[HTML][HTML] Precision agriculture using IoT data analytics and machine learning

R Akhter, SA Sofi - Journal of King Saud University-Computer and …, 2022 - Elsevier
In spite of the insight commonality may have concerning agrarian practice, fact is that
nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than …

[HTML][HTML] Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

[HTML][HTML] The use of Big Data Analytics in healthcare

K Batko, A Ślęzak - Journal of big Data, 2022 - Springer
Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new
technologies both in treatment of patients and health management. The paper aims at …

Big data with cloud computing: Discussions and challenges

AK Sandhu - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
With the recent advancements in computer technologies, the amount of data available is
increasing day by day. However, excessive amounts of data create great challenges for …

[HTML][HTML] A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system

W Li, Y Chai, F Khan, SRU Jan, S Verma… - Mobile networks and …, 2021 - Springer
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …

[HTML][HTML] Cybersecurity data science: an overview from machine learning perspective

IH Sarker, ASM Kayes, S Badsha, H Alqahtani… - Journal of Big …, 2020 - Springer
In a computing context, cybersecurity is undergoing massive shifts in technology and its
operations in recent days, and data science is driving the change. Extracting security …

Digital twin: Values, challenges and enablers from a modeling perspective

A Rasheed, O San, T Kvamsdal - IEEE access, 2020 - ieeexplore.ieee.org
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

Big data analytics in weather forecasting: A systematic review

M Fathi, M Haghi Kashani, SM Jameii… - … Methods in Engineering, 2022 - Springer
Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

[HTML][HTML] Uncertainty in big data analytics: survey, opportunities, and challenges

RH Hariri, EM Fredericks, KM Bowers - Journal of Big data, 2019 - Springer
Big data analytics has gained wide attention from both academia and industry as the
demand for understanding trends in massive datasets increases. Recent developments in …

[HTML][HTML] An overview of data warehouse and data lake in modern enterprise data management

A Nambiar, D Mundra - Big data and cognitive computing, 2022 - mdpi.com
Data is the lifeblood of any organization. In today's world, organizations recognize the vital
role of data in modern business intelligence systems for making meaningful decisions and …