Kooperativer Bibliotheksverbund

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Umfang: 1 online resource (439 pages) : , digital, PDF file(s).

Ausgabe: 1st ed.

ISBN: 1-280-66698-6 , 9786613643919 , 90-485-1384-7

Serie: Film theory in media history

Inhalt: Although early film buffs may be familiar with Jean Epstein's films, including an adaptation of Edgar Allan Poe's The Fall of the House of Usher, not many Anglophones are acquainted with his poetic and provocative prose. Gathered in this wide-ranging collection are new translations into English of every major theoretical work on film theory Epstein ever published, as well a series of essays by other film makers and scholars of art history, French studies, and film, which provide incisive commentary and essential context for Epstein as both a director and a theoretician. As a result, Jean Epstein: Critical Essays and New Translations provides an expansive account of the artist and the man, from his beginnings as a student of biology and aspiring poet to his late film projects and posthumously published writings. By both connecting Epstein to his era and offering contemporary criticism of his films, the essays in this book demonstrate his ongoing importance in film history and theory. This collection is a timely reexamination of a filmmaker and author who has much to offer modern audiences and readers.

Anmerkung: Title from publisher's bibliographic system (viewed on 29 Jan 2021). , Frontmatter -- , Table of Contents -- , Acknowledgments -- , Abbreviations -- , Preface / , Introduction. Jean Epstein and the Revolt of Cinema / , Essays -- , Epstein's Photogénie as Corporeal Vision: Inner Sensation, Queer Embodiment, and Ethics / , Novelty and Poiesis in the Early Writings of Jean Epstein / , The Cinema of the Kaleidoscope / , Distance is [Im]material: Epstein Versus Etna / , "The Supremacy of the Mathematical Poem": Jean Epstein's Conceptions of Rhythm / , The "Microscope of Time": Slow Motion in Jean Epstein's Writings / , A Different Nature / , Cinema Seen from the Seas: Epstein and the Oceanic / , A Temporal Perspective: Jean Epstein's Writings on Technology and Subjectivity / , Ultra-Modern: Jean Epstein, or Cinema "Serving the Forces of Transgression and Revolt" / , Thoughts on Photogénie Plastique / , Translations -- , Introduction: Epstein's Writings -- , La Poésie d'aujourd'hui, un nouvel état d'intelligence (1921) / , Bonjour Cinéma (1921) / , La Lyrosophie (1922) / , Le Cinématographe vu de l'Etna (1926) / , L'intelligence d'une machine (1946) / , Le Cinéma du diable (1947) / , Later Works / , Late Articles -- , Afterword: Reclaiming Jean Epstein / , Filmography -- , Select Bibliography -- , Notes on Contributors -- , Index of Names -- , Index of Films and Major Writings by Jean Epstein -- , Index of Films , English

Weitere Ausg.: ISBN 90-8964-292-7

Sprache: Englisch

Fachgebiete: Romanistik

Schlagwort(e): Aufsatzsammlung ; Konferenzschrift ; Quelle ; Electronic book ; Aufsatzsammlung ; Konferenzschrift ; Quelle

DOI: 10.1515/9789048513840

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Umfang: 1 online resource (424 p.) : , 70 b&w halftones, 21 b&w line drawings, 40 maps, 2 charts, 28 color plates

ISBN: 9781501759215 , 9783110751826

Inhalt: Spatial Revolution is the first comparative parallel study of Soviet architecture and planning to create a narrative arc across a vast geography. The narrative binds together three critical industrial-residential projects in Baku, Magnitogorsk, and Kharkiv, built during the first fifteen years of the Soviet project and followed attentively worldwide after the collapse of capitalist markets in 1929.Among the revelations provided by Christina E. Crawford is the degree to which outside experts participated in the construction of the Soviet industrial complex, while facing difficult topographies, near-impossible deadlines, and inchoate theories of socialist space-making. Crawford describes how early Soviet architecture and planning activities were kinetic and negotiated and how questions about the proper distribution of people and industry under socialism were posed and refined through the construction of brick and mortar, steel and concrete projects, living laboratories that tested alternative spatial models. As a result, Spatial Revolution answers important questions of how the first Soviet industrialization drive was a catalyst for construction of thousands of new enterprises on remote sites across the Eurasian continent, an effort that spread to far-flung sites in other socialist states-and capitalist welfare states-for decades to follow.

Anmerkung: Frontmatter -- , CONTENTS -- , Acknowledgments -- , Glossary -- , Note on Transliteration and Translation -- , Introduction -- , Part I. Oil City: Baku, 1920-1927 -- , 1. Socialism Means Housing -- , 2. From Garden Cities to Urban Superblocks -- , 3. A Plan for the Proletariat -- , Part II. Steel City: Magnitogorsk, 1929-1932 -- , 4. The Great Debate -- , 5. Competition and Visions -- , 6. Frankfurt on the Steppe -- , Part III. Machine City: Kharkiv, 1930-1932 -- , 7. From Tractors to Territory -- , 8. Socialist Urbanization through Standardization -- , Conclusion -- , Appendix: Magnitogorsk Competition Brief -- , Notes -- , Bibliography -- , Index , Mode of access: Internet via World Wide Web. , In English.

In: Cornell University Press Complete eBook-Package 2022, De Gruyter, 9783110751826

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In: EBOOK PACKAGE COMPLETE 2022, De Gruyter, 9783110994810

In: EBOOK PACKAGE History 2022 English, De Gruyter, 9783110992960

In: EBOOK PACKAGE History 2022, De Gruyter, 9783110992939

Weitere Ausg.: ISBN 9781501759192

Sprache: Englisch

Fachgebiete: Geschichte

DOI: 10.1515/9781501759215

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Umfang: 1 online resource (123 pages)

Ausgabe: 1st ed.

