Search Results for author:
Found 5 papers, 0 papers with code
A Reference Model for IoT Embodied Agents Controlled by Neural Networks
In this paper, we propose a reference model based on statecharts that offers abstractions tailored to the development of IoT applications.
Testing Self-Organizing Multiagent Systems
Multiagent Systems (MASs) involve different characteristics, such as autonomy, asynchronous and social features, which make these systems more difficult to understand.
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning
Agent-based Internet of Things (IoT) applications have recently emerged as applications that can involve sensors, wireless devices, machines and software that can exchange data and be accessed remotely.
Machine Learning-based Variability Handling in IoT Agents
Agent-based IoT applications have recently been proposed in several domains, such as health care, smart cities and agriculture.
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks
Third, we compared how software engineers fare against machine-learning algorithms when accomplishing the performance and reuse tasks based on criteria such as energy consumption and safety.
