1.

Record Nr.

UNISOBE600200022478

Autore

Listri, Pier Francesco

Titolo

Le frontiere dell'uomo : antologia di problemi contemporanei / Pier Francesco Listri ; Gorizio Viti ; Pier Luigi Ballini

Pubbl/distr/stampa

Firenze : Le Monnier, 1971

Descrizione fisica

815 p. ; 24 cm

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

(dgg)

2.

Record Nr.

UNINA9910416084003321

Titolo

Intelligent Systems and Methods to Combat Covid-19 [[electronic resource] /] / edited by Amit Joshi, Nilanjan Dey, K. C. Santosh

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-6572-4

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (xii, 91 pages) : illustrations

Collana

SpringerBriefs in Computational Intelligence, , 2625-3704

Disciplina

610.28563

Soggetti

Computational intelligence

Artificial intelligence

Health informatics

Control engineering

Robotics

Mechatronics

Big data

Computational Intelligence

Artificial Intelligence

Health Informatics

Control, Robotics, Mechatronics

Big Data

Lingua di pubblicazione

Inglese



Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1. Data Analytics: COVID-19 Prediction using Multimodal Data -- Chapter 2. COVID-19 Apps: Privacy and security concerns -- Chapter 3. Coronavirus Outbreak: Multi-objective Prediction and Optimization -- Chapter 4. AI-Enabled Framework to Prevent COVID-19 from Further Spreading -- Chapter 5. Artificial Intelligence Enabled Robotic Drones for COVID-19 Outbreak -- Chapter 6. Understanding and Analysis of Enhanced COVID-19 Chest X-Ray Images -- Chapter 7. Deep Learning-based COVID-19 Diagnosis and Trend Predictions -- Chapter 8. COVID-19: Loose Ends -- Chapter 9. Social Distancing and Artificial Intelligence- Understanding the Duality in the times of Covid-19 -- Chapter 10. Post Covid-19 and Business Analytics.

Sommario/riassunto

This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.