular Medicine. Professionals in these areas will find this book very useful in their daily work … . book is very well referenced at the end of each chapter discussion. … I am pleased to recommend this book to new researchers in the field.” (Joseph J. Grenier, Amazon.com, November, 2014)Table of ContentsChap. 1 Understanding Nature - Symbiosis of Information Science, Bioinformatics and NeuroinformaticsPart A Understanding Information Processes in Biological Systems (Ed. Heike Sichtig)Chap. 2 Information Processing at the Cellular Level.- Chap. 3 Integrated Approaches for Understadning the Cell.- Chap. 4 Information Processing at the Genomics Level.- Chap. 5 Understanding Information Processes at the Proteomics Level.- Chap. 6 Pattern Formation and Animal Morphogenesis.- Chap. 7 Understanding Evolving Bacteria ColoniesPart B Molecular Biology, Genome and Proteome Informatics (Ed.: Chris Brown)Chap. 8 Exploring Interactions and Structural Organization of Genomes.- Chap. 9 Detecting microRNA Signatures Using Gene Expression Analysis.- Chap. 10 Bioinformatics Methods to Discover Cis-Regulatory Elements.- Chap. 11 Protein Modeling and Structural PredictionPart C Machine-Learning Methods (Eds: Irwin King, Kaizhu Huang, Heike Sichtig)Chap. 12 Machine Learning Methodology in Bioinformatics.- Chap. 13 Case-Based Reasoning for Biomedical Informatics and Medicine.- Chap. 14 Analysis of Multiple DNA Microarray Datasets.- Chap. 15 Fuzzy Logic and Rule-Based Methods in Bioinformatics.- Chap. 16 Phylogenetic Cladograms: Understanding and Learning from Biomedical Data.- Chap. 17 Understanding Protein Folding Modeling.- Chap. 18 Kernel Methods and Applications in BioinformaticsPart D Modeling Regulatory Networks: The Systems Biology Approach (Eds: Chris Brown, Heike Sichtig, Irwin King, Kaizhu Huang, Francesco Masulli)Chap. 19 Path Finding in Biological Networks.- Chap. 20 Inferring Transcription Networks from Data.- Chap. 21 Analysis of Transcriptional Regulation.- Chap. 22 Inferring Genetic Networks.- Chap. 23 Structural Pattern Discovery.- Chap. 24 Molecular Networks - Representation and Analysis.- Chap. 25 Whole-Exome Sequencing DataPart E Bioinformatics Databases and Ontologies (Ed.: Francesco Masulli)Chap. 26 Bioinformatics Databases.- Chap. 27 Ontologies for BioinformaticsPart F Bioinformatics in Medicine, Health and Ecology (Eds: Francesco Masulli, Danilo Mandic)Chap. 28 Statistical Signal Processing Models And Methods.- Chap. 29 Epigenetics.- Chap. 30 Control of Autoimmune Diseases.- Chap. 311 Nutrigenomics.- Chap. 32 Bioinformatics and Nanotechnologies: Nanomedicine.- Chap. 33 Information Modeling Technologies for Personalized Medicine.- Chap. 34 Health Informatics.- Chap. 35 Ecological Informatics Part G Understanding Information Processes in the Brain and the Nervous System (Ed.: Heike Sichtig)Chap. 36 Information Processing in Synapses.- Chap. 37 Spiking Neural Networks.- Chap. 38 Statistical Methods for fMRI Activation Detection.- Chap. 39 Neural Circuit Models and Neuropathological Oscillations.- Chap. 40 Understanding the Brain via fMRI ClassificationPart H Advanced Signal-Processing Methods for Brain Signal Analysis and Modeling (Ed.: Danilo Mandic)Chap. 41 Nonlinear Adaptive Filtering in Kernel Spaces.- Chap. 42 Analysis of Multiple Spike Trains.- Chap. 43 Adaptive Multiscale Time-Frequency AnalysisPart I Information Modeling of Perception, Sensation and Cognition (Eds: Lubica Benuskova, Heike Sichtig)Chap. 44 Modeling Vision with the Neocognitron.- Chap. 45 Information Processing in the Gustatory System.- Chap. 46 EEG Signal Processing for Brain Computer Interfaces.- Chap. 47 Spiking Neural Networks.- Chap. 48 Neurocomputational Models of Natural LanguagePart J Neuroinformatics Databases and Ontologies (Eds: Shiro Usui, Raphael Ritz)Chap. 49 Ontologies and Machine Learning Systems .- Chap. 50 Integration of Large-Scale NeuroinformaticsPart K Information Modeling for Brain Diseases (Eds: Lubica Benuskova, Francesco Masulli)Chap. 51 Alzheimer’s Disease.- Chap. 52 Integrating Data for Modeling Biological Complexity.- Chap. 53 A Machine Learning Pipeline .- Chap. 54 Modeling Gene-Dependent Dynamics of Cortex and Epilepsy.- Chap. 55 Information Methods for Predicting Stroke.- Chap. 56 Recognition of Rehabilitation ActionsPart L Nature Inspired Integrated Information Technologies(Eds: Lubica Benuskova, Danilo Mandic)Chap. 57 Brain-Like Robotics.- Chap. 58 Developmental Learning for User Activities.- Chap. 59 Quantum and Biocomputing - Common Notions and Targets.- Chap. 60 Brain-, Gene-, and Quantum-Inspired Computational Intelligence.- Chap. 61 The Brain and Creativity.- Chap. 62 The Allen Brain AtlasAcknowledgements.- About the Authors.- Subject Index
£251.99
Springer Fachmedien Wiesbaden Handbuch Robotik: Programmieren und Einsatz intelligenter Roboter
Book SynopsisZiele des Buches ist es, den Roboter als lernendes System aufzufassen, es als wissensbasiertes Modellsystem zu konzeptionalisieren und dieses System durch intelligente, rechnerbasierte Technologien in funktionaler Hinsicht zu implementieren. Das Ziel eines Ansatzes liegt in der Steigerung des systemischen Intelligenzquotienten (sIQ). Erreichbar wird dieses Ziel durch eine Modellierung auf Basis der Kognitionstheorie und der konkreten (Aus) implementierung dieser Modelle durch den Einsatz der Cognitive Computing Technologien unter der Programmiersprache Java.Table of ContentsEinleitung als Motivation.- Grundlagen.- Vorgehensmodell.- Konzeptionalisierung.- Implementierung.- Validierung.- Ausblick als Motivation.- Anhang.
£113.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Uncertainty Modeling for Data Mining: A Label
Book SynopsisMachine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning.Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China.
£80.99
Springer Fachmedien Wiesbaden Smart City: Strategie, Governance und Projekte
Book SynopsisMit diesem Buch geben die Herausgeber einen umfassenden Überblick zur Nutzung von Informations- und Kommunikationstechnologien in Städten und urbanen Gebieten, um den sozialen und ökologischen Lebensraum nachhaltig zu entwickeln. Unter dem Begriff „Smart City“ werden entsprechende Initiativen zusammengefasst. Dazu zählen Projekte zur Verbesserung der Mobilität, Nutzung intelligenter Systeme für Wasser- und Energieversorgung, Förderung sozialer Netzwerke, Erweiterung politischer Partizipation, Ausbau von Entrepreneurship, Schutz der Umwelt sowie Erhöhung von Sicherheit und Lebensqualität. Das Herausgeberwerk widmet sich der Vielfalt dieser webbasierten Entwicklungen für urbane Räume und zeigt erste Erfahrungen aus Pionierprojekten.Das Werk richtet sich an Stadtentwickler, Politiker und Citoyen sowie Wirtschaftsinformatiker. Es hilft dem Leser, Einsatzgebiete im öffentlichen Lebensraum zu erkennen und Lösungsansätze zu bewerten.Table of ContentsSmart Governance - Smart Partizipation - Smart Living - Smart Education - Smart Mobility - Smart Energy - Smart Economy
£56.99
Springer Die humanoide Herausforderung: Leben und Existenz
Book SynopsisCui bono? – Wem nutzt die Entwicklung humanoider Maschinen oder Automaten? Dieses Buch erörtert die Details dieses Spannungsfelds und die Herausforderung gesellschaftlicher Weiterentwicklung. Als technisch-elektronische Handhabungsgeräte können sie den Menschen zuträglich sein, sie von körperlich belastenden Arbeiten oder sogenannten Routinearbeiten befreien. Der Autor versucht die Fragen zu beleuchten: Was erwartet die Menschheit durch die Entwicklung einer künstlichen Intelligenz in einer menschähnlichen Maschine? Was aber, wenn der selbstbestimmende Mensch an der Schwelle steht, sich selbst durch intelligente selbstorganisierte Produkte und Prozesse eine humanoide Konkurrenz zu schaffen, die er möglicherweise nicht mehr kontrollieren kann?Table of ContentsDie Optimierung und die Gesellschaft.- Macht des kurzfristigen Genusses - Ohnmacht der nachhaltigen Veränderung.- Arbeiten und Arbeiten lassen - Arbeitskampf um die "Semantische Lücke".- Freizeitaktivität und/oder konditionierte Ertüchtigung.- Muße und Entschleunigung.
