[HTML][HTML] AI-based decision support systems in Industry 4.0, A review
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
[HTML][HTML] Ai-powered blockchain technology in industry 4.0, a review
Artificial Intelligence (AI) algorithms can be employed to enhance the security of the
blockchain networks in the era of industry 4.0. Smart contracts, powered by blockchain, can …
blockchain networks in the era of industry 4.0. Smart contracts, powered by blockchain, can …
Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice
The emergence of artificial intelligence (AI) has transformed global business, aiding
operational efficiency and innovation. It utilizes machine learning and big data analytics …
operational efficiency and innovation. It utilizes machine learning and big data analytics …
A multi-energy production system utilizing an absorption refrigeration cycle, and a PEM electrolyzer powered by geothermal energy: Thermoeconomic assessment …
This study aims to optimize a multi-energy production system that utilizes sustainable
geothermal energy as its primary power source. The system comprises several subsystems …
geothermal energy as its primary power source. The system comprises several subsystems …
[HTML][HTML] Blockchains for industrial Internet of Things in sustainable supply chain management of industry 4.0, a review
The integration of blockchain technology in the Industrial Internet of Things (IIoT) for
sustainable supply chain management in the context of Industry 4.0 offers several potential …
sustainable supply chain management in the context of Industry 4.0 offers several potential …
Intelligent robotic systems in Industry 4.0: A review
As Industry 4.0 continues to transform the landscape of modern manufacturing, the
integration of intelligent robotic systems has emerged as a pivotal factor in enhancing …
integration of intelligent robotic systems has emerged as a pivotal factor in enhancing …
Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application
Z Yu, Z Zhang, Q Jiang, X Yan - Knowledge-Based Systems, 2024 - Elsevier
Hybrid modeling combines physical and data-driven models to improve the performance of
industrial soft sensors. However, simplified physical assumptions and extensive parameter …
industrial soft sensors. However, simplified physical assumptions and extensive parameter …
[HTML][HTML] Improving efficiency and sustainability via supply chain optimization through CNNs and BiLSTM
Supply chain management is changing rapidly due to increasing complexity, uncertain
demand, and the requirement for sustainable methods. Advanced technologies like …
demand, and the requirement for sustainable methods. Advanced technologies like …
AI Innovations in Risk Management-A Case Study of Volvo AB's Supply Chain Resilience
E Hiljemark, D Nika - 2024 - gupea.ub.gu.se
This research aims to explore the potential of various artificial intelligence technologies in
enhancing risk management within Volvo AB's supply chain management. Application areas …
enhancing risk management within Volvo AB's supply chain management. Application areas …
Optimizing solar photovoltaic farm-based cogeneration systems with artificial intelligence (AI) and Cascade compressed air energy storage for stable power …
This study proposes a novel solar cogeneration system that integrates compressed air
energy storage units (CAES) and gas turbines (GT) with a solar farm consisting of …
energy storage units (CAES) and gas turbines (GT) with a solar farm consisting of …