ISBN: 9783319749501

Serie: Simula SpringerBriefs on Computing Series ; v.4

Anmerkung: Intro -- Foreword -- Preface -- Contents -- 1 Introduction -- 1.1 A New Situation -- 1.2 What Are We Afraid Of? -- 1.3 Huawei and ZTE -- 1.4 Trust in Vendors -- 1.5 Points of Attack -- 1.6 Trust in Vendors Is Different from Computer Security -- 1.7 Why the Problem Is Important -- 1.8 Advice for Readers -- References -- 2 Trust -- 2.1 Prisoner's Dilemma -- 2.2 Trust and Game Theory -- 2.3 Trust and Freedom of Choice -- 2.4 Trust, Consequence, and Situation -- 2.5 Trust and Security -- 2.6 Trusted Computing Base -- Trust Between Components -- 2.7 Discussion -- References -- 3 What Is an ICT System? -- 3.1 Transistors and Integrated Circuits -- 3.2 Memory and Communication -- 3.3 Processors and Instruction Sets -- 3.4 Firmware -- 3.5 Operating Systems, Device Drivers, Hardware Adaptation Layers, and Hypervisors -- 3.6 Bytecode Interpreters -- 3.7 The Application on Top -- 3.8 Infrastructures and Distributed Systems -- 3.9 Discussion -- References -- 4 Development of ICT Systems -- 4.1 Software Development -- 4.2 Hardware Development -- 4.3 Security Updates and Maintenance -- 4.4 Discussion -- References -- 5 Theoretical Foundation -- 5.1 Gödel and the Liar's Paradox -- 5.2 Turing and the Halting Problem -- 5.3 Decidability of Malicious Behaviour -- 5.4 Is There Still Hope? -- 5.5 Where Does This Lead Us? -- References -- 6 Reverse Engineering of Code -- 6.1 Application of Reverse Engineering in ICT -- 6.2 Static Code Analysis -- 6.3 Disassemblers -- 6.4 Decompilers -- 6.5 Debuggers -- 6.6 Anti-reversing -- 6.7 Hardware -- 6.8 Discussion -- References -- 7 Static Detection of Malware -- 7.1 Malware Classes -- 7.2 Signatures and Static Code Analysis -- 7.3 Encrypted and Oligomorphic Malware -- 7.4 Obfuscation Techniques -- 7.5 Polymorphic and Metamorphic Malware -- 7.6 Heuristic Approaches -- 7.7 Malicious Hardware. , 7.8 Specification-Based Techniques -- 7.9 Discussion -- References -- 8 Dynamic Detection Methods -- 8.1 Dynamic Properties -- 8.2 Unrestricted Execution -- 8.3 Emulator-Based Analysis -- 8.4 Virtual Machines -- 8.5 Evasion Techniques -- 8.6 Analysis -- 8.7 Hardware -- 8.8 Discussion -- References -- 9 Formal Methods -- 9.1 Overview -- 9.2 Specification -- 9.3 Programming Languages -- 9.4 Hybrid Programming and Specification Languages -- 9.5 Semantic Translation -- 9.6 Logics -- 9.7 Theorem Proving and Model Checking -- 9.8 Proof-Carrying Code -- 9.9 Conclusion -- References -- 10 Software Quality and Quality Management -- 10.1 What is Software Quality Management? -- 10.2 Software Development Process -- 10.3 Software Quality Models -- 10.4 Software Quality Management -- 10.5 Software Quality Metrics -- 10.6 Standards -- 10.7 Common Criteria (ISO/IEC 15408) -- 10.8 Software Testing -- 10.9 Verification Through Formal Methods -- 10.10 Code Review -- 10.11 Discussion -- References -- 11 Containment of Untrusted Modules -- 11.1 Overview -- 11.2 Partial Failures and Fault Models -- 11.3 Erlang: A Programming Language Supporting Containment -- 11.4 Microservices: An Architecture Model Supporting Containment -- 11.5 Hardware Containment -- 11.6 Discussion -- References -- 12 Summary and Way Forward -- 12.1 Summary of Findings -- 12.2 The Way Forward -- 12.2.1 Encryption -- 12.2.2 Formal Methods -- 12.2.3 Heterogeneity and Containment -- 12.3 Concluding Remarks.

Weitere Ausg.: Print version: Lysne, Olav The Huawei and Snowden Questions Cham : Springer International Publishing AG,c2018 ISBN 9783319749495

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Electronic books. ; Electronic books

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Umfang: XVII, 73 p. 3 illus., 2 illus. in color. , online resource.

Ausgabe: 1st ed. 2024.

ISBN: 9783658459703

Inhalt: This book brings clarity to the new, often still opaque world of the Metaverse. It concisely shows how the business areas of sales and marketing can specifically unleash their potential within it. Develop a fundamental understanding of the key terms and tools of the Metaverse with this book, and learn how Augmented Reality (AR) and Virtual Reality (VR) can shape the future of your business - and how you can optimally present and sell yourself in virtual worlds. With numerous use cases, strategies, and best practices, you will be well-equipped to help shape the Metaverse of tomorrow today. The Content Understanding the Metaverse and Its Importance for Businesses and Organizations Impact of the Metaverse on the Areas of Marketing and Sales Use Cases for the Application of AR and VR in Various Industries Strategies for the Journey into the Metaverse Outlook on the Future of Virtual Worlds The Authors Dr. Andreas Kohne is one of the managing directors of Valisory GmbH and an experienced business consultant. He has successfully implemented numerous national and international AR/VR projects across various industries. Ralf H. Komor is a top interim executive and a multiple award-winning expert in B2B sales. He has repeatedly demonstrated his expertise through the visionary use of AR, VR, and virtual technologies in his projects. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Anmerkung: Introduction -- Basics -- Why We Are Not Yet in the Metaverse -- Why It Is Still Worth Engaging with the Metaverse Today -- Impact of the Metaverse on Sales and Marketing -- Jump-Start Guides for Businesses in the Metaverse -- Opportunities and Risks -- Information, Links, and Checklists.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783658459697

Weitere Ausg.: Printed edition: ISBN 9783658459710

Sprache: Englisch

DOI: 10.1007/978-3-658-45970-3

URL: https://doi.org/10.1007/978-3-658-45970-3

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Umfang: 1 online resource (143 pages)

Ausgabe: 1st ed. 2024.