£23.74
Springer Fachmedien Wiesbaden Künstliche Intelligenz im Handel 1 – Überblick:
Book SynopsisDieses essential gibt einen Überblick über Künstliche Intelligenz im Handel und zeigt auf, wie mithilfe künstlicher Intelligenz innovative Dienste für Kunden entstehen sowie für unternehmensinterne Prozesse automatisiert werden. Es wird beschrieben, wie Unternehmen Lösungen auf der Basis von Künstlicher Intelligenz erfolgreich einführen können. Zu diesem essential gibt es einen ergänzenden Band desselben Autors mit konkreten Anwendungen aus der Praxis.Table of ContentsBedeutung und Nutzen von Künstlicher Intelligenz im Handel.- KI in Handelsprozessen.- Gesellschaftspolitische Aspekte: Haftung, Verbraucherschutz, Arbeit.- Ausblick: Artificial Retail Intelligence (ARI).
£11.77
Springer Fachmedien Wiesbaden Künstliche Intelligenz im Handel 2 – Anwendungen:
Book SynopsisDieses essential zeigt anhand konkreter Beispiele die Umsetzung und Implementierung von Künstlicher Intelligenz im Handel. Vorgestellt werden Anwendungsfelder von KI im Handel – in spezifischen Handelsprozessen von Kundenmanagement bis Controlling, in der Bedarfsplanung und Logistik, in der Preisgestaltung (Dynamic Pricing), im vollautomatisierten Store sowie Chatbots im Kundenservice zur Verbesserung der Customer Experience. Beispiele von KI-Anwendungen aus stationärem und Onlinehandel und der Mode-(Fashion)Branche.Table of ContentsAnwendungsfelder von Künstlicher Intelligenz im Handel.- KI in der Bedarfsplanung und Bestandssteuerung.- KI zur Optimierung der Logistik und Lieferkette.- KI im vollautomatisierten Store und Chatbot-Dialogsysteme.- Umsetzung und Voraussetzungen für KI.- Beispiele für Künstliche Intelligenz im Handel.
£11.77
Springer Fachmedien Wiesbaden Dialogroboter: Wie Bots und künstliche
Book SynopsisTechnologien wie künstliche Intelligenz und Natural Language Programming werden zu Auslösern der sogenannten „Dialogwende“. Darunter versteht dieses Buch die massenweise Verbreitung von autonom sprechenden Sprachdialogsystemen und automatischen Sprachassistenten. Der Autor geht der Frage nach, welche Technologien bereits zur Verfügung stehen oder bald zur Serienreife kommen. Er analysiert konkrete Verwendungen und Einsatzfelder von Bots und stellt sich die Frage, was bei der Planung und Konzeption bedacht werden muss, welche Veränderungen in Medien und Unternehmenskommunikation zu erwarten sind. Das Buch beleuchtet darüber hinaus auch die psychosozialen Folgen, die auf unsere Gesellschaft zukommen, wenn Sprachdialogsysteme in großer Zahl zum Einsatz kommen.Trade Review“... Das von Armin Sieber vorgelegte Buch beschreibt gut nachvollziehbar den Weg in diese moderne Welt des maschinengestützten Dialogs. Das Buch richtet sich mithin nicht nur an Expert_innen automatisierter Kommunikation, sondern an Medienschaffende und an Studierende und Lehrende nicht nur in der Medienwissenschaft, sondern auch innerhalb der Sozialwissenschaften.” (Claus Tully, in: MEDIENwissenschaft, Heft 4, 2019) “… Diese Inhalte vermittelt Armin Sieber auf ansprechende und interessante Weise, konzentriert auf eine weitergehende, reflektierende Einbettung eines gegenwärtigen, an pragmatischen Dialoglösungen orientierten Umsetzungswissens für die Unternehmenspraxis. Insofern kann die Lektüre der Monografie “Dialogroboter” von Armin Sieber nicht nur für Praktiker aus der Unternehmens und Medienkommunikation relevant sein, sondern auch für Studierende höherer Semester, die sich mit künftigen gesellschaftlichen Kommunikationsanwendungen beschäftigen wollen.” (Prof. Dr. Christoph Zydorek, in: Medien Wirtschaft, Jg. 16, Heft 3, 2019) Table of ContentsDie Dialogwende.- Die Digitalisierung als Treiber der Dialogwende.- Dialogsysteme im Alltag.- Conversational Design.- Psychosoziale Folgen der Dialogwende.- Postscriptum.- Konsequenzen aus der Dialogwende.
£21.84
Springer Fachmedien Wiesbaden Chatbots gestalten mit Praxisbeispielen der
Book SynopsisImmer mehr Unternehmen bauen Chatbots, damit ihre Kunden und Mitarbeiter in natürlicher Sprache mit den Systemen des Unternehmens kommunizieren können. Mittels Chatbots können dialogintensive Prozesse automatisiert und neue Wissensquellen erschlossen werden. Das vorliegende essential führt die Grundlagen von Chatbots ein und zeigt mit Praxisbeispielen der Schweizerischen Post, wo sie angewendet werden können, worauf bei ihrer Gestaltung geachtet werden muss und welche neuen Fähigkeiten in einem Unternehmen für deren Einsatz erforderlich sind.Die Autoren:Toni Stucki hat langjährige Erfahrungen als Softwarearchitekt. Bei der Schweizerischen Post leitet er ein Softwareentwicklungsteam, mit dem er bereits mehrere Chatbots implementiert hat. Dr. Sara D’Onofrio arbeitete als Innovation-Managerin bei der Schweizerischen Post und war bei der Chatbot-Entwicklung der IT Post mit dabei. In ihrer Dissertation beschäftigte sie sich mit der Thematik Chatbots. Prof. Dr. Edy Portmann ist Swiss Post Professor of Computer Science am Human-IST Institut der Universität Freiburg i.Üe., Schweiz, und beschäftigt sich mit Fragen rund um Informationssysteme, -verarbeitung und -beschaffung. Table of ContentsGrundlagen zu Chatbots.- Chatbots bei der Schweizerischen Post.- Erfahrungsberichte.
£11.77
Springer Fachmedien Wiesbaden Product Development within Artificial Intelligence, Ethics and Legal Risk: Exemplary for Safe Autonomous Vehicles
Book SynopsisThis open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch.Table of ContentsIntroduction.- Findings From Traffic Accident Analysis.- Analysis Of Poor Visibility Real-World Test Scenarios.- Technical, Legal, And Economic Risks.- Qualitative Interviews With Developers.- Consulting Concept To Develop New Systems.- Summary And Discussion.- Summary And Discussion.
