[HTML][HTML] Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0 …

K Nikiforidis, A Kyrtsoglou, T Vafeiadis, T Kotsiopoulos… - ICT Express, 2024 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) is crucial for the transition from the fourth to
fifth industrial revolution, providing transparency and fostering user confidence in Artificial …

AI and the future of contract management in the oil and gas sector

OR Aziza, NS Uzougbo, MC Ugwu - World Journal of Advanced …, 2023 - wjarr.co.in
The integration of Artificial Intelligence (AI) into contract management within the oil and gas
sector represents a transformative shift, promising significant enhancements in efficiency …

[HTML][HTML] Cognitive analytics platform with AI solutions for anomaly detection

V Rousopoulou, T Vafeiadis, A Nizamis, I Iakovidis… - Computers in …, 2022 - Elsevier
This work presents a cognitive analytics platform for anomaly detection which is capable to
handle, analyze and exploit resourcefully machine data from a shop-floor of factory, so as to …

[HTML][HTML] AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0

E Alberti, S Alvarez-Napagao, V Anaya, M Barroso… - Systems, 2024 - mdpi.com
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0
is a new phase of industrialization that places the worker at the center of the production …

Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms

T Kotsiopoulos, G Papakostas, T Vafeiadis… - Expert Systems with …, 2024 - Elsevier
Defect detection is one of the main areas that Industry 4.0 concepts like automation, IoT,
digitization and AI aimed to provide solutions. In this work, a platform that extends the …

Project Method Efficiency for the Teachers' Professional Activities.

O Kobernyk, N Kolomiiets, O Komar, L Roienko… - Journal of Curriculum …, 2022 - ERIC
The relevance of the study is based on the discrepancy between the need for the project
management program-methodical support and insufficient development in pedagogical …

[HTML][HTML] Anomaly Detection in Industrial Processes: Supervised vs. Unsupervised Learning and the Role of Explainability

A Bardos, P Doupidis… - Open …, 2025 - open-research-europe.ec.europa.eu
Background Anomaly detection is vital in industrial settings for identifying abnormal
behaviors that suggest faults or malfunctions. Artificial intelligence (AI) offers significant …

Advancing Networked Production Through Decentralised Technical Intelligence

S Walter, M Mikkola - … in Manufacturing: Enabling Intelligent, Flexible and …, 2023 - Springer
In today's competitive landscape, networked production plays a crucial role in enabling
companies to create value and remain competitive. By integrating advanced logistics and …

Production scheduling optimization enabled by digital cognitive platform

K Georgiadis, A Nizamis, T Vafeiadis… - Procedia Computer …, 2022 - Elsevier
Automation and optimization are two key concepts for smart factories in industry 4.0. The
production planning and scheduling optimization models are widely used to support the …

[PDF][PDF] Towards Industry 5.0–A Trustworthy AI Framework for Digital Manufacturing with Humans in Control

U Wajid, A Nizamis, V Anaya - Proceedings http://ceur-ws. org. ISSN, 2022 - ceur-ws.org
Despite the fact that Industry 4.0 concepts and technologies are still being developed and
still being adopted, the lessons learned from the last decade have helped shape up the …