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 …

Industry 5.0: A survey on enabling technologies and potential applications

PKR Maddikunta, QV Pham, B Prabadevi… - Journal of industrial …, 2022 - Elsevier
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 …

Stroke risk prediction with machine learning techniques

E Dritsas, M Trigka - Sensors, 2022 - mdpi.com
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 …

Machine learning technology in biodiesel research: A review

M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

Edge computing for industry 5.0: Fundamental, applications and research challenges

M Sharma, A Tomar, A Hazra - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Industry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity
and intelligent technologies to provide manufacturing solutions. Integrating modern …

[HTML][HTML] Multi-class sentiment classification on Bengali social media comments using machine learning

R Haque, N Islam, M Tasneem, AK Das - International journal of cognitive …, 2023 - Elsevier
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 …

Blockchain for edge of things: Applications, opportunities, and challenges

TR Gadekallu, QV Pham, DC Nguyen… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
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 …

[Retracted] Lung Cancer Classification and Prediction Using Machine Learning and Image Processing

S Nageswaran, G Arunkumar, AK Bisht… - BioMed Research …, 2022 - Wiley Online Library
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 …

A performance comparison of machine learning algorithms for load forecasting in smart grid

T Alquthami, M Zulfiqar, M Kamran, AH Milyani… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Fischer linear discrimination and quadratic discrimination analysis–based data mining technique for internet of things framework for Healthcare

MK Hasan, TM Ghazal, A Alkhalifah… - Frontiers in Public …, 2021 - frontiersin.org
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 …