£33.24
Springer Die Krawall Initiatoren: Wie KI-Systeme die
Book SynopsisEine zunehmende Polarisierung der Gesellschaft, identitäre Absolutismen, ein Neo-Feudalismus in digitalen Märkten, das Versagen unseres Bildungssystems, eine neue chinesisch-amerikanische Weltordnung und nicht zuletzt der Umgang mit dem Klimawandel: Alle großen Fragen unserer Zukunft führen früher oder später zu Künstlicher Intelligenz. Als Grund und Quelle dieser Entwicklungen. Und auch als der Schlüssel zu ihrer Lösung. Dieses Buch erklärt, wo diese Zusammenhänge liegen und wie die Wege zur Lösung aussehen müssen.Table of ContentsEinleitung: Wie KI-Systeme als „Krawall-Initiatoren“ unsere Epochenwende bestimmen.- Die Digitale Gesellschaft - Wie Künstliche Intelligenz Empörung provoziert und Emotionen mobilisiert.- Die Digitale Wissenschaft - Wie der klassische Bildungskanon und Künstliche Intelligenz den Unterschied machen.- Die Digitale Wirtschaft - Wie Künstliche Intelligenz die Märkte der Zukunft und die Zukunft des Klimas revolutioniert.- Die Digitale Machtfrage - Wie Künstliche Intelligenz über neue Weltmächte und Europas Rolle in der Welt bestimmt.- Resümee: Wie wir unsere Selbstbestimmung und Freiheit im Zeitalter der Künstlichen Intelligenz nachhaltig bewahren
£18.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Anwendungsfelder und Herausforderungen der
Book SynopsisDieses Buch gibt einen Überblick über die historische Entwicklung der Künstlichen Intelligenz und definiert die wichtigsten Begriffe. Dabei werden aktuelle Anwendungsfelder der KI ausführlich dargestellt und Chancen, Risiken und Herausforderungen dieser Entwicklung beleuchtet. Abschließend gehen die Autoren auf Fragen der digitalen Ethik ein.Table of ContentsHistorische Entwicklung der Künstlichen Intelligenz.- Wichtige Begriffe im Zusammenhang mit Künstlicher Intelligenz.- Praxisbezogene Anwendungsfelder.- Risiken der Künstlichen Intelligenz.- Herausforderungen beim Einsatz von KI.- Nutzen und Grenzen der KI am Beispiel der Corona-Pandemie.- Digitale Ethik.
£32.99
Springer Fachmedien Wiesbaden Hyperrealität und Transhumanismus: Der Mensch in
Book SynopsisDigitale Technologien sind heute ein fester Bestandteil des Alltags. Der Mensch wird zunehmend selbst zu einem Teil dieses Netzwerks aus Maschinen. Der französische Soziologe Jean Baudrillard beschreibt bereits vor mehreren Jahrzehnten eine solche Welt, in der sich Realität und Fiktion nicht länger unterscheiden lassen. Sie verschmelzen untrennbar zu einer neuen Realität, einer Hyperrealität, in der jeglicher Bezug zu den eigentlichen Phänomenen verloren gegangen ist. Der Transhumanismus hat die Verbesserung des Menschen durch Technologien im Fokus. Durch die Verbindung des biologischen Körpers mit Maschinen sollen die natürlichen Grenzen seiner physischen und mentalen Leistungsfähigkeit überwunden werden. Der Mensch soll seine Evolution aktiv gestalten, um sich letztendlich zu einem posthumanen Wesen zu entwickeln. Dieser Fortschritt erscheint nötig, um nicht durch Maschinen ersetzt zu werden. Auf den ersten Blick wirken viele Ideen zu Cyborgs und Künstlicher Intelligenz wie Science-Fiction Vorstellungen. Jean Baudrillard greift Bilder dieser Art auf und illustriert an ihnen, wie die Welt bereits ist. Eine fiktive Welt, die zur Wirklichkeit wird – Mirco Spiegel untersucht in diesem Buch, ob Visionen des Transhumanismus ein Teil davon sind.Table of ContentsEinleitung.- Das Forschungsfeld des Transhumanismus.- Jean Baudrillard.- Aktuelle Technologien.- Baudrillard und der Transhumanismus.- Literaturverzeichnis.
£42.74
Springer Fachmedien Wiesbaden Internet-Modellierung mit Julia: Modelle,
Book SynopsisDas Buch verbindet die Internetmodellierung mit der neuen Programmiersprache Julia. Die Eignung von Julia für die Modellierung sowohl etablierter Internet-Modelle als auch für forschungsnahe Themen wie die Car-to-Infrastructure-Kommunikation und von Blackbox-Modellen für Lastprognosen mit neuronalen Netzen wird vermittelt. Nach dem Studium des Buches und den Anregungen für weitere selbständige Analysen ist der Leser in der Lage, auch komplexere Modellierungsaufgaben in Forschung und Entwicklung mit Julia zu bearbeiten.Table of ContentsEinleitung.- Leistungsparameter, Optimierung Ressourceneinsatz.- Modellmodule.- Lastgeneratoren.- Bedienmodule.- Simulation von Bediensystemen.- Simulationsbasierte Optimierung mit KI.
£26.59
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Künstliche Intelligenz und Machine Learning mit
Book SynopsisIn einer VUCA-Welt, die sich als immer unbeständiger, unsicherer und komplexer erweist, gilt es für Unternehmen, Organisation und Staaten zeitnah und adäquat auf die jeweiligen Situationen zu reagieren. Entscheidungen basierend auf in der Vergangenheit gemachten Erfahrungen zu treffen ist in diesen Zeiten weniger erfolgreich als ein akkurates Verständnis der gegenwärtigen Bedingungen. Die Bedeutung von empirischen Wissenschaften, das permanente Beobachten der Umwelt, die zeitnahe Analyse von Wirkungszusammenhängen und das daraus abgeleitete Gewinnen neuer Erkenntnissen, nimmt zu. Daraus lässt sich ableiten, welche Maßnahmen mit einer vorhersagbaren Wahrscheinlichkeit zur Erreichung der eigenen Ziele geeignet sind, z.B. welcher Preis für ein Angebot die gewünschte Nachfrage erzeugt oder welche Marketingmaßnahme eine gewünschte Zielgruppe erreicht.Wo früher klassische Statistik für Berechnungen und Vorhersagen herangezogen wurde, da erlauben heute kostenlose (Open Source) Werkzeuge wie R Daten in unterschiedlichsten Formaten und aus beliebig vielen Quellen für die Analyse einzulesen, aufzubereiten und mit Hilfe von Methoden der Künstlichen Intelligenz und des Machine Learning zu analysieren. Die Ergebnisse können dann anschließend perfekt visuell dargestellt werden, so dass die Entscheider schnell und effektiv davon profitieren können.Das Zeitalter von Data Science ist erreicht. Digitalisierung ist mehr als ein Schlagwort oder ein Versprechen, es ist für jeden umsetzbar und nutzbar.Dieses Buch vermittelt Ihnen auf Basis der zum Zeitpunkt der Publikation aktuellsten Version von R, wie Sie Künstliche Intelligenz und Machine Learning in der Industrie 4.0 nutzen können.Table of ContentsNutzen von Machine Learning und Künstlicher Intelligenz.- Machine Learning.- Best Practices.- Einrichtung der Entwicklungsumgebung von R.- Grundlagen der Programmiersprache R.- des Machine Learning mit R.- Anwendung von Machine Learning mit R.- Ausblik.
