1.

Record Nr.

UNINA990000628390403321

Autore

Calamani, Stefano

Titolo

Conglomerati cementizi fibro-rinforzati : stato dell'arte ed indagini preliminari per una ricerca sulla possibilità di impiegoper opere marittime,1987 / LALAMANI S. - FRANCO L. - NOLI A. - RADOGNA E.F.

Pubbl/distr/stampa

Roma : D.I.S.G., 1987

Locazione

DINSC

Collocazione

07 U/1798

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Atti del Dipartimento di Ingegneria Strutturale e Geotecnica Roma-La Sapienza.

2.

Record Nr.

UNINA9910479748703321

Autore

Svensson, Lars Gunnar Georg

Titolo

Guida degli uccelli : d'Europa, Nord Africa e Vicino Oriente ; illustrazioni e didascalie di Killian Mullarney e Dan Zetterström / testi e mappe di Lars Svensson ; con la collaborazione di Peter J. Grant ; traduzione e adattamento italiano: Andrea Corso, Marco Gustin e Alberto Sorace

Pubbl/distr/stampa

Roma, : Ricca, 2013

ISBN

978-88-6694-021-0

Edizione

[2. ed]

Descrizione fisica

443 p. : ill. ; 32 cm

Altri autori (Persone)

Zetterström, Dan

Mullarney, Killian

Disciplina

598

Locazione

FAGBC

Collocazione

60 598 SVEL 2013

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNISA996546826303316

Autore

Talukdar Jyotismita

Titolo

Artificial Intelligence in Healthcare Industry [[electronic resource] /] / by Jyotismita Talukdar, Thipendra P. Singh, Basanta Barman

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

981-9931-57-6

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (208 pages)

Collana

Advanced Technologies and Societal Change, , 2191-6861

Altri autori (Persone)

SinghThipendra P

BarmanBasanta

Disciplina

006.3

Soggetti

Artificial intelligence

Medical care

Computational intelligence

Internet of things

Database management

Artificial Intelligence

Health Care

Computational Intelligence

Internet of Things

Database Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction to Human and Artificial Intelligence -- Knowledge Representation and Reasoning -- Methods of Machine Learning -- Supervised learning -- Unsupervised Learning -- Time-series analysis -- Artificial Intelligence in Healthcare -- Rule based expert systems -- Robotic Process Automation: A path to Intelligent Healthcare -- Tools and Technologies for implementing AI approaches in healthcare -- Learning Evaluation for Intelligence -- Ethics of Intelligence.

Sommario/riassunto

This book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare. The book mainly covers the foundations and various methods of learning in artificial intelligence with its application in healthcare industry. This book provides a comprehensive introduction to data analysis using AI



as a tool in the generation, normalization and analysis of healthcare data in association with several evaluation techniques and accuracy measurements. The book is divided into three major sections describing the basic foundations of AI and its associated algorithms, history of artificial intelligence in healthcare, recent developments and several modeling techniques for the same. The last section of the book provides insights into several implementations and methods of evaluation and accuracy prediction for healthcare analysis in AI. Extensive use of data for analysis and prediction using several technologies has transformed the lives of normal people indirectly effecting our process to communicate, learn, work and socialize within the society. Thus, the book also provides an insight into the ethics of AI that is very vital in the process of implementation and evaluation of healthcare data. The book provides an organized analysis to a considerable part of data in a digitized society. In view of this, it covers the theory, methodology, perfection and verification of empirical work for health-related data processing. Particular attention is devoted to in-depth experiments and applications.