A5054823527- Cognitive Science and Mapping
- Cognitive Computing and Networks
- Digital Transformation in Industry
- IoT and Edge/Fog Computing
- Big Data and Business Intelligence
- Industrial Automation and Control Systems
- Multi-Criteria Decision Making
- Innovation and Knowledge Management
- Bayesian Modeling and Causal Inference
- Rough Sets and Fuzzy Logic
- Collaboration in agile enterprises
- AI-based Problem Solving and Planning
- Smart Grid Security and Resilience
- E-Learning and Knowledge Management
- University-Industry-Government Innovation Models
- Network Time Synchronization Technologies
University of Ioannina
2022-2024
Industrial Systems Institute
2024
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2023
Fudan University
2023
In the era of Industry 4.0 (I4.0), a significant challenge hindering digital transformation is lack mutual understanding between academia—particularly within engineering and computer science—and industrial sector, especially small to medium-sized enterprises (SMEs). This gap can result in industries missing out on potential benefits cutting-edge scientific research innovations that address their daily concerns. At same time, academics may struggle identify real-world application areas for...
Abstract Fuzzy Cognitive Maps (FCMs) are a graph-based methodology successfully applied for knowledge representation of complex systems modelled through an interactive structure nodes connected with causal relationships. Due to their flexibility and inherent interpretability, FCMs have been used in various modelling prediction tasks support human decisions. However, notable limitation is susceptibility inadvertently capturing spurious correlations from data, undermining accuracy...
In the quest for accurate and interpretable AI models, eXplainable (XAI) has become crucial. Fuzzy Cognitive Maps (FCMs) stand out as an advanced XAI method because of their ability to synergistically combine exploit both expert knowledge data-driven insights, providing transparency intrinsic interpretability. This letter introduces investigates "Total Causal Effect Calculation FCMs" (TCEC-FCM) algorithm, innovative approach that, first time, enables efficient calculation total causal...
<p>A Fuzzy Cognitive Map (FCM) is a graph-based tool for knowledge representation that intends to model any complex system through an interactive structure of nodes interacting with each other causal relationships. Owing their flexibility and inherent interpretability, FCMs have been used in various modeling prediction tasks, particularly situations where humans make final decisions, such as industrial anomaly detection. However, can unintentionally absorb spurious correlations...
Practical Learning of Artificial Intelligence on the Edge Industry 4.0 (PLANET4) is a cross-disciplinary initiative funded by European Commission under Erasmus+ program that embodies triple helix model collaboration between academia, industry, and administration. It aims to bridge gap academic teaching practical applications in context 4.0. PLANET4 focuses developing hard skills artificial intelligence, industrial Internet things, cloud edge computing, along with soft competencies required...
Internet of Things (IoT) can be widely used in various applications such as manufacturing industry,achieving high operational efficiency and increased productivity.The exploitation IoT paradigm made more feasible the use distributed control systems (DCS) where than one PLCs implement an industrial application.In case having PLC,it is obligatory to ensure their inter-communication.In this paper,a solution for PLCs' communication using Message Queuing Telemetry Transport (MQTT) IoT-protocol...
Today, one of the biggest challenges for digital transformation in Industry 4.0 paradigm is lack mutual understanding between academic and industrial world. On hand, industry fails to apply new technologies innovations from scientific research. At same time, academics struggle find focus on real-world applications their developing technological solutions. Moreover, increasing complexity widening this hiatus. To reduce knowledge communication gap, article proposes a mixed approach humanistic...
<p>Fuzzy Cognitive Maps (FCMs) is a graph-based methodology successfully applied for knowledge representation of complex systems modelled through an interactive structure nodes connected with causal relationships. Due to their flexibility and inherent interpretability, FCMs have been used in various modelling prediction tasks support human decisions. However, one the main limitations that they may unintentionally absorb spurious correlations presented collected data, resulting poor...
<p>Fuzzy Cognitive Maps (FCMs) is a graph-based methodology successfully applied for knowledge representation of complex systems modelled through an interactive structure nodes connected with causal relationships. Due to their flexibility and inherent interpretability, FCMs have been used in various modelling prediction tasks support human decisions. However, one the main limitations that they may unintentionally absorb spurious correlations presented collected data, resulting poor...