£36.09
Springer Vieweg Nachhaltige Künstliche Intelligenz
£26.59
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Springer Handbook of Computational Intelligence
Book SynopsisThe 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.Trade Review“This is not just a hand book but an encyclopedia/reference tool for computer scientists, engineers (bio, neuro, electric), and physicists dealing with complex mathematical problems. It describes the basic principles, theories, and historical development of Logic, computational sciences, EE, and neurophysiological background for modeling.” (Joseph J. Grenier, Amazon.com, April, 2016)Table of ContentsMany-Valued and Fuzzy Logics.- Possibility Theory and its Applications: Where Do we Stand?.- Aggregation Functions on [0; 1].- Monotone Measures-Based Integrals.- The Origin of Fuzzy Extensions.- From Type-2 Fuzzy Sets to Atanassov’s Intuitionistic Fuzzy Sets.- F-Transform.- Fuzzy Linear Programming and Duality.- Basic Solutions of Fuzzy Coalitional Games.- Basics of Fuzzy Sets.- Fuzzy Relations: Past, Present and Future.- Fuzzy Implications.- Fuzzy Rule Based Systems.- Interpretability of Fuzzy Systems.- Fuzzy Clustering.- An Algebraic Model of Reasoning to Support Zadeh’s CwW.- Fuzzy Control.- Interval Type-2 Fuzzy PID Controllers.- Soft Computing in Database and Information Management.- Application of Fuzzy Techniques to Autonomous Robots.- Foundations of Rough Sets.- Rough Set Methodology for Decision Aiding.- Rule Induction from Rough Approximations.- Probabilistic Rough Sets.- Generalized Rough Sets.- Fuzzy-Rough Hybridization.- Artificial Neural Network Models .- Deep and Modular Neural Networks.- Machine Learning.- Theoretical Methods in Machine Learning.- Probabilistic Modeling in Machine Learning.- Kernel Methods.- Neurodynamics .- Computational Neuroscience - Biophysical Modeling of Neural Systems .- Computational Models of Cognitive and Motor Control.- Cognitive Architectures and Agents.- Embodied Intelligence.- Neuromorphic Engineering.- Neuroengineering -- Sensorimotor-Computer Interfaces.- Evolving Connectionist Systems .- Machine Learning Applications.- Genetic Algorithms.- Genetic Programming.- Evolution Strategies.- Distribution Algorithms.- Parallel Evolutionary Algorithms.- Learning Classifier Systems.- Indicator-Based Selection.- Multiobjective Evolutionary Algorithms.- Parallel Multiobjective Evolutionary Algorithms.- Many-objective Problems: Challenges and Methods.- Memetic and Hybrid Evolutionary Algorithms.- Design of Representations and Search Operators.- Stochastic Local Search Algorithms.- Parallel Evolutionary Combinatorial Optimization.- How to Create Generalizable Results.- Computational Intelligence in Industrial Applications.- Solving Phase Equilibrium Problems.- Optimization of Machining Problems.- Physics-Based Surrogate Modelling in Evolutionary Optimization for Aerodynamic Design.- Evolutionary Combinatorial Optimization for Knowledge Discovery in Bioinformatics .- Integration of Metaheuristics and Constraint Programming.- Assessing the Effects of Recombination with the Graph Coloring Problem.- Metaheuristic Algorithms and Tree Decomposition.- Evolutionary Computation and Constraint Satisfaction.- Swarm Intelligence in Optimization and Robotics.- Preference-Based Multiobjective Particle Swarm Optimization.- Ant Colony Optimization for the Minimum-Weight Rooted Arborescence Problem.- Intelligent Swarm of Markovian Agents.- Honey Bee Social Foraging Algorithm.- Fundamental Collective Behaviors in Swarm Robotics.- Collective Manipulation and Construction.- Reconfigurable Robots.- Probabilistic Modeling of Swarming Systems.- Robust Evolving Cloud-Based Controller.- Evolving Embedded Fuzzy Controllers.- Multiobjective Genetic Fuzzy Systems.- Bio-Inspired Optimization.- Pattern Recognition with Modular Neural Networks.- Optimization of Interval Fuzzy Controllers for Autonomous Mobile Robots.- Implementation of Bio-Inspired Optimization Methods on Graphic Processing Units.- Acknowledgements.- About the Authors.- Subject Index.
£251.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Einführung in Operations Research
Book SynopsisDidaktisch effektives und effizientes Standardwerk in der 9. Auflage: Dieses Buch entstand aus Vorlesungen zur Einführung in Operations Research (OR) für Studierende der Betriebs- und Volkswirtschaftslehre, des Wirtschaftsingenieurwesens, der Wirtschaftsinformatik und der Wirtschaftsmathematik. Es zeichnet sich, in der Vermittlung der Grundlagen des OR, durch eine gelungene didaktische Aufbereitung des Stoffes aus und ist auch zum Selbststudium geeignet. Die Autoren beschreiben Verfahren algorithmisch und verdeutlichen sie anhand von aussagekräftigen Beispielen. Der Text behandelt lineare, ganzzahlige und kombinatorische, dynamische sowie nichtlineare Optimierung, Graphen- und Warteschlangentheorie, Netzplantechnik und Simulation. Das Schlusskapitel vermittelt die Lösung von OR-Problemen mittels Tabellenkalkulationssoftware. Zur Vertiefung und Anwendung der vorgestellten Methoden wird das Buch "Übungen und Fallbeispiele zum Operations Research" derselben Autoren empfohlen. Es enthält eine große Anzahl an Übungsaufgaben und eine Einführung in die Optimierung mit Standardsoftware.Table of ContentsVorwörter.- Kapitel 1: Einführung.- Kapitel 2: Lineare Optimierung.- Kapitel 3: Graphentheorie.- Kapitel 4: Lineare Optimierungsprobleme mit spezieller Struktur.- Kapitel 5: Netzplantechnik und Projektmanagement.- Kapitel 6: Ganzzahlige und kombinatorische Optimierung.- Kapitel 7: Dynamische Optimierung.- Kapitel 8: Nichtlineare Optimierung.- Kapitel 9: Warteschlangentheorie.- Kapitel 10: Simulation.- Kapitel 11: OR mittels Tabellenkalkulation.- Literaturverzeichnis.- Sachverzeichnis.
£26.59
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Computer: Wie funktionieren Smartphone, Tablet &
Book SynopsisComputer umgeben uns heute in fast allen Lebensbereichen. Sie erleichtern uns nicht nur als PC oder Laptop die Arbeit, sondern sind auch eingebettet in zahlreiche Objekte unseres täglichen Lebens – vom Auto bis zur Waschmaschine. Doch wie funktionieren moderne Rechner eigentlich? Und wie werden diese hochkomplexen, aus Milliarden Komponenten bestehenden Geräte entworfen?Das Buch erklärt auf verständliche, informative und unterhaltsame Weise den Aufbau und die Funktionsweise heutiger Computersysteme. Einzelne inhaltliche Abschnitte werden durch Links zu Videos ergänzt, in denen Professor Rolf Drechsler relevante Themen prägnant und pointiert vorstellt. Trade Review“... Neben vielen hübschen Illustrationen (sie dienen mehr der Auflockerung als der Erklärung) gibt es unter dem Stichwort „Ein Klick ins Netz“ die eine oder andere Internet-Adresse inklusive QR-Code, unter denen erläuternde Videos zu finden sind. Am Ende jedes Kapitels bietet eine Literaturliste mehr Lesestoff zum jeweiligen Thema. ... ist unterhaltsam, leicht zu lesen und vor allem für interessierte Laien und Neulinge in Sachen „Computer“ sehr verständlich ...” (Buchrezicenter.de, 2018)“... Neben dem beschreibenden Text gibt es Skizzen, Zeichnungen, Zusammenfassungen, Literaturhinweise und QR-Codes zu Youtube-Videos der Autoren. Dies macht den Band beinahe interaktiv und multimedial - ein didaktisch sehr durchdachtes, verständliches Werk ...” (Jürgen Scharberth, in: Spektrum der Wissenschaft, Heft 7, 2017)Table of ContentsAlles ist logisch.- Die Hardware.- 0 und 1 ist nicht genug.- Von der (Rechen-)Aufgabe zum Schaltplan.- Wie sage ich es meinem Computer?.- Der Rechnerarchitekt.- Wohin die Reise geht: aktuelle Entwicklungen und visionäre Konzepte.- Zu guter Letzt.
