Abstract
• Cloud Computing and Big Data for Cognitive Internet-of-Things
The special feature of big data for gathering, storing, processing, and analyzing complex data makes it very useful for the cognitive Internet-of-Things (IoT) to predict and mimic human intelligence with the help of a stored database. This feature also increases the sensing capability of cognitive IoT.
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• Deep Learning-Assisted Big Data Analytics for Biomedical Applications and Digital Health Care
Deep learning-assisted big data analytics can revolutionize the digital health care service. Deep learning models and algorithms can effectively analyze the health data, symptoms, diagnostic results, and other health parameters of a patient. These types of disruptive health care technologies can enable real-time data collection and remote health monitoring through sensors or mobile health applications, predict medical conditions and risks, and suggest suitable medications or fix medical appointments.
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• Big Data and the Internet-of-Things in Complex Information Systems: Selections from IoTBDS 2022 and COMPLEXIS 2022
The Internet-of-Things (IoT) is a concept that allows a network of devices (sensors, smart meters, etc.) to communicate, analyze data, and process information collaboratively in the service of individuals or organizations. The IoT network can generate large amounts of data in a variety of formats and use different protocols that can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness, and services they may offer, including efficient, effective, and secure analysis of the data IoT produces using machine learning and other advanced techniques, models, and tools, and issues of security, privacy, and trust that will emerge as IoT technologies mature and become part of our everyday lives.
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• Big Data Analytics in Industrial Intelligence
Big data analytics is a complex procedure for discovering hidden patterns, trends in industries, and also for customer preferences. The fourth industrial revolution is the blending of real world with the virtual world. This digital revolution takes the trump card of big data analytics and artificial intelligence to bring up the automated learning system. Industries apply big data to polish their marketing campaigns and use this technology in machine learning projects to edify machines and for predictive modeling.
Learn more at: https://home.liebertpub.com/cfp/big-data-analytics-in-industrial-intelligence/390/