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 …
Technological revolutions in smart farming: Current trends, challenges & future directions
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0
Industry 4.0 focuses on the realization of smart manufacturing based on cyber-physical
systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and …
systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and …
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 …
Green IoT for eco-friendly and sustainable smart cities: future directions and opportunities
The development of the Internet of Things (IoT) technology and their integration in smart
cities have changed the way we work and live, and enriched our society. However, IoT …
cities have changed the way we work and live, and enriched our society. However, IoT …
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 …
[HTML][HTML] Towards a circular economy: An emerging economies context
Circular Economy (CE) and the adoption of its principles globally are more important than
ever to sustain the rate of production of goods and services to meet the ever-increasing …
ever to sustain the rate of production of goods and services to meet the ever-increasing …
Internet of things technologies, digital servitization and business model innovation in BtoB manufacturing firms
Technologies like the Internet of Things (IoT) are offering new opportunities and posing
serious challenges to firms, forcing them to create entirely new business models, migrating …
serious challenges to firms, forcing them to create entirely new business models, migrating …
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
Agriculture plays an important role in sustaining all human activities. Major challenges such
as overpopulation, competition for resources poses a threat to the food security of the planet …
as overpopulation, competition for resources poses a threat to the food security of the planet …
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions
Y Riahi, T Saikouk, A Gunasekaran… - Expert Systems with …, 2021 - Elsevier
Today's supply chains are very different from those of just a few years ago, and they
continue to evolve within an extremely competitive economy. Dynamic supply chain …
continue to evolve within an extremely competitive economy. Dynamic supply chain …