£17.09
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Separated and Vortical Flow in Aircraft Wing Aerodynamics: Basic Principles and Unit Problems
Book SynopsisFluid mechanical aspects of separated and vortical flow in aircraft wing aerodynamics are treated. The focus is on two wing classes: (1) large aspect-ratio wings and (2) small aspect-ratio delta-type wings. Aerodynamic design issues in general are not dealt with. Discrete numerical simulation methods play a progressively larger role in aircraft design and development. Accordingly, in the introduction to the book the different mathematical models are considered, which underlie the aerodynamic computation methods (panel methods, RANS and scale-resolving methods). Special methods are the Euler methods, which as rather inexpensive methods embrace compressibility effects and also permit to describe lifting-wing flow. The concept of the kinematically active and inactive vorticity content of shear layers gives insight into many flow phenomena, but also, with the second break of symmetry---the first one is due to the Kutta condition---an explanation of lifting-wing flow fields. The prerequisite is an extended definition of separation: “flow-off separation” at sharp trailing edges of class (1) wings and at sharp leading edges of class (2) wings. The vorticity-content concept, with a compatibility condition for flow-off separation at sharp edges, permits to understand the properties of the evolving trailing vortex layer and the resulting pair of trailing vortices of class (1) wings. The concept also shows that Euler methods at sharp delta or strake leading edges of class (2) wings can give reliable results. Three main topics are treated: 1) Basic Principles are considered first: boundary-layer flow, vortex theory, the vorticity content of shear layers, Euler solutions for lifting wings, the Kutta condition in reality and the topology of skin-friction and velocity fields. 2) Unit Problems treat isolated flow phenomena of the two wing classes. Capabilities of panel and Euler methods are investigated. One Unit Problem is the flow past the wing of the NASA Common Research Model. Other Unit Problems concern the lee-side vortex system appearing at the Vortex-Flow Experiment 1 and 2 sharp- and blunt-edged delta configurations, at a delta wing with partly round leading edges, and also at the Blunt Delta Wing at hypersonic speed. 3) Selected Flow Problems of the two wing classes. In short sections practical design problems are discussed. The treatment of flow past fuselages, although desirable, was not possible in the frame of this book.Table of ContentsIntroduction.- Separation: Some Relevant Boundary-Layer Properties, Interaction Issues, and Drag.- Elements of Vortex Theory.- The Local Vorticity Content of a Shear Layer.- The Matter of Discrete Euler Solutions for Lifting Wings.- About the Kutta Condition.- Topology of Skin-Friction and Velocity Fields.- Large Aspect-Ratio Wing Flow.- Particular Flow Problems of Large Aspect-Ratio Wings.- Small Aspect-Ratio Delta-Type Wing Flow.- Selected Flow Problems of Small Aspect-Ratio Delta-Type Wings.- Solutions of the Problems.
£132.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Datenreiche Medizin und das Problem der
Book SynopsisDieses Open Access Buch befasst sich mit praktischen Fragestellungen datenreicher internationaler Verbund-Forschung. Die datenreiche Medizin spielt in Diagnostik und Therapie eine immer größere Rolle – gerade angesichts immer leistungsfähigerer algorithmischer Mustererkennung. Mithilfe wachsender Datenbestände sind diese Algorithmen zunehmend in der Lage, Krankheitssymptome zu erkennen, diese mit anderen Daten in Beziehung zu setzen und so entweder bei der Suche nach Krankheitsursachen zu helfen oder Therapien zu optimieren. Vor dem Hintergrund dieser Entwicklungen vereint der Sammelband multidisziplinäre Perspektiven auf die datengetriebene medizinische Forschung mit besonderem Blick auf die Frage der Einwilligung in die Sekundärnutzung medizinischer Daten. Dabei werden zum einen ethische Überlegungen in den Bereichen Patientenautonomie und -wohlergehen, Privatheit und Datensicherheit, sowie Verantwortungsdiffusion aufgeworfen, als auch konkrete rechtliche Fragen hinsichtlich der DSGVO-Konformität erörtert. Sozialwissenschaftliche Studien zur Art und Form der Einwilligung sowie dem Patientenverhalten runden den Band ab.Table of ContentsEthische Fragestellungen.- Rechtliche Aspekte.- Sozialwissenschaftliche Perspektiven.
£33.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Methods and Applications of Algorithmic Complexity: Beyond Statistical Lossless Compression
Book SynopsisThis book explores a different pragmatic approach to algorithmic complexity rooted or motivated by the theoretical foundations of algorithmic probability and explores the relaxation of necessary and sufficient conditions in the pursuit of numerical applicability, with some of these approaches entailing greater risks than others in exchange for greater relevance and applicability. Some established and also novel techniques in the field of applications of algorithmic (Kolmogorov) complexity currently coexist for the first time, ranging from the dominant ones based upon popular statistical lossless compression algorithms (such as LZW) to newer approaches that advance, complement, and also pose their own limitations. Evidence suggesting that these different methods complement each other for different regimes is presented, and despite their many challenges, some of these methods are better grounded in or motivated by the principles of algorithmic information. The authors propose that the field can make greater contributions to science, causation, scientific discovery, networks, and cognition, to mention a few among many fields, instead of remaining either as a technical curiosity of mathematical interest only or as a statistical tool when collapsed into an application of popular lossless compression algorithms. This book goes, thus, beyond popular statistical lossless compression and introduces a different methodological approach to dealing with algorithmic complexity. For example, graph theory and network science are classic subjects in mathematics widely investigated in the twentieth century, transforming research in many fields of science from economy to medicine. However, it has become increasingly clear that the challenge of analyzing these networks cannot be addressed by tools relying solely on statistical methods. Therefore, model-driven approaches are needed. Recent advances in network science suggest that algorithmic information theory could play an increasingly important role in breaking those limits imposed by traditional statistical analysis (entropy or statistical compression) in modeling evolving complex networks or interacting networks. Further progress on this front calls for new techniques for an improved mechanistic understanding of complex systems, thereby calling out for increased interaction between systems science, network theory, and algorithmic information theory, to which this book contributes. Trade Review“The book starts practically from scratch: It defines Turing machines, Kolmogorov complexity, etc. So this book can be recommended not only to researchers in this area, but also to students and to researchers from other areas interested in complexity issues.” (Vladik Ya. Kreinovich, zbMATH 1497.68008, 2022)Table of ContentsPreliminaries.- Enumerating and simulating Turing machines.- The Coding Theorem Method.- Theoretical aspects of finite approximations to Levin’s semi-measure.
£132.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Transactions on Large-Scale Data- and
Book SynopsisThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, contains six fully revised selected regular papers. Topics covered include time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in a taxonomy, linked data semantic distance, linguistics-informed natural language processing, graph neural network, protected features, imbalanced data, causal consistency in distributed databases, actor model, and elastic horizontal scalability.Table of ContentsModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud.- Variable-Size Segmentation for Time Series Representation.- Semantic Similarity in a Taxonomy by Evaluating the Relatedness of Concept Senses with the Linked Data Semantic Distance.- Constituency-informed and Constituency-constrained Extractive Question Answering with Heterogeneous Graph Transformer.- FAPFID: A Fairness-aware Approach for Protected Features and Imbalanced Data.- D-Thespis: A Distributed Actor-Based Causally Consistent DBMS.
£71.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Digital Management Practice: Mastering
Book SynopsisThe book illustrates how managers and knowledge workers can effectively harness collective and artificial intelligence to counteract the effects of exponential change and successfully implement digitization within their organizations. The author applies the proven management principles of Peter F. Drucker to the new challenges of the digital age, enhancing them with the concepts of collective and artificial intelligence. This approach also takes into account the insights of Daniel Kahneman regarding "Thinking, Fast and Slow" and the associated cognitive biases and deficits in human thinking. By leveraging innovative tools – collective and artificial intelligence – these deficits can be mitigated, aiding in decision-making. The use of these tools in innovation management and work organization is also discussed. Readers are provided with practical tips and strategies for implementation. Embark on an exciting journey through digital management practices and successfully navigate the challenges of the digital world.Table of Contents1. Introduction.- Part 1: Digitalisation and Exponential Change.- 2. The Digitalisation.- 3. The Knowledge Worker.- 4.- The Manager.- 5. The Company.- Part 2: Collective Intelligence as a System 3.- 6. Presentation Of System 3 - The Concept of Collective Intelligence.- 7. Benefits of System 3 - The Collective Intelligence.- 8. Concrete Application of System 3 - The Collective Intelligence.- Part 3: Artificial Intelligence as a System 4.- 9. Presentation of System 4 - The Concept of Artificial Intelligence.- 10. Benefits Of System 4 - Artificial Intelligence.- 11. Concrete Application Of System 4 - Artificial Intelligence.- 12. Conclusion and Recommendations for Action.- 13. Practical Examples of AI Tools and Further Literature.
