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Models@ run. time: a guided tour of the state of the art and research challenges
More than a decade ago, the research topic models@ run. time was coined. Since then, the
research area has received increasing attention. Given the prolific results during these …
research area has received increasing attention. Given the prolific results during these …
Fuzzy logic for situation awareness: a systematic review
G D'Aniello - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Situation awareness is the cognitive capability of human and artificial agents to perceive,
understand and predict the status of the situation in an environment. Situation awareness …
understand and predict the status of the situation in an environment. Situation awareness …
A secured IoT-based intelligent transport system (IoT-ITS) framework based on cognitive science
As intelligent transport systems (ITS) is the advanced format of Vehicle Ad-hoc Network
(VANET), it provides extended support in all the traffic management processes. Afterward …
(VANET), it provides extended support in all the traffic management processes. Afterward …
The state of framework development for implementing reasoning mechanisms in smart cyber-physical systems: A literature review
Abstract Smart CPSs (S-CPSs) have been evolving beyond what was identified by the
traditional definitions of CPSs. The objective of our research is to investigate the concepts …
traditional definitions of CPSs. The objective of our research is to investigate the concepts …
Rosa: A framework for modeling self-awareness in cyber-physical systems
The role of smart and autonomous systems is becoming vital in many areas of industry and
society. Expectations from such systems continuously rise and become more ambitious: long …
society. Expectations from such systems continuously rise and become more ambitious: long …
Temporal models for history-aware explainability
On one hand, there has been a growing interest towards the application of AI-based
learning and evolutionary programming for self-adaptation under uncertainty. On the other …
learning and evolutionary programming for self-adaptation under uncertainty. On the other …
Introducing trust in service-oriented distributed systems through blockchain
Business process management is concerned with the design execution, improvement, and
monitoring of business processes. Systems that support the enactment and execution of …
monitoring of business processes. Systems that support the enactment and execution of …
Dynamic bayesian approach for decision-making in ego-things
This paper presents a novel approach to detect abnormalities in dynamic systems based on
multisensory data and feature selection. The proposed method produces multiple inference …
multisensory data and feature selection. The proposed method produces multiple inference …
History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems
The complexity of real-world problems requires modern software systems to autonomously
adapt and modify their behaviour at run time to deal with internal and external challenges …
adapt and modify their behaviour at run time to deal with internal and external challenges …
A novel optimized case-based reasoning approach with K-means clustering and genetic algorithm for predicting multi-class workload characterization in autonomic …
Data management systems are essential elements for any organization which is dealing
with large volume of data now a days. Due to increase in data volume, and its complexities …
with large volume of data now a days. Due to increase in data volume, and its complexities …