Improving Security, Privacy, and Connectivity Among Telemedicine Platforms

Improving Security, Privacy, and Connectivity Among Telemedicine Platforms PDF

Author: Geada, Nuno

Publisher: IGI Global

Published: 2024-03-27

Total Pages: 338

ISBN-13:

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The digital transformation of the health sector consistently presents unique challenges. As technologies like artificial intelligence, big data, and telemedicine rapidly evolve, healthcare systems need to keep up with advancements and data protection. This rapid evolution, compounded by the complexities of managing patient data and ensuring cybersecurity, creates a daunting task for healthcare providers and policymakers. The COVID-19 pandemic has also highlighted the urgent need for digital solutions, amplifying the pressure on an already strained sector. Improving Security, Privacy, and Connectivity Among Telemedicine Platforms is a comprehensive guide to navigating the digital revolution in healthcare. It offers insights into identifying vital digital technologies and understanding their impact on the Health Value Chain. Through an analysis of empirical evidence, this book provides a roadmap for effectively managing change, transition, and digital value creation in healthcare. With a focus on business sustainability, change management, and cybersecurity, it equips scholars, researchers, and practitioners with the tools needed to thrive in a rapidly evolving digital landscape.

Proceedings of SIE 2023

Proceedings of SIE 2023 PDF

Author: Carmine Ciofi

Publisher: Springer Nature

Published: 2024-01-04

Total Pages: 469

ISBN-13: 3031487117

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This book showcases the state of the art in the field of electronics, as presented by researchers and engineers at the 54th Annual Meeting of the Italian Electronics Society (SIE), held in Noto (SR), Italy, on September 6–8, 2023. It covers a broad range of aspects, including: integrated circuits and systems, micro- and nano-electronic devices, microwave electronics, sensors and microsystems, optoelectronics and photonics, power electronics, electronic systems and applications.

Machine Learning Techniques and Industry Applications

Machine Learning Techniques and Industry Applications PDF

Author: Srivastava, Pramod Kumar

Publisher: IGI Global

Published: 2024-04-16

Total Pages: 327

ISBN-13:

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In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development.

Intelligent Systems for Smart Cities

Intelligent Systems for Smart Cities PDF

Author: Anand J. Kulkarni

Publisher: Springer Nature

Published: 2024-01-02

Total Pages: 522

ISBN-13: 9819969840

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This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.