£26.99
Springer Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track
£61.74
Springer Fachmedien Wiesbaden Handbuch Industrieroboter: Bauweise ·
Book SynopsisIndustrieroboter sind universelle Handhabungsgeräte mit mehreren Freiheitsgraden, die freiprogrammierbar und damit leicht umrüstbar sind. Ihre Entwicklung wurde vornehmlich durch zwei Tendenzen begleitet und geprägt: Da ist einmal die Notwendigkeit, in der Fertigung eine immer größere Anzahl kleiner werdender Losgrößen auch in der Handhabungstechnik zu automatisieren. Da ist zum anderen der ungeheuere Fortschritt in der elektronischen Steuerungstechnik, der zu erhöhter Flexibilität und besserer technischer Ausstattung der Industrieroboter führte. Eine Fülle von Veröffentlichungen befaßt sich mit allen Einzelheiten über Industrieroboter. Das "Handbuch Industrieroboter" versucht dem an der Praxis orientierten Anwender diese neue Technologie aus neutraler Sicht in einem möglichst umfassenden Stand zu umreißen. Das kann, unter Voraussetzung eines vernünftigen Umfanges für dieses Buch, nur durch viele Abbildungen, knappem Text, Tabellen und Übersichten sowie durch Beschränkung auf die Anwendungsorientiertheit geschehen. Aus diesem Grunde wurden bewußt beim Datenteil nur Industrieroboter aufgenommen, die vornehmlich in Deutschland vertrieben werden. Nach Erörterung von Gründen für die Automatisierung mit Industrierobotern, befaßt sich das Buch mit Vor- und Nachteilen der unterschiedlichen Bauteile und Bauweisen dieser Geräte. Daran anschließend folgen Anwendungsfälle aus der Praxis. Nach Programmierung und Einsatzplanung von diesen freiprogrammierbaren Handhabungsautomaten, wird schließ lich an zwei konkreten Fallstudien ein Wirtschaftlichkeitsvergleich auf der elektronischen Datenverarbeitung durchgeführt. Zukünftigen Entwicklungen wird nur ein kurzer Ausblick gewährt. Dafür schließen umfang reiche Tabellen und Abbildungen von maßstäblichen Arbeitsräumen aller gebräuchlichen Geräte das Buch ab.Table of Contents1 Definitionen.- 2 Gründe für den Einsatz von Industrierobotern.- 3 Aufbau von Industrierobotern.- 4 Anwendung freiprogrammierbarer Manipulatoren.- 5 Programmierung von Industrierobotern.- 6 Erfahrungen bei der Einführung und dem Einsatz von Industrierobotern.- 7 Wirtschaftlichkeitsvergleich mittels EDVA.- 8 Ausblick.- 9 Anhang.- Firmenunterlagen.- Sachwortverzeichnis.
£62.99
Spektrum Akademischer Verlag Menschen, Tiere und Max: Natürliche Kommunikation
Book SynopsisVorwort.- 1 Worum geht es in diesem Buch?- 2 Roboter und virtuelle Wesen.- 3 Ausdruck in Gesicht und Stimme.- 4 In der virtuellen Werkstatt.- 5 Wie erzeugt man ausdrucksvolle Sprache?- 6 Gesten bei Tieren und Kindern.- 7 Mimik in Aktion.- 8 Kommunikative Rhythmen.- 9 Wörter und Sätze.- 10 Dem Denken auf der Spur.- 11 Wie versteht man Sprache?- 12 Zeichen und Gebärden.- 13 Der Körper spricht mit.- 14 Mit Gesten sprechen.- 15 Kommunikation zwischen Mensch und Tier.- 16. Ich, Max.- 17 Das Natürliche und das Künstliche.- 18 Epilog 2030.
£17.39
Leiden University Press Towards a Data-driven Military: A
Book Synopsis
£92.25
IAEA Artificial Intelligence for Accelerating Nuclear
Book SynopsisArtificial intelligence (AI) methods have had significant impacts in science and technology in recent years. These methods for generating models from datasets or logic-based algorithms that emulate aspects of human performance can similarly accelerate the fields of nuclear applications, science, and technology toward the IAEA goals of contributing to peace, health, and prosperity. This publication provides a review of the current state of the art, outlines challenges and identifies priorities for future AI activities in the nuclear field and the IAEA's role to support their accomplishment. The uses of AI in the fields of nuclear sciences and applications, nuclear power, nuclear safety and security and safeguards verification, are considered. There is also a dedicated chapter on ethics pertinent to AI in the nuclear field.
£19.90
Springer Verlag, Singapore Data Science and Big Data Analytics: ACM-WIR 2018
Book SynopsisThis book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.Table of ContentsA Study of the Correlation between Internet Addiction and Aggressive Behavior Among the Namibian University Students An efficient model for outlier detection in time series dataset using clustering approach Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR E-ALIVE: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care An Effective TCP’s Congestion Control Approach for Cross Layer Design in MANET A Study on Applying Agile Methodology to Manufacturing Industry Cloud Applications Baron-Cohen Model based Personality Classification using Ensemble Learning Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs Review on Internet Traffic Sharing using Markov Chain Model in Computer Network Protein Sequence of Dengue Virus Classification and Secondary Structure Prediction using Random Forest Classifier Anomaly detection using Dynamic Sliding Window in Wireless Body Area Networks Scalable Privacy preservation in Big Data with Cloud Service Access Effective Healthcare Services by IoT based Model of Voluntary Doctors Multi Layer Architectures for SQLI Detection and Prevention in Web Application Development Emotional State Recognition with EEG signals using Subject Independent Approach Development of Early Prediction Model for Epileptic Seizures Research Issue in data Anonymization in Electronic Health Service: A survey Prediction of Cervical Cancer based on the life style, habits and diseases using Regression Analysis framework Novel outlier detection by integration of clustering and classification A Study on Benefits of Big Data for Retail Industry Protection of User Information by using Modified Data Copy Technique in Data Mining Performance Analysis of Traffic at Intersection using Direction Based Clustering in VANET Load Balancing using Amazon Cloud Services A Review of Wireless Charging Nodes in Wireless Sensor Networks Leeway of Lean concept to optimize Bigdata in manufacturing industry: An exploratory review NeuroFeedback Guided Learning Style Adaptability Derived from EEG Sensors Monitoring Public Participation in Multi-Lateral Initiatives using Social Media Intelligence An efficient Context-aware Music Recommendation based on Emotion and Time Context Locating and Detecting Nipple for Pornographic Image Identification Implementation of Improved Energy Efficient FIR Filter using Reversible Logic A Study on benefits of Big data for healthcare sector of India Handling Uncertainty in Linguistics using Probability Theory Review of Quality of Service based Techniques in Cloud Computing Skyline Computation for Big Data Available Energy Aware Multipath Routing For Reliable Service Discovery in MANET Human Face Detection Enabled Smart Stick for Visually Impaired People Web Based Service Recommendation System by Considering User Requirements Optimal Energy Conservation for Route Selection to improve in MANET Unsupervised Machine Learning for Clustering the Infected Leaves based on the Leaf-colours Real Time Big Data Analysis Architecture and Application Missing Value Imputation in Medical Records for Remote Healthcare Reliable Data Discovery with Two Ray Ground Way on DSR Routing in MANET Secure vehicular communication using Road side unit (RSU) trust management scheme Recommendation Framework for Diet and Exercise based on Clinical Data: A Systematic Review Predictive Models for Recommanding Restaurent System by users own Preference Security Assessment of SAODV Protocols in Mobile Adhoc Networks Attack Detection and its Analysis in DTN Mobile Ad-hoc network Secure Sum Computation using Homomorphic Encryption Traffic Analysis in Location Base Routing System in MANET Automated Workload management using machine learning A survey on Link Recovery in Wireless Mesh Network using resilience scheme Multi User Detection in Wireless Networks Using Decision Feedback Signal Cancellation ANN Based Predictive State Modelling of Finite State Machines Deep dive exploration of mixed reality in the world of Big Data
£116.99
Springer Verlag, Singapore Compact and Fast Machine Learning Accelerator for
Book SynopsisThis book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.Table of ContentsComputing on Edge Devices in Internet-of-things (IoT).- The Rise of Machine Learning in IoT system.- Least-squares-solver for Shadow Neural Network.- Tensor-solver for Deep Neural Network.- Distributed-solver for Networked Neural Network.- Conclusion.
