[HTML][HTML] Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability
Industry 4.0 technologies provide critical perspectives for future innovation and business
growth. Technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big data …
growth. Technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big data …
Industry 4.0 technologies for manufacturing sustainability: A systematic review and future research directions
Recent developments in manufacturing processes and automation have led to the new
industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain …
industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain …
[PDF][PDF] AI-Enhanced lifecycle assessment of renewable energy systems
KE Bassey, AR Juliet, AO Stephen - Engineering Science & …, 2024 - researchgate.net
Bassey, Juliet, & Stephen, P. No. 2082-2099 Page 2083 accuracy. Key findings demonstrate
that AI-enhanced LCA models significantly improve the precision and depth of …
that AI-enhanced LCA models significantly improve the precision and depth of …
[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances
In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
Predictive maintenance and intelligent sensors in smart factory
With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
[HTML][HTML] Machine learning and artificial intelligence in CNC machine tools, a review
Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …
evolution in computer science and data processing systems which can be used in order to …
[PDF][PDF] Machine learning for green hydrogen production
KE Bassey, C Ibegbulam - Computer Science & IT Research …, 2023 - researchgate.net
Green hydrogen, produced through the electrolysis of water using renewable energy
sources, is heralded as a cornerstone of the future sustainable energy landscape. Unlike …
sources, is heralded as a cornerstone of the future sustainable energy landscape. Unlike …
[PDF][PDF] Hybrid renewable energy systems modeling
KE Bassey - Engineering Science & Technology Journal, 2023 - researchgate.net
Bassey, P. No. 571-588 Page 572 predictive capability allows for better planning and
optimization of energy storage solutions, ensuring that surplus energy generated during …
optimization of energy storage solutions, ensuring that surplus energy generated during …
Identifying and prioritizing impediments of industry 4.0 to sustainable digital manufacturing: A mixed method approach
The impediments to Industry 4.0 adoption in sustainable production function as a roadblock
to the digital transformation of manufacturing companies. The study's goal is to look at the …
to the digital transformation of manufacturing companies. The study's goal is to look at the …
[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …
conducted a comprehensive analysis of 344 eligible journal papers published between …