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Big data applications: Overview, challenges and future
Big Data (ie, social big data, vehicular big data, healthcare big data etc) points to massive
and complex data, that require special technologies and approaches for storage …
and complex data, that require special technologies and approaches for storage …
[HTML][HTML] A review of big data trends and challenges in healthcare
The healthcare sector produces an enormous amount of complicated data from several
sources, such as health monitoring systems, medical devices, and electronic health records …
sources, such as health monitoring systems, medical devices, and electronic health records …
Sustainable digital marketing under big data: an AI random forest model approach
Digital marketing refers to the process of promoting, selling, and delivering products or
services through online platforms and channels using the internet and electronic devices in …
services through online platforms and channels using the internet and electronic devices in …
Uncovering hidden and complex relations of pandemic dynamics using an AI driven system
The COVID-19 pandemic continues to challenge healthcare systems globally, necessitating
advanced tools for clinical decision support. Amidst the complexity of COVID-19 …
advanced tools for clinical decision support. Amidst the complexity of COVID-19 …
[HTML][HTML] HealthDote: A blockchain-based model for continuous health monitoring using interplanetary file system
The Healthcare industry demands increased privacy and security to protect confidential
patient information and comply with regulations. Both these features can be incorporated …
patient information and comply with regulations. Both these features can be incorporated …
[HTML][HTML] GDPR compliance verification through a user-centric blockchain approach in multi-cloud environment
With cloud-hosted web applications becoming ubiquitous, the security risks presented for
user personal data that is migrated to the cloud are at an all-time high. When using a cloud …
user personal data that is migrated to the cloud are at an all-time high. When using a cloud …
Health monitoring and diagnosis for geo-distributed edge ecosystem in smart city
With the increasing number of Internet of Things (IoT) devices being deployed and used in
daily life, the load on computational devices has grown exponentially. This situation is more …
daily life, the load on computational devices has grown exponentially. This situation is more …
[HTML][HTML] SecureFlow: Knowledge and data-driven ensemble for intrusion detection and dynamic rule configuration in software-defined IoT environment
There is a massive growth in the rate of heterogeneous devices configured in the Internet of
Things (IoT) environment for efficient communication. The IoT devices are limited in …
Things (IoT) environment for efficient communication. The IoT devices are limited in …
Optimized blockchain-based healthcare framework empowered by mixed multi-agent reinforcement learning
The world has recently witnessed the devastating impact of a global pandemic, where
countless lives were tragically lost due to delayed abnormal disease detection and the lack …
countless lives were tragically lost due to delayed abnormal disease detection and the lack …
[HTML][HTML] Healthcare Big Data Analysis with Artificial Neural Network for Cardiac Disease Prediction
The generation of a huge volume of structured, semi-structured and unstructured real-time
health monitoring data and its storage in the form of electronic health records (EHRs) need …
health monitoring data and its storage in the form of electronic health records (EHRs) need …