£98.99
Springer Verlag, Singapore Artificial Intelligence and Machine Learning in Healthcare
Book SynopsisThis book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.Table of ContentsChapter 1_Big Data Analytics and AI for Healthcare.- Chapter 2_Genetics with Big Data and AI.- Chapter 3_AI and Big Data for next-generation sequencing.- Chapter 4_Artificial Intelligence for Computational Biology.- Chapter 5_Artificial intelligence and machine learning in clinical development.- Chapter 6_Big data analytics for personalized medicine.- Chapter 7_Generating and Managing Healthcare data with AI.- Chapter 8_Big Data and Artificial Intelligence for diseases.- Chapter 9_Artificial Intelligence and Big Data for Public Health.- Chapter 10_Biasness in Healthcare Big Data and Computational Algorithms.- Chapter 11_AI and ML in Healthcare: An Ethical perspective.
£113.99
Springer Verlag, Singapore Computer Networks, Big Data and IoT: Proceedings
Book SynopsisThis book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.Table of ContentsMaximizing Network Lifetime in WSN using Ant Colony Algorithm.- Deep Ensemble Approach for Question Answer System.- Information Sharing Over Social Media Analysis Using Centrality Measure.- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network.- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network.- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image.- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm.- Sentimental Analysis on Twitter Data of Political Domain.- Big Social Media Analytics: Applications and Challenges.- Intelligent Computing Application for Cloud Enhancing Health Care Services.- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques.- Security Issues and Solutions in E-Health and Telemedicine.- Accident Alert System with False Alarm Switch.- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows.- Algorithmic Trading using Machine Learning and Neural Network.- Analysis on Intrusion Detection System using Machine Learning Techniques.- Content Related Feature Analysis for Fake Online Consumer Review Detection.- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired.- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies.- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data.- Integration of IoT and SDN to Mitigate DDoS with RYU Controller.- A Framework for monitoring Patient’s Vital Signs with Internet-of-Things and Blockchain Technology.- Network Intrusion Detection using Cross Bagging based Stacking Model.- Performance Study of Free Space Optical System under Varied Atmospheric Conditions.- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks.- Automatic Vehicle Service Monitoring and Tracking System using IoT and Machine Learning.
£224.99
Springer Verlag, Singapore Communication and Intelligent Systems:
Book SynopsisThis book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26–27 December 2020. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.Table of ContentsNeural Network Imitation Model of Realization of the Business Analysis Process.- Thermal Modeling of the GaN HEMT device Using Decision Tree Machine Learning Technique.- Low-cost FPGA based onboard computer.- A Survey on Solution of Imbalanced Data Classification Problem using SMOTE and Extreme Learning Machine.- Thermal Imaging Assisted Infection Classification (BoF) for Brinjal Crop.- Preterm Delivery Prediction Using Gradient Boosting Algorithms.
£161.99
Springer Verlag, Singapore Artificial Intelligence and Sustainable
Book SynopsisThis book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.Table of ContentsControl of On-Board Electric Vehicle Charger.- NSGA III based Time-Cost-Environmental Impact Trade-Off Optimization model for Construction Projects.- Wideband Microstrip Stepped Two-Way Power Divider for 3G/4G Applications.- Simulated Annealing Based Time-Cost Trade-Off Model For Construction Projects.- AHP and NSGA II based Time-Cost-Quality Trade-Off Optimization model for Construction Projects.- A Wavelet Based Segmentation Technique For Medical Images.
£161.99
Springer Verlag, Singapore Sixth International Conference on Intelligent
Book SynopsisThis book presents the peer-reviewed proceedings of the Sixth International Conference on Intelligent Computing and Applications (ICICA 2020), held at Government College of Engineering, Keonjhar, Odisha, India, during December 22–24, 2020. The book includes the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.Table of ContentsClosed Loop Vision Based Ball Balancer.- A Novel Network Learning For Image Compressive Sensing.- COVID – 19 Severıty Predıctıons: An Analysis Usıng Correlatıon Measures.- A Novel Methodology for Comparative Analysis of Power Quality Improvement for a 3 Phase DC/AC Embedded DC/DC Converter.- Performance of Photovoltaic based ZETA Converter Water Pumping Application.- Performance Analysis of Radial Distribution System by Optimal Deployment of DG and DSTATCOM Considering Network Reconfiguration using a SAR Algorithm.
£161.99
Springer Verlag, Singapore Emerging Research in Computing, Information,
Book SynopsisThis book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike. Table of ContentsDesign of a Secure Blockchain Based Privacy Preserving Electronic Voting System.- A Nature Inspired Algorithm for Enhancement of Fused MRI and CT Brain Images.- Recent Advances and Future Directions of Assistive Technologies for Alzheimer’s Patients.- Research on Security awareness to protect data through Ontology and Cloud Computing.- Driver Activity Monitoring using MobileNets.- Prediction of Crop Production using Analysis Algorithms.- A Deep Learning Approach for Speedbumpand Pothole Detection using sensordata.- Decision Tree based Crop Yield Prediction using Agro-Climatic parameters.- Regression based Data pre-processing technique for predicting missing values.- An Improved Stacked Sparse Auto-encoder Method for Network Intrusion Detection.
£151.99
Springer Verlag, Singapore Emerging Research in Computing, Information,
Book SynopsisThis book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike. Table of ContentsImage Captioning for the Visually Impaired.-IoT-based Water Quality Analysis and Purification System.- Enhancement of Low Light Images Using CNN.- Identical Twin Face Recognition Using Gabor Filter, SVM Classifier and Surf Algorithm.- Modelling and prediction of cardiac dysrhythmia.- Lung Cancer Detection and Prediction using Customized Selective Segmentation Technique with SVM Classifier.- Design and Implementation of Storage Benchmark Kit.- Adaptive calibration for camera and stitching of images.- Data mining techniques in the agricultural sector.- Design Of A Simplified ANNModelFor Real Power Prediction Problem.- Design and implementation of power efficient and fast full adders using hybrid logics.
£143.99
Springer Verlag, Singapore Soft Computing: Theories and Applications:
Book SynopsisThis book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.Table of ContentsDetection of Denial of Service Attack using Deep Learning and Genetic Algorithm.- Fake Profile Detection and Stalking Prediction on Facebook.- Moving skills- a contributing factor in developmental delay.- Wind speed forecasting for India using machine learning algorithms.- A Comparative Study of Supervised Learning Techniques for Remote Sensing Image Classification.- Postal Service Shop Floor - Facility Layout Evaluation and Selection using Fuzzy AHP Method.
