[HTML][HTML] Software-defined network-based proactive routing strategy in smart power grids using graph neural network and reinforcement learning
Smart power grid relies on sensors and actuators to provide continuous monitoring and
precise control functions. Two types of data and command packets are associated with such …
precise control functions. Two types of data and command packets are associated with such …
Resilient Proactive Routing in Smart Power Grids
MA Islam - 2023 - search.proquest.com
The smart grid represents a significant advance over the traditional power grid. It depends
on the pervasive deployment of field devices (sensors and actuators) that enable continuous …
on the pervasive deployment of field devices (sensors and actuators) that enable continuous …
[PDF][PDF] Machine Learning Technique for Predicting Location
M Arora, S Agrawal, R Patel - ijeer.forexjournal.co.in
░ ABSTRACT-In the current era of internet and mobile phone usage, the prediction of a
person's location at a specific moment has become a subject of great interest among …
person's location at a specific moment has become a subject of great interest among …
Implementasi Algoritme Bellman-Ford dengan Logika Fuzzy untuk Pencarian Jalur pada Software Defined Network (SDN)
S Paramita, PH Trisnawan, FA Bakhtiar - … Teknologi Informasi dan …, 2022 - j-ptiik.ub.ac.id
Abstrak Software Defined Network (SDN) adalah arsitektur jaringan yang didesain
sedemikian rupa agar lebih fleksibel dan lebih mudah diatur. Pada SDN dapat …
sedemikian rupa agar lebih fleksibel dan lebih mudah diatur. Pada SDN dapat …
[PDF][PDF] SIMULATION AND COMPARISON OF VARIOUS SHORTEST PATH ALGORITHMS WITH MOBILE ANDROID APPLICATION
U Hacizade, G Bal - iotpe.com
In this study, the properties and differences of some commonly used shortest pathfinding
algorithms were examined. Thus, the performances of these algorithms were compared in …
algorithms were examined. Thus, the performances of these algorithms were compared in …