ISBN: 3-031-50323-6

Inhalt: The challenges of developing research and generating scientific knowledge in environments that involve subjective aspects related to employees, customers, managers, leaders, inspectors, auditors, among other stakeholders in the business environment, can be overwhelming for students that are new to this type of inquiry. This textbook presents an integrated view of qualitative research strategies with data collection and analysis techniques. The book explores nine distinct research strategies, namely ethnography, phenomenology, grounded theory, case study, design science research, grounded design, action research, participatory action research, and action-design research. Related to data collection, this text discusses different types of qualitative interviews (focus groups, ethnographic, phenomenological, etc), as well as how to handle ethical issues that may arise. In terms of analyzing data, the author describes various reading techniques, how to code the text, and how to use software to aid in the analysis. The final section of the book explains how to write up the results of qualitative research, including article structure and selecting an outlet for publication. Students will benefit from the plentiful examples and exercises that highlight the interweaving of data collection and analysis as well as concrete guidelines on engaging in qualitative research. At a time in which qualitative research is becoming more rigorous to meet the demands of the field, this textbook will prove a valuable resource for the next generation of business researchers. The English translation of this book from its Portuguese original manuscript was done with the help of artificial intelligence (machine translation by the service provider DeepL.com). A subsequent human revision of the content was done by the author.

Anmerkung: Part I- Introduction to Qualitative Research Approach -- 1. Overview of Qualitative Research -- Part II- Qualitative Research Strategies -- 2. Research Strategies According to the Constructivist Paradigm -- 3.Research Strategies According to the Pragmatic Paradigm -- 4. Research Strategies According to the Transformative Paradigm -- Part III- Qualitative Data Collection -- 5. Techniques for Data Collection -- 6. Dealing with People During the Research Process -- Part IV- Techniques for Qualitative Data Analysis -- 7. Content Analysis Technique -- 8. Software-Technique in Support of Qualitative Analyses -- Part V- Writing and Publishing Qualitative Research Findings -- 9.Communicating the Findings of Qualitative Research -- 10. Planning the Publication of Qualitative Research. .

Weitere Ausg.: ISBN 3-031-50322-8

Weitere Ausg.: ISBN 3-031-50325-2

Sprache: Englisch

DOI: 10.1007/978-3-031-50323-8

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UID:

Umfang: XIX, 127 p. 76 illus. , online resource.

Ausgabe: 1st ed. 2024.

ISBN: 9783662691533

Inhalt: In project-oriented companies, Project Management Offices (PMO) play an important, sometimes central role in aligning and efficiently directing the company's project management activities. These result in organization-specific structures with varied tasks, functions and organizational frameworks. The project management profession is subject to changes and new developments, such as agil, sustainability or new and evolving roles, which present challenges for present and future PMO. This book aims to provide a concise overview of the opportunities offered by PMO and the various implementation approaches. The fourth edition has been expanded to include information on integrating AI technologies and project governance structures, along with two additional case studies on PMO implementation. The content includes: Classification options Tasks and responsibilities Introduction to PMO Case studies The Authors Prof. (FH) Mag. Dr. Gerhard Ortner, zPM, has been a full-time lecturer and head of the project management department at UAS BFI Vienna for 20 years. He focuses his research on managing project-oriented companies and contributes to the development of project management standards as a member of the ISO Technical Committee 258. His recent work revolves around project governance roles as key success factors. Mag. (FH) Betina Stur, a graduate of the "Project Management and Information Technology" diploma program, has over 15 years of experience in the Project Management Office at UAS BFI Vienna. Located within the Quality Management and Academic Development department, she initially focused on process management. She prioritizes supporting project managers and providing services to project sponsors. Additionally, she serves as the formal lead in internal projects. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Anmerkung: Forewords -- Introduction -- The Project Management Office (PMO) -- Categorisation options for PMOs -- Correct positioning of the PMO -- Tasks and responsibilities of the PMO -- Finding the area of responsibility, introducing and anchoring the PMO -- Success factors and acceptance -- Case studies -- Index.

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Weitere Ausg.: Printed edition: ISBN 9783662691526

Weitere Ausg.: Printed edition: ISBN 9783662691540

Weitere Ausg.: Printed edition: ISBN 9783662691557

Sprache: Englisch

DOI: 10.1007/978-3-662-69153-3

URL: https://doi.org/10.1007/978-3-662-69153-3

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Umfang: 1 online resource (192 pages)

Ausgabe: 1st ed.