£179.99
Springer Verlag, Singapore Mobile Computing and Sustainable Informatics:
Book SynopsisThis book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.Table of ContentsChapter 1. Mitigating the Latency Induced Delay in IP Telephony through an Enhanced De-Jitter Buffer.- Chapter 2. A Cyber – Safety IoT Enabled Wearable Microstrip Antenna for X – Band applications.- Chapter 3. Keyword Recognition from EEG Signals on Smart Devices a Novel Approach.- Chapter 4. Security Analysis for Sybil Attack in Sensor Network using Compare and Match-Position Verification Method.- Chapter 5. Certain Strategic Study on Machine Learning based Graph Anomaly Detection.- Chapter 6. Machine Learning Perspective in VLSI Computer Aided Design at Different Abstraction Levels.- Chapter 7. A Practical Approach to Measure Data Center Efficiency using Power Usage Effectiveness.- Chapter 8. Advancing e-Government using Internet of Things.- Chapter 9. A New Network Forensic Investigation Process Model.- Chapter 10. MDTA : A New Approach of Supervised Machine Learning for Android Malware Detection And Threat Attribution using Behavioral Reports.- Chapter 11. Investigating the role of user Experience and Design in Recommender Systems: A Pragmatic Review.- Chapter 12. A Review on Intrusion Detection Approaches in Resource Constrained IoT Environment.- Chapter 13. The Future 5G Mobile Network Performance in Webservices with NDN Technology.- Chapter 14. Survey for Electroencephalography EEG signals Classification Approaches.- Chapter 15. Analysis of Road Accidents using Data Mining Paradigm.
£189.99
Springer Verlag, Singapore Proceedings of the 2nd International Conference
Book SynopsisThis book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.Table of ContentsImplementation of Healthcare System using Android Application Storing Health Records in Cloud.- Threshold and Segmentation based X-ray Imaging analysis for Covid-19 Detection.- Feature Based Squids Classification using Fuzzy Logic.- Comparative Analysis on Factors Affecting Accuracy of Seizure detection using EEG Signal Processing.- Predictive Analysis of damage occurred due to Natural Disasters using Whale-Optimization algorithm based Hybrid Computation.- Remote Access for Advanced Mobile Communication Systems.- A Study to assess the knowledge and opinion of Mid- Level Health Providers of Chittoor District regarding m-health.- Machine Learning Techniques for Identifying Diabetes and its Complications based on long non-coding RNAs.- Performance Comparison of semantic web data using virtual and cloud services.- Present and future prospective of Microbial Fibrinolytic Enzyme Production and its Applications.- Molecular docking of Bacterial laccases for the decolourisation of Textile Reactive Azo dyes.- Enhancing the Structure of Cyber Risks in Cloud Environment using Cloud Forensics Technique.- Application of Artificial Intelligence in Public Health Care in India.- An Adaptive Channel Assignment Strategy for Multi-Radio Multi-Channel Wireless Mesh Networks with Mobile Nodes Based on Internet Traffic.- Multi-Standard Schema Based Classification of Geospatial Metadata in Spatial Data Infrastructures using Feature Weight Induced Probabilistic Learning Scheme.- Text Summarization of Multiple Documents using Binary Fruit Fly Optimization Algorithm.
£179.99
Springer Verlag, Singapore Applied Information Processing Systems:
Book SynopsisThis book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.Table of ContentsChapter 1. CNN parameter adjustment for brain tumor classification.- Chapter 2. Advance Fuzzy Radial Basis Function Neural Network.- Chapter 3. Unbounded Fuzzy Radial Basis Function Neural Network Classifier.- Chapter 4. A study on the adaptability of Deep Learning-based Polar coded NOMA in Ultra-Reliable Low-Latency Communication Scenario.- Chapter 5. Heart Rate Variability based Mental Stress Detection using Deep Learning Approach.- Chapter 6. Product Based Market Analysis using Deep Learning.- Chapter 7. Driver drowsiness detection using Deep-Learning Chapter 8. Emotion detection from social media-based using machine learning techniques: A Survey.- Chapter 9. Deep age estimation using sclera images in multiple environment.- Chapter 10. Data Handling Approach for Machine Learning in Wireless Communication: A Survey.- Chapter 11. Breast cancer detection in mammograms using deep learning.- Chapter 12. Deep learning based Parameterized Framework to investigate the influence of Pedagogical Innovations in Engineering Courses.- Chapter 13. Modern Transfer Learning based preliminary diagnosis of COVID-19 using forced cough recordings with Mel-frequency cepstral coefficients.- Chapter 14. Biomedical Text Summarization: A Graph Based Ranking Approach.- Chapter 15. EEG based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity.
£116.99
Springer Verlag, Singapore Smart and Intelligent Systems: Proceedings of SIS
Book SynopsisThis book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 25–26, 2021, in virtual mode. It highlights how recent informatics intelligent systems have successfully been used to develop innovative smart techniques and infrastructure in the field of modern engineering and technology. The book will also be of interest to those working in the field of computational intelligence, smart computer network and security analysis, control and automation system, cloud computing, fog computing and IoT, smart grid communication, smart cities, solar cell synthesis and their performance, green technology, and many more. The contents of this book prove useful to researchers and professionals.Table of ContentsOptimal Sizing and Siting of Distributed Generation for Losses Minimization in Distribution System using Fractional Lévy Flight Bat Algorithm.- Performance Analysis of a Standalone Inverter System under Variable Loading Conditions.- Performance Study of a Wind-Battery based Islanding System.- Fabric Defect Detection Using Computer Vision.- Energy Audit and Advancement of Solar Installation in SIT: A Case Study.- Random Fault Positioning Based Voltage Sag Assessment for a Large Power Transmission Network.- Feasibility Analysis of SEPIC Converter as a PV Balancer for Practical Photovoltaic System.- Market Clearing Mechanism by Optimal Scheduling of Electric Power Suppliers.- Anti Camcorder Piracy Display System.- Performance Evaluation of HAWT and VAWT based WECS with Advanced Hill Climb Search MPPT and Fuzzy Logic Controller for Low Wind Speed Regions.
£224.99
Springer Verlag, Singapore Proceedings of the International e-Conference on
Book SynopsisThis book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.Table of ContentsChapter 1: Design and Analysis of Modified Split Ring Resonator Structured Multiband Antenna for WCDMA and WiMAX Applications.- Chapter 2: A Wearable Finger Exoskeleton For Motor Rehabilitation Using Mobile Application.- Chapter 3: Game theoretical approach for cluster-based routing protocol in Wireless Sensor Networks.- Chapter 4: Advance Digital Signal Processing for Interference Mitigation in Very High Throughput Satellite.- Chapter 5: Low-Power Endoscopic Image Compression Algorithms Using Modified Golomb Codes.- Chapter 6: Image Steganography Using Ridgelet Transform and SVD.- Chapter 7: HWCMA and HW-LS-CMA blind learning method for intelligent antenna system.- Chapter 8: Performance evaluation of prediction algorithm based tracking methods in a recovery of a lost target using Wireless Sensor Network.- Chapter 9: An Efficient Convolutional Neural Network for Acute Pain Recognition using HRV Features.- Chapter 10: Design and development of LSTM–RNN model for the prediction of RR intervals in ECG signals.- Chapter 11: FHSS Signals Classification by Linear Discriminant in a Multi-Signal Environment.- Chapter 12: Non-invasive Thyroid detection using thermal Imaging technique.- Chapter 13: Non Orthogonal Multiple Access Techniques for Next Generation Wireless Networks: A Review.- Chapter 14: Triple band circular patch antenna using complimentary split ring resonators.- Chapter 15: Features Analysis of Electroencephalography (EEG) for Mindfulness Meditation Effect on Cancer Patient toward Stress Level.
£116.99
Springer Verlag, Singapore Intelligent Systems: Proceedings of SCIS 2021
Book SynopsisThis book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.Table of ContentsOntological Simulation of Quality Test Concepts in Seafood Domain.- Moroccan Stock Market Prediction Using LSTM Model on A Daily Data.- A Fog-Cloud Computing assisted Lung-Cancer Diagnosis System using Deep Learning.- Performance Analysis of Power System Stability of Four Machine System by Using MBPSS and Static Compensator.- Performance Analysis of Sigmoid and Relu Activation Functions in Deep Neural Network.- CNC_Vision: Integrated Tool for Automated Creation of 2D Profiles for CNC Machine
£161.99
