Annali di numismatica / pubblicati da Giuseppe Fiorelli

• Record Nr.: UNISALENTO991000016929707536
• Autore: Fiorelli, Giuseppe
• Pubbl/distr/stampa: Roma : Spithover, 1846-1851
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Posseduto: LE001 1846-1851.; 2 voll.

Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander [[electronic resource]]

• Record Nr.: UNINA9910784315803321
• Autore: Zoubir Abdelhak M.
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2004
• ISBN: 1-107-14842-1; 1-280-47787-3; 9786610477876; 0-511-19529-X; 0-511-19595-8; 0-511-19389-0; 0-511-33144-4; 0-511-53671-2; 0-511-19463-3
• Descrizione fisica: 1 online resource (xiv, 217 pages) : digital, PDF file(s)
• Disciplina: 621.382/2
• Soggetti: Signal processing - Mathematics; Image processing - Mathematics; Bootstrap (Statistics)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references (p. 201-214) and index.
• Nota di contenuto: Cover; Half-title; Title; Copyright; Contents; Preface; Notations; 1 Introduction; 2 The bootstrap principle; 3 Signal detection with the bootstrap; 4 Bootstrap model selection; 5 Real data bootstrap applications; Appendix 1 Matlab codes for the examples; Appendix 2 Bootstrap Matlab Toolbox; References; Index
• Sommario/riassunto: The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.

Agentic AI : Theories and Practices / / edited by Ken Huang

• Record Nr.: UNINA9911009340003321
• Autore: Huang Ken
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• ISBN: 3-031-90026-X
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (430 pages)
• Collana: Progress in IS, , 2196-8713
• Disciplina: 658.05
• Soggetti: Business information services; Artificial intelligence; Information technology - Management; Big data; Multiagent systems; IT in Business; Artificial Intelligence; Business IT Infrastructure; Big Data; Enterprise Architecture; Multiagent Systems
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: The Genesis and Evolution of AI Agents -- AI Agent Tools and Frameworks -- AI Agent Ecosystem - Multi-Agent Coordination -- AI Agent Economics -- AI Agents and Business Workflow -- AI Agents in Offensive Security -- AI Agents in Cyber Defense -- AI Agents in Banking -- AI Agents in Insurance -- AI Agents in Healthcare Practices -- AI Agents in Robotics -- AI Agent Safety and Security Considerations.
• Sommario/riassunto: This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs ; to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances. The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits. Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.