ISBN: 9783031552724

Serie: Palgrave Studies in Creativity and Culture Series

Anmerkung: Intro -- Acknowledgements -- Contents -- Notes on Contributors -- List of Figures -- Part I Creative Applications of Artificial Intelligence in Education -- 1 Creative Application of Artificial Intelligence in Education -- Introduction -- From Human Intelligence Emulation to Human-AI Creativity -- AI in Education, a Critical Domain for the Society -- The Organisation of the Book -- References -- 2 Preserving Teacher and Student Agency: Insights from a Literature Review -- Introduction -- Artificial Intelligence Applied to Education -- AI Through the Prism of the Technological System -- Agency to Understand and Situate Human Activity -- Research Question -- Method: A Literature Review on Ethical Issues -- Results Related to the Agency of Teachers and Students -- Results for Teacher Agency -- Student Agency Results -- Discussion: Some Nuances and Ways to Guard Against Risks -- Discussion of the Technical System -- Discussion in Relation to Agency -- Avenues for the Development of AI-Based Tools that Preserve Agency -- Conclusion -- References -- 3 Learning Artificial Intelligence Through Open Educational Resources -- Introduction -- AI as an Adaptive Learning Tool -- AI as a Model for Understanding Human Learning -- AI and Citizen Education -- A Shift in Our Way of Thinking -- References -- 4 Digital Acculturation in the Era of Artificial Intelligence -- Introduction -- Digital Acculturation from the Lens of Information and Communication Studies -- The Three Levels of Digital Acculturation -- First Level of Digital Acculturation -- Second Level of Digital Acculturation -- Third Level of Digital Acculturation -- Digital Acculturation Within the Integration of Digital Technologies at School -- Perspectives for Digital Acculturation with Regard to the Perspectives of AI in Learning and Education -- References. , 5 Citizenship, Censorship, and Democracy in the Age of Artificial Intelligence -- Introduction -- Current Problems in the Integration of AI into Education -- Discussion -- References -- Part II Artificial Intelligence in K-12 Education -- 6 International Initiatives and Regional Ecosystems for Supporting Artificial Intelligence Acculturation -- Introduction -- AI Acculturation in the House of Artificial Intelligence -- The Outreach Curriculum for the Acculturation to AI -- Entrepreneurship in the Age of AI -- Gender Perspectives in the Acculturation to AI -- The Smart Hive Interdisciplinary Project -- A Regional Ecosystem for Supporting AI Acculturation -- Discussion -- References -- 7 Informal Education Practices for Human-AI Creative Pedagogy for Accessibility and Inclusivity -- Introduction -- Equal Opportunity Through Science -- Collaborations and Projects -- The Scientotheque Library's Educational Approach to AI -- A Catalogue of Educational Resources on AI -- Teacher Support -- Learning Activities for Better Understanding of AI in Education -- Perspectives -- References -- 8 Students' Perspective on the Use of Artificial Intelligence in Education -- Introduction -- Higher Education Students' Perspective on the Use of AI in Education -- Middle Schoolers Perspectives on AI -- The Life Bloom Academy -- Procedure -- Middle Student Perspectives on AI in Education -- Students Perception of the Nature of AI -- Students' Concerns About Privacy and Social Control in the Era of AI -- Students Perception of AI in the Service of Sustainable Development -- Students' Perception of the Potential of AI in Healthcare -- Students' Expectations of AI at the Service of Education -- Discussion -- References -- Part III Artificial Intelligence in Higher Education -- 9 Affordances for AI-Enhanced Digital Game-Based Learning -- Introduction. , Design Affordances for AI Tools in Education -- Pedagogical Affordances in AI Tools for Education -- Social Affordances in AI for Education -- Technical Affordances in AI for Education -- Affordances Perception, Learning Analytics, and Machine Learning -- Discussion -- References -- 10 Generative Artificial Intelligence in Higher Education -- Introduction -- Uses of AI in Higher Education -- AI for Language Learning and Translation -- Chatbots in Higher Education -- Responsible Use of Generative AI Tools in Academia -- References -- 11 Artificial Intelligence in Professional and Vocational Training -- Introduction -- The Use of Professional Analytics in Designing AI Tools -- Exploring AI in Vocational Training: The Case of French Comté Cheese -- AI Support in Simulated Environments: The Silva Numerica Project -- The Challenges of Utilising AI and Intelligent Tutors in Professional Learning -- Conclusion: Navigating the Terrain of AI in the Field of Professional Learning -- References -- 12 Manifesto in Defence of Human-Centred Education in the Age of Artificial Intelligence -- Introduction -- Empowering Students and Teachers as Decision-Makers -- Impact of Artificial Intelligence on Existing Educational Paradigms -- Artificial Intelligence in Human-Centred Education -- Hybrid Intelligence -- Creative Uses of Artificial Intelligence in Education -- Inclusivity and Diversity in Artificial Intelligence -- Advancing Towards an Increased Human-Centred Education in the Age of AI -- References -- Index.

Weitere Ausg.: Print version: Urmeneta, Alex Creative Applications of Artificial Intelligence in Education Cham : Palgrave Macmillan,c2024 ISBN 9783031552717

Sprache: Englisch

Schlagwort(e): Electronic books. ; Aufsatzsammlung

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Umfang: 1 online resource (509 pages)

Ausgabe: 1st ed. 2024.

ISBN: 9789819738106

Serie: Lecture Notes in Networks and Systems, 1006

Inhalt: This book presents high-quality, peer-reviewed papers from 3rd International Conference on “Universal Threats in Expert Applications and Solutions" (UNI-TEAS 2024), jointly being organized by IES University, Bhopal, and Shree KKarni Universe College, Jaipur, in association with CSI Jaipur Chapter and Jaipur ACM Professional Chapter during January 6–9, 2024. The book is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.

