Digital twin in the IoT context: A survey on technical features, scenarios, and architectural models
Digital twin (DT) is an emerging concept that is gaining attention in various industries. It
refers to the ability to clone a physical object (PO) into a software counterpart. The …
refers to the ability to clone a physical object (PO) into a software counterpart. The …
A survey on troll detection
A troll is usually defined as somebody who provokes and offends people to make them
angry, who wants to dominate any discussion or who tries to manipulate people's opinions …
angry, who wants to dominate any discussion or who tries to manipulate people's opinions …
Fine-grained agent-based modeling to predict COVID-19 spreading and effect of policies in large-scale scenarios
Modeling and forecasting the spread of COVID-19 remains an open problem for several
reasons. One of these concerns the difficulty to model a complex system at a high resolution …
reasons. One of these concerns the difficulty to model a complex system at a high resolution …
High-performance computing and abms for high-resolution covid-19 spreading simulation
This paper presents an approach for the modeling and the simulation of the spreading of
COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to …
COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to …
CSMAS: Improving multi-agent credit scoring system by integrating big data and the new generation of gradient boosting algorithms
Y Tounsi, H Anoun, L Hassouni - … of the 3rd international conference on …, 2020 - dl.acm.org
Credit risk is one of the main risks facing banks and credit institutions, with the current
progress in machine learning, artificial intelligence and big data. Recent research has …
progress in machine learning, artificial intelligence and big data. Recent research has …
High‐performance extended actors
PA Buhr, CA Parsons, T Delisle… - Software: Practice and …, 2023 - Wiley Online Library
Actors are a popular mechanism for indirectly expressing concurrency. This article examines
an implementation in the concurrent dialect of C++, μ μ C++, which runs actors on shared …
an implementation in the concurrent dialect of C++, μ μ C++, which runs actors on shared …
[PDF][PDF] ActoDemic: A Distributed Framework for Fine-Grained Spreading Modeling and Simulation in Large Scale Scenarios.
Agent-based modeling and simulation techniques are widely and successfully used for
analyzing complex and emergent phenomena in many research and application areas …
analyzing complex and emergent phenomena in many research and application areas …
[PDF][PDF] Unsupervised continual learning from synthetic data generated with agent-based modeling and simulation: a preliminary experimentation.
Continual Learning enables to learn a variable number of tasks sequentially without
forgetting knowledge obtained from the past. Catastrophic forgetting usually occurs in neural …
forgetting knowledge obtained from the past. Catastrophic forgetting usually occurs in neural …
HAMLET: a hierarchical agent-based machine learning platform
Hierarchical Multi-agent Systems provide convenient and relevant ways to analyze, model,
and simulate complex systems composed of a large number of entities that interact at …
and simulate complex systems composed of a large number of entities that interact at …
[PDF][PDF] A Scalable and Distributed Actor-Based Version of the Node2Vec Algorithm.
G Lombardo, A Poggi - WOA, 2019 - ceur-ws.org
The analysis of systems that can be modeled as networks of interacting entities is becoming
often more important in different research fields. The application of machine learning …
often more important in different research fields. The application of machine learning …