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Signals and Communication Technology

Mastering Text Classification

Cutting-Edge NLP Techniques

Measurement, Automation, and Control in Artificial Intelligence and Machine Learning

ASSET 2024 Proceedings

The Third International Adaptive and Sustainable Science, Engineering and Technology

ICIEICT 2024

The 2nd International Conference on Innovation of Emerging Information and Communication Technology

ICESP 2025

6th International Conference on Electronics and Signal Processing

Fundamentals and ICT Assistive Technologies

Mobility of Visually Impaired People

Decision Support Systems for Industrial and Scientific Applications

In a world driven by data and decentralization, blockchain and machine learning are transforming industries at an unprecedented pace. The book"Blockchain and Machine Learning Innovations" explores the powerful convergence of these groundbreaking technologies, offering an in-depth look at how they are reshaping the future in innovative and exciting ways.&nbsp;Packed with expert insights, real-world applications, and forward-thinking concepts, this book provides a comprehensive guide to the opportunities and challenges at this intersection. It uncovers solutions to critical issues, offering practical frameworks and ideas for professionals, researchers, and tech enthusiasts alike.Key Features:<ul><li>&nbsp;Discover how blockchain and AI/ML combine to power next-generation solutions.</li><li>Gain inspiration from real-world examples and transformative ideas driving innovation.</li><li>Strike a balance between exploration and implementation, helping readers leverage blockchain and machine learning effectively.</li></ul>Whether you’re a tech visionary, a researcher, or simply curious about the future, this book equips you with the knowledge to lead in the age of decentralized intelligence. Your journey into the next era of technology starts here. "Blockchain and Machine Learning Innovations" – a must-read for anyone ready to explore the possibilities and shape the future.

Breaking Barriers with Distributed Intelligence

Blockchain and Machine Learning Innovations

Innovating and Integrating Emerging Technologies

ICSPIC 2024

7th International Conference on Signal Processing and Information Communications

This book highlights the importance of cybersecurity in the maritime domain, including the human and societal aspects of both cyber-crime and cyber-defense. The authors present mechanisms for early detection and prevention of cyber-attacks, as well as security protocols based on testbed nautical simulator experiments, machine learning algorithms and artificial intelligence applications. This collection of research articles addresses the ethical, societal and technical aspects of maritime cybersecurity and offers solutions to mitigate the threat of cyber-attacks. The book is designed to help both researchers and stakeholders across the maritime ecosystem, including shipping and port logistics. Research findings are presented in the following areas: human factors in maritime cyber security, cyber security awareness and skills of seafarers, vulnerabilities in electronic maritime navigation on manned and unmanned vessels, internal and external attack vectors on bridge and propulsion systems, cyber security threats and countermeasures in seaports. The book serves as a handbook for those professionally involved in or interested in cybersecurity of IT and OT systems.<ul><li>This book is open access, which means that you have free and unlimited access.&nbsp;</li><li>Enriched with solutions in the ethical, regulatory, and technical levels of maritime cybersecurity;</li><li>Presents considerations of cybersecurity defense techniques supported by analyses carried out on a nautical simulator;</li><li>Emphasizes the importance of protection against cyber-attacks at operational, tactical, and strategic levels.</li></ul>

Maritime Cybersecurity

Modern Design Aspects and Optimization

Millimeter Wave and Terahertz Devices for 5G and 6G systems

Theory and Application for Cyber Security and Forensics

Artificial Intelligence in Practice

Artificial intelligence (AI) is reshaping diagnostics, treatment planning, and patient care across diverse disciplines. Dentistry is now at the forefront of this innovation, with AI's ability to process complex data to improve clinical practice, empower patients, and address public health challenges.This richly illustrated book offers a deeper understanding of the foundational concepts of AI, its practical applications in oral health, and the possibilities that lie ahead. From oral pathology to maxillofacial surgery, prosthodontics to orthodontics, and endodontics to dental education, it presents compelling, evidence-based insights into how AI is changing the landscape of dentistry.Beyond its clinical potential, the book tackles the key risks and challenges associated with AI implementation. It provides a thoughtful roadmap for addressing ethical considerations, encouraging transparency, and developing solutions that prioritize both innovation and patient well-being.Written for dental professionals and an interdisciplinary audience, including educators, researchers, policymakers, and the public, this book serves as both a guide and a call to action for responsibly embracing AI's transformative power.Whether you are a seasoned practitioner, an academic, or simply curious about the intersection of AI and healthcare, this book will inspire and inform your journey into the future of dentistry.