Anmerkung: Intro -- Preface -- Acknowledgements -- About This Book -- Contents -- Editors and Contributors -- An Advanced Algorithm and Utility for Identifying Critical Web Vulnerabilities with Exceptional Performance -- 1 Introduction -- 1.1 Automated Testing Mechanisms -- 1.2 Use of Machine Learning Techniques -- 1.3 Techniques for Reducing Input Data Space -- 1.4 Scanning Tool Development -- 2 Considered Website Vulnerability -- 2.1 SQL Injection -- 2.2 Cross-Site Scripting -- 3 Related Study -- 4 Proposed and Improved Algorithms -- 5 Algorithm for Detecting XSS -- 6 Enhancing Vulnerability Detection through the Application of Machine Learning -- 7 Scanning Tool -- 8 Systematic Flow of GKD Website Scanner -- 9 Conclusion -- References -- Potential Impacts of Online-Based Learning 2.0 and Certification on Employability -- 1 Introduction -- 1.1 Background -- 1.2 Statement of the Problem -- 1.3 Study Rationale -- 1.4 Purpose of This Work -- 1.5 Limitations and Scope of the Work -- 1.6 Research Hypothesis -- 2 Research Methodology -- 2.1 The Sample Size of the Work -- 2.2 Data Collection -- 3 Data Analysis, Results, and Discussions -- 3.1 Average Age -- 3.2 Education Background -- 3.3 Employment -- 3.4 Online Certification -- 3.5 Online-Based Certification Availability -- 3.6 Online-Based Certification Acceptance -- 3.7 Online Certification Improves Skill Development -- 3.8 Online-Based Certification Increases Employability -- 3.9 Online Learning Fosters the Development of Reflective and Critical Thinking -- 3.10 Online Education is Useful for a Wide Range of Professions in Many Industries -- 3.11 Online-Based Learning Provides Knowledge as Required -- 3.12 Online Learning is Advantageous for Career Development and Ongoing Education -- 4 Conclusion -- References. , An Intelligent Self-Driving Car's Design and Development, Including Lane Detection Using ROS and Machine Vision Algorithms -- 1 Existing Work -- 2 Proposed System -- 2.1 Mechanical -- 2.2 Electrical -- 2.3 Algorithm and Machine Vision -- 3 Implementation -- 3.1 Canny Edge Detection -- 3.2 Region of Interest -- 3.3 Hough Transform -- 3.4 Average Slope Intercept -- 3.5 Curvature Calculation -- 3.6 Sliding Window Approach -- 4 Results and Discussion -- 5 Conclusion -- References -- Text Summarization for Kannada Text Documents: A Review -- 1 Introduction -- 2 Review of Literature -- 3 Datasets -- 3.1 Kannada Treebank -- 3.2 Kannada-MNIST: A New Handwritten Digit Dataset for the Kannada Language -- 3.3 Samanantar: Parallel Corpora Collection for 11 Indic Languages -- 3.4 MLe2e -- 3.5 IndicCorp -- 4 Evaluation Measures -- 5 Conclusion and Future Works -- References -- Solar Panel Tracking with Battery-Assisted and Battery Charging Modes -- 1 Introduction -- 2 Literature Review -- 3 Methods and Materials -- 3.1 Implementation Using MATLAB -- 3.2 Charging Mode -- 3.3 Discharging Mode -- 4 Results and Discussion -- 4.1 Hardware Implementation -- 5 Conclusion -- References -- Elevator-Based Earth Tremor Sentinel Technique with MQTT Protocol -- 1 Introduction -- 2 Related Work -- 2.1 Perseverance of Artificial Neural Networks (ANN) in Elevators -- 2.2 Purpose of Accelerometer in Elevators -- 2.3 Precedence of MQTT -- 3 Methodology -- 3.1 The Layout of the Proposed Model -- 3.2 Machine Learning Models for Earthquake Detection -- 3.3 Programming an AI Neural Network -- 4 Discussion -- 5 Conclusion -- References -- An Efficient System Model for Identification of Drug Addiction -- 1 Introduction -- 2 Related Work -- 3 Prpopsed Methodology -- 3.1 Attribute Selection -- 3.2 ID3 Algorithm -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References. , Design and Analysis of a Multipath Routing Protocol to Enhance QoS in MANET -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Proposed Algorithm -- 4 Results Analysis -- 4.1 Simulation Parameters -- 4.2 Packet Sents -- 4.3 Packet Receives -- 4.4 Percentage of Data Receives (PDR) -- 4.5 Normal Routing Load (NRL) -- 5 Conclusion -- References -- Tagging of Uterine Cervix Cases at Cell and Slide Level Through Transfer Learning -- 1 Introduction -- 1.1 Deep Neural Network -- 1.2 Transfer Learning -- 1.3 ResNet50 -- 1.4 Cervical Cancer -- 2 Literature Review -- 3 Material and Method -- 3.1 Data -- 3.2 Methodology -- 4 Result and Analysis -- References -- Estimation of Medical Expenses Using Machine Learning -- 1 Introduction -- 2 Methodology Applied -- 2.1 Dataset -- 2.2 Feature Engineering -- 2.3 Feature Importance Analysis -- 3 Used Models and Algorithms -- 4 Experiment Results -- 5 Conclusion -- Challenges in Making OCR of Gujarati Newspaper -- 1 Introduction -- 2 Review of Literature -- 2.1 Review on Segmentation -- 2.2 Review on Recognition Text -- 3 Problem in Gujrati Language Newspaper -- 3.1 Scanner Image Quality -- 3.2 Background Noise -- 3.3 Font and Style Variation -- 3.4 Text Size Variation -- 3.5 Complex Ligatures in the Script -- 3.6 Limited Trained Data -- 4 Observation -- 5 Conclusion -- References -- A Hybrid Methodology for Software Development and IT Team Analysis in Manufacturing -- 1 Introduction -- 2 Methods -- 2.1 A Comparison of Project Durations Before and After Model Release -- 2.2 Before and After the Model's Release on DRE -- 2.3 A Comparison of the Costs of Development and Maintenance -- 2.4 Criticality-Based Development to Maintenance Ratio of a Project -- 2.5 A Maintenance Ratio Determined by the Number of Lines of Code -- 3 Conclusion -- References. , AI Enabled Convolutional Neural Networks to Detect Brain Tumors -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement -- 4 Proposed Methodology -- 4.1 Image Database -- 4.2 Data Augmentation with Pre-Processing -- 4.3 Data Split -- 5 Results -- 6 Analysis -- 7 Conclusion -- References -- Increasing Productivity in Software Development Through the Use of Docker Technology -- 1 Introduction of Dockers -- 1.1 Docker -- 1.2 Docker File -- 1.3 Docker Image -- 2 Experiment -- 2.1 Docker Java Image File -- 2.2 Python-Enabled Docker Image File -- 2.3 Comparative Results -- 3 Conclusion -- 4 Future Scope -- References -- Multimodal Fusion-Based Hybrid CRNN Model for Emotion Prediction in Music -- 1 Introduction -- 1.1 Key Contribution -- 2 Article Organization -- 3 Related Work -- 4 Methodology -- 4.1 Data Description -- 4.2 Pre-Processing -- 4.3 Feature Extraction -- 5 Proposed Model -- 5.1 Multimodel Fusion -- 6 Result and Discussion -- 6.1 Experimental Setup for the Proposed System -- 6.2 Implementation Details -- 7 Conclusion -- References -- Multimodal Analysis of Induction Motor Signals for Power Quality Abnormality Detection Using Wavelet-RBF Approach -- 1 Introduction -- 2 Research Contribution -- 3 Proposed Methodology -- 3.1 Wavelet Transform -- 3.2 RBF Neural Networks -- 4 Result Analysis and Discussion -- 4.1 Vibration Analysis Using Sensor and Current Transformer -- 5 Conclusion -- References -- Smart Electronic Speaking Glove for Physically Challenged Person -- 1 Introduction -- 1.1 Research Contribution -- 2 Proposed Methodology -- 3 Implementation and Execution -- 3.1 Hardware Description -- 3.2 Implemented in Proteus Simulation -- 4 Result and Discussion -- 5 Conclusion -- References -- COVID-19 Detection Using Fourier-Bessel Series Expansion-Based Dyadic Decomposition and Custom CNN -- 1 Introduction -- 1.1 Author Contribution. , 2 Article Organisation -- 3 Related Work -- 4 Methodology -- 4.1 Data Description -- 4.2 Image Preprocessing -- 4.3 FBD Methodology -- 5 Proposed Model -- 5.1 SMOTETomek -- 5.2 Keras Tunner -- 6 Result and Discussion -- 6.1 Experimental Configuration for the Suggested System -- 7 Conclusion -- References -- Instantaneous Interpretation into Sign Language for the Hearing Impaired -- 1 Introduction -- 1.1 Feature Extraction -- 1.2 NLP -- 1.3 CNN -- 2 Literature Survey -- 2.1 Improvement of Speech -- 2.2 Translation from Speech to Sign Language -- 2.3 Converter from Speech to Sign Language -- 3 Proposed Methodology -- 3.1 Deaf People's Model -- 3.2 Mute People Model -- 4 Analysis by Comparison to the Current Model -- 5 Conclusion -- 6 Future Scope -- References -- A Review of Anomaly Based Multiple Intrusion Detection Methods Using a Feature Based Deep Learning Approach -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Correlation of Traditional Technique and ML-Based Technique for Efficient Effort Estimation: In Agile Frameworks -- 1 Introduction -- 2 Related Work -- 2.1 Non-Algorithmic Technique-Based Effort Estimation in Agile -- 2.2 Algorithmic Technique-Based Effort Estimation in Agile -- 2.3 Machine Learning-Based Effort Estimation in Agile -- 3 Research Objective -- 3.1 Research Question -- 3.2 Question Objective -- 4 Research Methodology -- 4.1 (RQ1) What Are the Various Traditional Techniques for Effort Estimation in an Agile Context? -- 4.2 (RQ2) What Are the Different ML Techniques for Effort Estimation in an Agile Context? -- 4.3 (RQ3) Which ML Algorithm Outperformed Among Themselves and What Are the Different Metrics Used to Determine the Accuracy of ML Techniques? -- 5 Results -- 6 Conclusion and Discussion -- References. , NLP-Based Processing of Gujarati Compound Word Sandhi's Generation and Segmentation.

