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Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas
A Adel - Journal of Cloud Computing, 2022 - Springer
Industry 4.0 has been provided for the last 10 years to benefit the industry and the
shortcomings; finally, the time for industry 5.0 has arrived. Smart factories are increasing the …
shortcomings; finally, the time for industry 5.0 has arrived. Smart factories are increasing the …
Industry 5.0: A survey on enabling technologies and potential applications
Industry 5.0 is regarded as the next industrial evolution, its objective is to leverage the
creativity of human experts in collaboration with efficient, intelligent and accurate machines …
creativity of human experts in collaboration with efficient, intelligent and accurate machines …
Stroke risk prediction with machine learning techniques
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
Machine learning technology in biodiesel research: A review
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
Edge computing for industry 5.0: Fundamental, applications and research challenges
Industry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity
and intelligent technologies to provide manufacturing solutions. Integrating modern …
and intelligent technologies to provide manufacturing solutions. Integrating modern …
[HTML][HTML] Multi-class sentiment classification on Bengali social media comments using machine learning
Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
Blockchain for edge of things: Applications, opportunities, and challenges
In recent years, blockchain networks have attracted significant attention in many research
areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled by …
areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled by …
[Retracted] Lung Cancer Classification and Prediction Using Machine Learning and Image Processing
Lung cancer is a potentially lethal illness. Cancer detection continues to be a challenge for
medical professionals. The true cause of cancer and its complete treatment have still not …
medical professionals. The true cause of cancer and its complete treatment have still not …
A performance comparison of machine learning algorithms for load forecasting in smart grid
With the rapid increase in the world's population, the global electricity demand has
increased drastically. Therefore, it is required to adopt efficient energy management …
increased drastically. Therefore, it is required to adopt efficient energy management …
Fischer linear discrimination and quadratic discrimination analysis–based data mining technique for internet of things framework for Healthcare
The internet of reality or augmented reality has been considered a breakthrough and an
outstanding critical mutation with an emphasis on data mining leading to dismantling of …
outstanding critical mutation with an emphasis on data mining leading to dismantling of …