Smart multi-stage energy-emission nexus framework for sustainable supply-demand management and CO2 mitigation
HT Nguyen, AH Ba-Alawi, N Somu… - … and Sustainable Energy …, 2025 - Elsevier
The increasing adoption of net-negative emission (N-NE) technologies, such as renewables,
integrated carbon capture and storage (CCS), and potential CO 2 regeneration, is crucial to …
integrated carbon capture and storage (CCS), and potential CO 2 regeneration, is crucial to …
Autonomous tracing system for backward design in food supply chain
RY Chen - Food control, 2015 - Elsevier
Food safety and quality issues generally occur due to incurring problem of food products
handling processing. It led to a growing interest in develo** systems for food supply chain …
handling processing. It led to a growing interest in develo** systems for food supply chain …
[HTML][HTML] Causal maps in the analysis and unsupervised assessment of the development of expert knowledge: Quantification of the learning effects for knowledge …
This study proposes an application of cognitive maps in the representation of cognitive
structures of the experts and assessment of their development/modification as a result of a …
structures of the experts and assessment of their development/modification as a result of a …
Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction
Fuzzy cognitive maps have been widely used as abstract models for complex networks.
Traditional ways to construct fuzzy cognitive maps rely on domain knowledge. In this paper …
Traditional ways to construct fuzzy cognitive maps rely on domain knowledge. In this paper …
[HTML][HTML] A Review Study of Fuzzy Cognitive Maps in Engineering: Applications, Insights, and Future Directions
Fuzzy Cognitive Maps (FCMs) have emerged as powerful tools for addressing diverse
engineering challenges, leveraging their cognitive nature and ability to encapsulate causal …
engineering challenges, leveraging their cognitive nature and ability to encapsulate causal …
A cooperative architecture for swarm robotic based on dynamic fuzzy cognitive maps
This work presents a cooperative architecture for navigation of a swarm of robots based on
Dynamic Fuzzy Cognitive Maps (DFCM). This architecture is used to develop homogeneous …
Dynamic Fuzzy Cognitive Maps (DFCM). This architecture is used to develop homogeneous …
Designing a fuzzy Q-learning multi-agent quality control system for a continuous chemical production line–A case study
In continuous chemical production lines, final products are produced through irreversible
and continuous reactions in successive departments. So, the quality of the final products …
and continuous reactions in successive departments. So, the quality of the final products …
Aggregating expert knowledge for the measurement of systemic risk
The policy objective of safeguarding financial stability has stimulated a wave of research on
systemic risk analytics, yet it still faces challenges in measurability. This paper models …
systemic risk analytics, yet it still faces challenges in measurability. This paper models …
Modeling maintenance projects risk effects on ERP performance
Worldwide organizations have made important efforts to replace their legacy information
applications by ERP (Enterprise Resource Planning) solutions. However, a suitable system …
applications by ERP (Enterprise Resource Planning) solutions. However, a suitable system …
Integrated level of service index for buried water infrastructure: Selection and development of performance indicators
Buried water infrastructure (BWI) services (drinking water, wastewater, and stormwater) are
vital for sustainable urban development, which can be impacted by increasing densification …
vital for sustainable urban development, which can be impacted by increasing densification …