Applications and Future Prospects

Artificial Intelligence for Oral Health Care

Ethics in Artificial Intelligence and Information Technologies

Communications in Computer and Information Science

9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part II

Computer Vision and Image Processing

This Three-volume set CCIS 2303-2305 constitutes the proceedings of the 4th International Conference on Intelligent Systems and Pattern Recognition, ISPR 2024, held in Istanbul, Turkey, in June 26-28, 2024. 


The 77 full papers presented were thoroughly reviewed and selected from the 210 submissions. The conference provided an interdisciplinary forum for the exchange of innovative advancements in the fields of artificial intelligence and pattern recognition.

4th International Conference, ISPR 2024, Istanbul, Turkey, June 26-28, 2024, Revised Selected Papers, Part I

Intelligent Systems and Pattern Recognition

Exploring Emerging Threats and Innovative Solutions

Securing the Connected World

Synthesis Lectures on Computer Science

Practical Uses and Instruments for Exploring Complex Networks

Graph Mining

9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part VI

Bloomsbury Advances in Translation

Explores historical, cultural, linguistic, technological and institutional influences on Translation Studies.

On the Situatedness of Translation Research

Positionalities of Translation Studies

Since the advent of Web 2.0, the interaction of user-generated content on participatory platforms has democratized content creation and reshaped communication, identity, authority, and knowledge across various fields, from health to politics, amid the post-truth phenomena. This timely book provides essential insights into the transformative effects of the evolving digital landscape. It gives a comprehensive analysis of how areas such as health, politics, and language ideology have been influenced by digital communication, and explores how online spaces have amplified minority voices, promoting inclusion and representation, while also addressing the backlash that challenges human rights associated with Internet use and the free exchange of information. The book also examines the intersection of law and digital crime, revealing the legal challenges posed by the online world. As our understanding of identity, knowledge, and authority increasingly intersects with Generative AI, it also discusses the impact of intelligent tools and the challenges they present.

Communities, Knowledge, and Authority

Understanding the Language of Virtual Interaction

Machine Learning, Deep Learning and AI for Cybersecurity

Springer Proceedings in Mathematics & Statistics

M3A24, Istanbul, Turkey, June 4–6, 2024

Mathematical Modeling with Modern Applications

Hier werden für die Medizin relevante KI-Modelle nachvollziehbar erklärt: Grundlagen und typische Anwendungsbereiche, mathematische Algorithmen, Daten und Datentypen, Programmierung in Python inkl. Programmcode sowie Erkennen und Vermeiden von Fehlern. Einsetzbar sowohl für wissenschaftliche Arbeiten als auch für KI-basierte Tools im medizinischen Alltag. Teil I - Einführung Was ist künstliche Intelligenz? Wo und wie kommt sie in der Medizin zum Einsatz? Welche Möglichkeiten und Grenzen bieten die Algorithmen? Welche Risiken gibt es, welche ethischen und rechtlichen Aspekte sind zu bedenken? Teil II - Die wichtigsten Algorithmen werden detailliert vorgestellt Für welche Art der Auswertung eignen sie sich? Welche mathematischen Modelle liegen zugrunde? Wie werden die Algorithmen programmiert und angepasst? Wie erkennt und vermeidet man fehlerhafte Auswertungen? <ul><li>Lineare Regression</li><li>Logistische Regression</li><li>Support Vector Machines</li><li>Decision Trees</li><li>Clustering</li><li>Neuronale Netze</li><li>Convolutional Neural Networks (CNNs)</li><li>Graph Neural Networks (GNNs)</li><li>Generative künstliche Intelligenz</li></ul> Daneben werden die nötigen Grundlagen zu Daten, Datentypen und zur Programmierung in Python erläutert, der Python-Code ist als Download verfügbar. Dieses Werk eignet sich für alle, die medizinische Daten z.B. im Rahmen einer Promotionsarbeit selbst auswerten wollen oder die ein vertieftes Verständnis zur Anwendung von KI-Analysen in der Medizin anstreben, um bestehende Tools gezielt anwenden zu können oder um neue Anwendungen zu entwickeln: Medizinstudierende, aber auch Forschende, Ärztinnen und Ärzte oder Unternehmerinnen und Unternehmer.

Für Studium, Forschung, Klinik und Wirtschaft

Künstliche Intelligenz in der Medizin: Anwendungen, Algorithmen und Programmierung

Mastering Text Classification

Informations bibliographiques

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