Weitere Ausg.: Print version: Rathore, Vijay Singh Universal Threats in Expert Applications and Solutions Singapore : Springer,c2024 ISBN 9789819738090

Sprache: Englisch

DOI: 10.1007/978-981-97-3810-6

URL: Volltext  (URL des Erstveröffentlichers)

URL: https://doi.org/10.1007/978-981-97-3810-6

UID:

Umfang: XVII, 277 p. 17 illus., 6 illus. in color. , online resource.

Ausgabe: 1st ed. 2024.

ISBN: 9783658451769

Serie: Springer Studies in Alternative Economics,

Inhalt: This book explores the separation of economics from the social sciences. Raimund Dietz attributes this development to the adoption of a too narrow, instrumentalist perspective and demonstrates how close the mainstream is to the idea of a socialist planned economy, despite all its liberal phraseology. The book attempts to comprehensively reconstruct economics as catallactics, explicitly including and assigning a central role to liberal forms of socialization, such as exchange and money - an approach that, it argues, is the only way to overcome the methodological deficits of the mainstream. It allows monetary theory to be integrated into economic theory. Further, the book shows that modern societies have no choice but to organize themselves as capitalist market economies. For good economic reasons, money has lost its physical value over the course of time and is now merely symbolic. As a result, the importance of the state has also grown. The author proposes that the power to create money should be consistently placed in the hands of the central bank. The book offers a transformative perspective that addresses the urgent need for sustainable resource management worldwide. It invites social scientists, policymakers, and especially economists to rethink economics and pursue a holistic approach to a more sustainable future. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Anmerkung: Chapter 1. Introduction -- Chapter 2. Society -- Chapter 3. Value Theory -- Chapter 4. Exchange, Money, Society -- Chapter 5. Money -- Chapter 6. Money and "Socialism" -- Chapter 7. Summary: Or, What's New Here?.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783658451752

Weitere Ausg.: Printed edition: ISBN 9783658451776

Weitere Ausg.: Printed edition: ISBN 9783658451783

Sprache: Englisch

DOI: 10.1007/978-3-658-45176-9

URL: https://doi.org/10.1007/978-3-658-45176-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Umfang: 1 online resource (459 pages)

Ausgabe: 1st ed. 2024.

