1.

Record Nr.

UNINA990006265860403321

Autore

Ciccotti, Ettore

Titolo

Il codice delle Contravvenzioni / Ciccotti e Tomasello

Pubbl/distr/stampa

Orbetello : Tip. Editrice Giuseppe Ballini, s.d.

Descrizione fisica

XXXVI,, 967 p. ; 20 cm

Disciplina

345

Locazione

FGBC

Collocazione

XII Z 116

Lingua di pubblicazione

Non definito

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNISA996386590803316

Titolo

By the King. A proclamation concerning the viewing and distinguishing of tobacco in England and Ireland, the dominion of VVales, and towne of Barwicke [[electronic resource]]

Pubbl/distr/stampa

[Imprinted at London, : By Robert Barker, and Iohn Bill, printers to the Kings most excellent Maiestie, Anno M.DC.XIX. [1619]]

Descrizione fisica

[2] sheets

Altri autori (Persone)

James, King of England,  <1566-1625.>

Soggetti

Tobacco - Great Britain - Law and legislation

Tobacco industry - Great Britain - Law and legislation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Caption title.

Dated at end: Theobalds the tenth day of Nouember, in the seuenteenth yeere of our reigne ..

Imprint from colophon.

Arms 11; Steele notation: made, chants 2) con to.



Reproduction of the original in the Henry E. Huntington Library and Art Gallery.

Sommario/riassunto

eebo-0113

3.

Record Nr.

UNINA9911019352103321

Autore

Bhushan Bharat

Titolo

Wellness Management Powered by AI Technologies

Pubbl/distr/stampa

Newark : , : John Wiley & Sons, Incorporated, , 2025

©2025

ISBN

9781394287024

139428702X

9781394287000

1394287003

9781394287017

1394287011

Edizione

[1st ed.]

Descrizione fisica

1 online resource (443 pages)

Collana

Machine Learning in Biomedical Science and Healthcare Informatics Series

Altri autori (Persone)

KhandayAkib

AurangzebKhursheed

SharmaSudhir Kumar

NandParma

Disciplina

610.285/63

Soggetti

Artificial intelligence - Medical applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Sommario/riassunto

This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies. Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices



tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare. The book begins by examining the fundamental principles of machine learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners. In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare. Readers will find the book: Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges; Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes; Offers authoritative insights into current AI trends and future developments in healthcare; Features real-world case studies and examples showcasing successful AI integrations in various medical fields. Audience This book is a valuable resource for researchers, industry professionals, and engineers from diverse fields such as computer science, artificial intelligence, electronics and electrical engineering, healthcare management, and policymakers.