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Edge AI: A taxonomy, systematic review and future directions
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …
and devices that receive, cache, process, and analyse data in close communication with the …
Machine learning to enhance sustainable plastics: A review
C Guarda, J Caseiro, A Pires - Journal of Cleaner Production, 2024 - Elsevier
Plastic pollution requires advances in the production, use, and recovery of plastics to
minimize environmental and human-health impacts. Machine Learning (ML) has been …
minimize environmental and human-health impacts. Machine Learning (ML) has been …
Optimizing business processes with advanced analytics: techniques for efficiency and productivity improvement
This paper examines the role of advanced analytics in optimizing business processes,
focusing on techniques, implementation strategies, benefits, and challenges. Advanced …
focusing on techniques, implementation strategies, benefits, and challenges. Advanced …
Advancing post-harvest fruit handling through AI-based thermal imaging: applications, challenges, and future trends
Recent advancements in imaging, electronics, and computer science have engendered
significant progress in non-destructive testing and quality monitoring within the agro-food …
significant progress in non-destructive testing and quality monitoring within the agro-food …
[HTML][HTML] Artificial intelligence software adoption in manufacturing companies
This study investigates the adoption of artificial intelligence (AI) software in manufacturing
companies in Slovenia, Slovakia and Croatia, and across six production areas. This …
companies in Slovenia, Slovakia and Croatia, and across six production areas. This …
[HTML][HTML] Application of medical artificial intelligence technology in sub-Saharan Africa: Prospects for medical laboratories
The widespread adoption of artificial intelligence (AI) technology globally has brought
significant changes to various sectors. AI-assisted algorithms have notably improved …
significant changes to various sectors. AI-assisted algorithms have notably improved …
[HTML][HTML] Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
The manufacturing sector has been transformed owing to additive manufacturing (AM),
which has made it possible to create intricate, personalized items with little material waste …
which has made it possible to create intricate, personalized items with little material waste …
Artificial intelligence application and high-performance work systems in the manufacturing sector: a moderated-mediating model
S Zahoor, IS Chaudhry, S Yang, X Ren - Artificial Intelligence Review, 2025 - Springer
This empirical investigation examines the complex dynamics between Artificial Intelligence
(AI), Potential Development (PD), Training Initiatives (TI), and High-Performance Work …
(AI), Potential Development (PD), Training Initiatives (TI), and High-Performance Work …
[PDF][PDF] Application of machine learning in 3D bioprinting of cultivated meat
WL Ng, JS Tan - Int. J. AI Mater. Des, 2024 - researchgate.net
Cultivated meat production, an innovative and sustainable alternative to conventional
animal farming, has gained significant attention in recent years. As the demand for ethical …
animal farming, has gained significant attention in recent years. As the demand for ethical …
[PDF][PDF] AI-driven real-time quality monitoring and process optimization for enhanced manufacturing performance
O Okuyelu, O Adaji - J. Adv. Math. Comput. Sci, 2024 - researchgate.net
The integration of artificial intelligence (AI) into manufacturing processes has revolutionized
quality control and process optimization. This paper focuses on AI-driven real-time …
quality control and process optimization. This paper focuses on AI-driven real-time …