ISBN: 9789819732456

Serie: Lecture Notes in Networks and Systems, 998

Inhalt: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 8th International Conference on Data Management, Analytics and Innovation (ICDMAI 2024), held during 19–21 January 2024 in Vellore Institute of Technology, Vellore, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into two volumes.

Anmerkung: Intro -- Preface -- Contents -- Editors and Contributors -- Comprehensive Survey of Nonverbal Emotion Recognition Techniques -- 1 Introduction -- 2 Applications Based on Understanding Nonverbal Emotion -- 3 Machine/Deep Learning Methods for Recognition of Nonverbal Emotion -- 3.1 Facial Expressions Recognition Machine/deep Learning Methods -- 3.2 Hand Gestures Recognition Machine/Deep Learning Methods -- 3.3 Body Language Recognition Machine/Deep Learning Methods -- 4 Findings -- 5 Conclusion -- References -- A Two-Stage CNN Based Satellite Image Analysis Framework for Estimating Building-Count in Residential Built-Up Area -- 1 Introduction -- 2 Review of the Relevant Research Work -- 3 Background Study -- 3.1 Mask R-CNN -- 3.2 Regression Using CNN -- 4 Proposed Methodology -- 4.1 Overview of Proposed Methodology -- 4.2 Mask R-CNN Top-Down Approach for Segmentation of Built Up Area -- 4.3 CNN Based Regression Model to Estimate Building-Count Within Segmented Built-Up Area -- 5 Experimental Evaluation of the Proposed Framework -- 5.1 Dataset Used -- 5.2 Experimental Setup -- 5.3 Experimental Evaluation Metric -- 5.4 Experimental Results and Discussion -- 6 Conclusion -- References -- Forecast of Energy Demand Using Temporal Fusion Transformer -- 1 Introduction -- 2 Survey of Literature -- 3 Proposed Work -- 3.1 Data Collection and Preprocessing -- 3.2 TFT Model Architecture -- 3.3 Training and Validation -- 4 Results -- 4.1 Forecasts -- 4.2 Interpreting the Seasonality -- 4.3 Detecting Some Accidental or Extreme Events -- 4.4 Ranking the Features -- 5 Conclusion -- References -- Mental Health Prediction Using Artificial Intelligence -- 1 Introduction -- 2 Literature Survey -- 3 Design -- 4 Methodology -- 5 Results -- 6 Future Directions and Limitations -- 7 Conclusion -- References. , VGGish Deep Learning Model: Audio Feature Extraction and Analysis -- 1 Introduction -- 1.1 Feature Extraction -- 1.2 Dataset -- 2 Related Work -- 3 Proposed System -- 3.1 Preprocessing -- 3.2 Feature Extraction -- 3.3 Feature Concatenation and Selection -- 3.4 Classification -- 3.5 Output -- 4 Proposed Algorithm -- 4.1 Initialization -- 5 Results -- 6 Conclusion -- References -- Stacking Ensemble-Based Approach for Sarcasm Identification with Multiple Contextual Word Embeddings -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Preprocessing -- 3.2 Contextual Word Embeddings -- 3.3 Proposed Model -- 4 Materials and Methods -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Trigger-Based Pothole Detection, and Warning System with RQ and PHR Mapping -- 1 Introduction -- 2 Related Work and Comparative Study -- 3 Methodology -- 4 Flowcharts -- 5 Result and Discussions -- 6 Conclusion -- References -- Blending Motion Capture and 3D Human Reconstruction Techniques for Enhanced Character Animation -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Technologies Used for 3D Model Building -- 3.2 Technology Used for MoCap -- 3.3 Integration of the Technologies Used -- 3.4 Constraints of the Proposed System -- 4 Result -- 5 Future Scope -- References -- A Comprehensive Survey of Regression-Based Loss Functions for Time Series Forecasting -- 1 Introduction -- 2 Time Series Data -- 3 Regression Loss Functions -- 3.1 Mean Absolute Error (MAE) -- 3.2 Mean Squared Error (MSE) -- 3.3 Mean Bias Error (MBE) -- 3.4 Relative Absolute Error (RAE) -- 3.5 Relative Squared Error (RSE) -- 3.6 Mean Absolute Percentage Error (MAPE) -- 3.7 Root Mean Squared Error (RMSE) -- 3.8 Mean Squared Logarithmic Error (MSLE) -- 3.9 Root Mean Squared Logarithmic Error (RMSLE). , 3.10 Normalized Root Mean Squared Error (NRMSE) -- 3.11 Relative Root Mean Squared Error (RRMSE) -- 3.12 Huber Loss -- 3.13 Log-Cosh Loss -- 3.14 Quantile Loss -- 4 Experiments -- 4.1 Datasets -- 4.2 Performance Metrics -- 5 Conclusion -- References -- Diabetic Retinopathy Detection Using Real-World Datasets of Fundus Images -- 1 Introduction -- 1.1 Diabetic Retinopathy -- 1.2 Severity and Stages -- 2 Literature Review -- 2.1 Research Gaps -- 3 The Dataset -- 3.1 Retinal Image Collection -- 4 Related Work -- 5 Methodology -- 5.1 Data Distribution of Retinal Image Collection -- 5.2 Filtering Out Images with Noise -- 5.3 Image Cropping for Removal of Unnecessary Content -- 6 Model Architecture -- 7 Experimental Analysis -- 8 Results and Discussion -- 8.1 Deep Learning Models Overview -- 8.2 Diagnosis & -- Preventative Measures -- 9 Comparative Analysis -- 10 Future Scope -- 11 Conclusion -- References -- Deep Learning for MRI-Based Brain Tumour Identification and