[HTML][HTML] Adaptive target localization under uncertainty using Multi-Agent Deep Reinforcement Learning with knowledge transfer

A Alagha, R Mizouni, S Singh, J Bentahar, H Otrok - Internet of Things, 2025 - Elsevier
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 …

[HTML][HTML] Helicopter Turboshaft Engines' Neural Network System for Monitoring Sensor Failures

S Vladov, Ł Ścisło, N Szczepanik-Ścisło, A Sachenko… - Sensors, 2025 - mdpi.com
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 …

[PDF][PDF] Design and development of an IoT system for audiovisual self-administered tests

MC De Donato, F Corradini, F Fabbrizi, F Fornari, B Re - 2024 - bir2024.vse.cz
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 …

Design and Implementation of Smart Traffic Light System Using Renewable Energy, Fail-Safe Systems, and Intelligent Sensors

R Salama, JB Idoko - 2024 - researchsquare.com
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 …