[HTML][HTML] Innovations in genomics and big data analytics for personalized medicine and health care: a review

M Hassan, FM Awan, A Naz… - International journal of …, 2022 - mdpi.com
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 …

Smart contract development: Challenges and opportunities

W Zou, D Lo, PS Kochhar, XBD Le, X **a… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

Enabling technologies and sustainable smart cities

MA Ahad, S Paiva, G Tripathi, N Feroz - Sustainable cities and society, 2020 - Elsevier
The technological interventions in everyday processes has led to the rise of Smart
ecosystems where all aspects of everyday life like governance, transportation, agriculture …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer communications, 2021 - Elsevier
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 …

Examining the determinants of successful adoption of data analytics in human resource management–A framework for implications

SV Shet, T Poddar, FW Samuel, YK Dwivedi - Journal of Business …, 2021 - Elsevier
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 …

Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model

R Rialti, L Zollo, A Ferraris, I Alon - Technological Forecasting and Social …, 2019 - Elsevier
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 …

Data-driven performance analyses of wastewater treatment plants: A review

KB Newhart, RW Holloway, AS Hering, TY Cath - Water research, 2019 - Elsevier
Recent advancements in data-driven process control and performance analysis could
provide the wastewater treatment industry with an opportunity to reduce costs and improve …

Age of information: A new concept, metric, and tool

A Kosta, N Pappas, V Angelakis - Foundations and Trends® …, 2017 - nowpublishers.com
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 …

Machine learning with big data: Challenges and approaches

A L'heureux, K Grolinger, HF Elyamany… - Ieee …, 2017 - ieeexplore.ieee.org
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 …

[HTML][HTML] Data management for production quality deep learning models: Challenges and solutions

AR Munappy, J Bosch, HH Olsson, A Arpteg… - Journal of Systems and …, 2022 - Elsevier
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 …