Classification -- 1 Introduction -- 1.1 Viewing Brains -- 1.2 PET Scans -- 1.3 CGI -- 1.4 MRI -- 1.5 Diffusion Scaling Imaging -- 2 Literature Survey -- 3 Proposed Method -- 3.1 Pre Processing -- 3.2 Classification -- 3.3 Characterisation -- 3.4 Grouping -- 3.5 Convolution Neural Network -- 4 Results and Discussion -- 5 Conclusion -- References -- Preserving Tamil Brahmi Letters on Ancient Inscriptions: A Novel Preprocessing Technique for Diverse Applications -- 1 Introduction -- 2 Literature Review -- 3 Methodology for Inscription Translation -- 3.1 Image Blurring -- 3.2 Binarization -- 3.3 Edge Detection -- 4 Results and Discussion -- 5 Conclusion -- References -- Analysis of Regular Machine Learning and Ensemble Learning Approaches for Term Insurance Prediction in Banking Data -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Acquisition of Data -- 3.2 Analysis. , 3.3 Data Preprocessing -- 3.4 Training and Analysis of Models -- 4 Results -- 5 Conclusion -- References -- Platform Independent Satellite Image Processing Using GPGPU -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Operating System Portability and Hardware Independence -- 3.2 GPU Detection and Parallel Computing -- 3.3 Change Detection -- 3.4 Algorithms -- 4 Results and Discussions -- 4.1 Evaluation Environment -- 4.2 Evaluation Result -- 5 Conclusion -- 6 Future Scope -- References -- Blending Psychological Models with Modern HCI Techniques to Develop Artificial Emotional Intelligent "Affective" Systems -- 1 Introduction -- 1.1 Understanding Affective Computing -- 1.2 Human Emotions -- 1.3 Paper Organization -- 2 Literature Review -- 3 HCI Techniques for Utilizing Emotion Models -- 3.1 HCI Background -- 3.2 Modern HCI Systems & -- Interaction Modalities -- 4 Blending HCI Approaches with Psychological Models and ML Techniques -- 5 Conclusion -- 5.1 Future Scope -- References -- An Enhanced Deep Learning Method to Generate Synthetic Images with Features That are Comparable to Original Images Using Neural Style Transfer -- 1 Introduction -- 2 Network Architecture -- 2.1 Loss -- 2.2 Content Loss -- 2.3 Style Loss -- 3 Results -- 3.1 Comparative Evaluation -- 4 Conclusion -- References -- Improving Sentiment Analysis by Handling Negation on Twitter Data Using Deep Learning Approaches -- 1 Introduction -- 1.1 Contributions -- 1.2 Organization -- 2 Related Work -- 3 Proposed Methodology -- 3.1 WordNet -- 3.2 Preprocessing -- 3.3 Negation Handling -- 3.4 Classification -- 4 Results -- 4.1 Dataset Description -- 4.2 Experimental Results -- 5 Conclusion -- References -- Comparative Analysis of Deep Learning Models for Car Part Image Segmentation -- 1 Introduction -- 2 Related Works -- 3 Dataset Description -- 4 Methodology. , 4.1 YOLOv8 Segmentation Model -- 4.2 Detectron2 Mask R-CNN Resnet 101 FPN -- 4.3 Detectron 2 Mask R-CNN ResNeXt 101 32×8d FPN -- 5 Experimental Results and Observations -- 6 Conclusion -- References -- Boosting Tiny Object Detection in Complex Backgrounds Through Deep Multi-Instance Learning -- 1 Introduction -- 2 Literature Survey -- 2.1 Multi Instance Metric Learning and Bags -- 3 Methodology -- 3.1 Dataset Preparation -- 3.2 Experimental Design -- 4 Results and Discussion -- 4.1 Experimental Setup -- 5 Conclusion -- References -- Driver Drowsiness Detection System Using YoloV5 -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Technology Used -- 4.1 Design and Analysis -- 5 Result and Experiment -- 5.1 Design and Analysis -- 5.2 Preprocessing -- 5.3 Performance of the Model -- 5.4 Result and Discussion -- 6 Future Scope -- 7 Conclusion -- References -- Shift of Customer from Unorganised to Organised Sector in Retail: Is Adoption of Technology a Catalyst -- 1 Introduction -- 1.1 Background of the Problem -- 1.2 Research Problem and Relevance -- 2 Theoretical Framework and Hypothesis Development -- 3 Research Methodology -- 4 Result and Analysis -- 5 Findings and Discussions -- 6 Conclusion -- 6.1 Usage and Limitations -- References -- E-CNN-FFE: An Enhanced Convolutional Neural Network for Facial Feature Extraction and Its Comparative Analysis with FaceNet, DeepID, and LBPH Methods -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Implementation -- 5 Conclusion -- References -- A Graphical Neural Network-Based Chatbot Model for Assisting Cancer Patients with Dietary Assessment in their Survivorship -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Material -- 3.2 Software and Hardware Requirements -- 3.3 Method -- 4 Results and Discussion -- 4.1 Time Complexity -- 5 Conclusion -- References. , Plant Identification and Disease Detection System Using Deep Convolutional Neural Networks.

Weitere Ausg.: Print version: Sharma, Neha Data Management, Analytics and Innovation Singapore : Springer,c2024 ISBN 9789819732449

Sprache: Englisch

DOI: 10.1007/978-981-97-3245-6

URL: Volltext  (URL des Erstveröffentlichers)

URL: https://doi.org/10.1007/978-981-97-3245-6