Ke Aiduo

Multimedia

• Author(s): Ioannis Karydis

• Categories: Computers

• Type: Book
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• Published: 2012-03-07
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• Publisher: BoD – Books on Demand

The nowadays ubiquitous and effortless digital data capture and processing capabilities offered by the majority of devices, lead to an unprecedented penetration of multimedia content in our everyday life. To make the most of this phenomenon, the rapidly increasing volume and usage of digitised content requires constant re-evaluation and adaptation of multimedia methodologies, in order to meet the relentless change of requirements from both the user and system perspectives. Advances in Multimedia provides readers with an overview of the ever-growing field of multimedia by bringing together various research studies and surveys from different subfields that point out such important aspects. Some of the main topics that this book deals with include: multimedia management in peer-to-peer structures

National Library of Medicine Audiovisuals Catalog

• Author(s): National Library of Medicine (U.S.)

• Categories: Health education

• Type: Book
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• Published: Unknown
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• Publisher: Unknown

None

Misc

• Categories: Education

• Type: Book
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• Published: 1952
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• Publisher: Unknown

None

Archives of Acoustics Quarterly

• Categories: Sound

• Type: Book
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• Published: 2008
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• Publisher: Unknown

None

Data Analytics for Pandemics

• Author(s): Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, Nilanjan Dey

• Categories: Computers

• Type: Book
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• Published: 2020-08-30
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• Publisher: CRC Press

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.