[HTML][HTML] Adaptive target localization under uncertainty using Multi-Agent Deep Reinforcement Learning with knowledge transfer
Target localization is a critical task in sensitive applications, where multiple sensing agents
communicate and collaborate to identify the target location based on sensor readings …
communicate and collaborate to identify the target location based on sensor readings …
[HTML][HTML] Helicopter Turboshaft Engines' Neural Network System for Monitoring Sensor Failures
An effective neural network system for monitoring sensors in helicopter turboshaft engines
has been developed based on a hybrid architecture combining LSTM and GRU. This system …
has been developed based on a hybrid architecture combining LSTM and GRU. This system …
[PDF][PDF] Design and development of an IoT system for audiovisual self-administered tests
Technological advancements, such as those brought by the IoT should be adopted as
supporting tools in the definition of a new society that places humans at its center, and that …
supporting tools in the definition of a new society that places humans at its center, and that …
Design and Implementation of Smart Traffic Light System Using Renewable Energy, Fail-Safe Systems, and Intelligent Sensors
To overcome the disadvantages of traditional traffic lights, this study provides a detailed
examination of the development and implementation of a smart traffic light system. The …
examination of the development and implementation of a smart traffic light system. The …