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[HTML][HTML] Innovations in genomics and big data analytics for personalized medicine and health care: a review
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …
based studies to large-scale, data-driven research. As big data is dependent on the …
Smart contract development: Challenges and opportunities
Smart contract, a term which was originally coined to refer to the automation of legal
contracts in general, has recently seen much interest due to the advent of blockchain …
contracts in general, has recently seen much interest due to the advent of blockchain …
Enabling technologies and sustainable smart cities
The technological interventions in everyday processes has led to the rise of Smart
ecosystems where all aspects of everyday life like governance, transportation, agriculture …
ecosystems where all aspects of everyday life like governance, transportation, agriculture …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
Examining the determinants of successful adoption of data analytics in human resource management–A framework for implications
Data analytics has gained importance in human resource management (HRM) for its ability
to provide insights based on data-driven decision-making processes. However, integrating …
to provide insights based on data-driven decision-making processes. However, integrating …
Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model
Big data analytics (BDA) have the power to revolutionize traditional ways of doing business.
Nevertheless, the impact of BDA capabilities on a firm's performance is still not fully …
Nevertheless, the impact of BDA capabilities on a firm's performance is still not fully …
Data-driven performance analyses of wastewater treatment plants: A review
Recent advancements in data-driven process control and performance analysis could
provide the wastewater treatment industry with an opportunity to reduce costs and improve …
provide the wastewater treatment industry with an opportunity to reduce costs and improve …
Age of information: A new concept, metric, and tool
Age of information (AoI) was introduced in the early 2010s as a notion to characterize the
freshness of the knowledge a system has about a process observed remotely. AoI was …
freshness of the knowledge a system has about a process observed remotely. AoI was …
Machine learning with big data: Challenges and approaches
The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …
process optimization, empowering insight discovery and improving decision making. The …
[HTML][HTML] Data management for production quality deep learning models: Challenges and solutions
Deep learning (DL) based software systems are difficult to develop and maintain in industrial
settings due to several challenges. Data management is one of the most prominent …
settings due to several challenges. Data management is one of the most prominent …