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21.6 MB
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FEBF53E34258ACC1128CDF084E2A075E2F45F77D
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April 22, 2026, 12:31 a.m.
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(Last updated: April 22, 2026, 12:31 a.m.)
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| ['Upreti K. Big Data Analytics and Intelligent Applications...2025.pdf'] | 0 bytes |
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21.6 MB
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2026-04-22
| Uploaded by andryold1 | Size 21.6 MB | Health [ 11 /29 ] | Added 2026-04-22 |
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SOURCE: Upreti K. Big Data Analytics and Intelligent Applications...2025
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COVER
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MEDIAINFO
Textbook in PDF format The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence. This book · Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability; · Highlights the pivotal role that Big Data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers; · Discusses the integration of Artificial Intelligence and Machine Learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation; · Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints; · Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems; · Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies. This volume will serve as an ideal text for senior undergraduates, graduate students, and ac Screen usage and health outcomes in female children: A machine learning analysis of overweight status and yearly illness frequency Automatic technology implications for agriculture and world socio-economic impact Harnessing deep learning for the early detection of COVID-19 using chest X-rays Integrating intelligence: The convergence of computer science and engineering in cyber–physical systems Optimisation of manufacturing processes using computational intelligence techniques Transforming intelligent systems for the healthcare industry in the Balkans Menstrual cups as sustainable menstrual hygiene products: Nonuser’s perspectives Overview of big data analytics for sustainable healthcare Smart health revolution: Unleashing the power of AI, electronic health records and the IoT for sustainable systems Exploring the impact of smart watches on health management for senior citizens: A qualitative study Telemedicine and remote patient monitoring (RPM) in smart healthcare systems: A bibliometric analysis using the SPAR-4-SLR protocol An empirical investigation on the impact of waiting time on patient satisfaction Transforming the digital landscape: The economic impact of AI in e-commerce and online services Artificial womb technology
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