[HTML][HTML] Precision agriculture using IoT data analytics and machine learning
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 …
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 …
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
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 …
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 …
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
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 …
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
[HTML][HTML] Cybersecurity data science: an overview from machine learning perspective
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 …
operations in recent days, and data science is driving the change. Extracting security …
Digital twin: Values, challenges and enablers from a modeling perspective
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 …
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 …
evaluates the alteration happening in the current condition of the atmosphere. Big data …
[HTML][HTML] Uncertainty in big data analytics: survey, opportunities, and challenges
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 …
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 …
role of data in modern business intelligence systems for making meaningful decisions and …