Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
Sustainable energies and machine learning: An organized review of recent applications and challenges
In alignment with the rapid development of artificial intelligence in the era of data
management, the application domains for machine learning have expanded to all …
management, the application domains for machine learning have expanded to all …
Trends and emerging technologies for the development of electric vehicles
T Mo, Y Li, K Lau, CK Poon, Y Wu, Y Luo - Energies, 2022 - mdpi.com
In response to severe environmental and energy crises, the world is increasingly focusing
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …
Big data analytics in healthcare
A vast volume of digitized clinical data has been generated and accumulated rapidly since
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
Big data-driven public health policy making: Potential for the healthcare industry
The use of healthcare data analytics is anticipated to play a significant role in future public
health policy formulation. Therefore, this study examines how big data analytics (BDA) may …
health policy formulation. Therefore, this study examines how big data analytics (BDA) may …
Machine learning in safety and health research: a scientometric analysis
KH Abdullah, D Sofyan - International Journal of Information Science and …, 2023 - ijism.isc.ac
Safety and health are intricately interwoven and have become indispensable to the thriving
business world and anthropology. It is concerned with ensuring employees' physical …
business world and anthropology. It is concerned with ensuring employees' physical …
[PDF][PDF] The role of big data analytics in customer relationship management: Strategies for improving customer engagement and retention
This paper explores the transformative impact of Big Data Analytics on Customer
Relationship Management (CRM), focusing on its role in enhancing customer engagement …
Relationship Management (CRM), focusing on its role in enhancing customer engagement …
A critical review on odor measurement and prediction
Odor pollution has become a global environmental issue of increasing concern in recent
years. Odor measurements are the basis of assessing and solving odor problems. Olfactory …
years. Odor measurements are the basis of assessing and solving odor problems. Olfactory …
An innovative big data framework for exploring the impact on decision-making in the European Mediterranean healthcare sector
Purpose The purpose of this paper is to propose a new conceptual framework for big data
analytics (BDA) in the healthcare sector for the European Mediterranean region. The …
analytics (BDA) in the healthcare sector for the European Mediterranean region. The …