Zobrazeno 1 - 10
of 383
pro vyhledávání: '"Deep Q networks"'
Publikováno v:
IEEE Access, Vol 12, Pp 189439-189448 (2024)
Recommendation systems have advanced significantly in recent years, achieving greater accuracy and relevance. However, traditional approaches often suffer from a mismatch between the losses used during training and the metrics used for evaluation. Mo
Externí odkaz:
https://doaj.org/article/903b5e4085e74f22bb080ec54be8cfe3
Publikováno v:
IEEE Access, Vol 12, Pp 111169-111186 (2024)
The enhanced functionality of the smart grid depends on the robust interconnection between its physical and cyber-layer components. Two distinct categories of control data packets exist within smart grids: fixed-scheduling (FS) and event-driven (ED).
Externí odkaz:
https://doaj.org/article/7a43212f4dc041c1a9f80a39848075a0
Autor:
Argenis Ronaldo Andrade-Zambrano, Juan Pablo Astudillo Leon, Manuel Eugenio Morocho-Cayamcela, Leticia Lemus Cardenas, Luis J. de la Cruz Llopis
Publikováno v:
IEEE Access, Vol 12, Pp 75072-75092 (2024)
Modern electrical systems are evolving with data communication networks, ushering in upgraded electrical infrastructures and enabling bidirectional communication between utility grids and consumers. The selection of communication technologies is cruc
Externí odkaz:
https://doaj.org/article/779020c4416343e6823192c06ae3728c
Publikováno v:
IEEE Access, Vol 12, Pp 3437-3463 (2024)
The Internet of Vehicles (IoV) represents a paradigm shift in vehicular communication, aiming to enhance traffic efficiency, safety, and the driving experience by leveraging interconnected vehicles. Despite its promise, the IoV faces challenges such
Externí odkaz:
https://doaj.org/article/89f63d2b93354ad58a0b6b7a6c2c4e5c
Autor:
Leon Tabaro, Jean Marie Vianney Kinani, Alberto Jorge Rosales-Silva, Julio César Salgado-Ramírez, Dante Mújica-Vargas, Ponciano Jorge Escamilla-Ambrosio, Eduardo Ramos-Díaz
Publikováno v:
Information, Vol 15, Iss 8, p 473 (2024)
In this work, we explore the application of deep reinforcement learning (DRL) to algorithmic trading. While algorithmic trading is focused on using computer algorithms to automate a predefined trading strategy, in this work, we train a Double Deep Q-
Externí odkaz:
https://doaj.org/article/3547b98b3acc4e129149b0d00547a585
Publikováno v:
Future Internet, Vol 16, Iss 5, p 152 (2024)
Efficient spectrum sharing is essential for maximizing data communication performance in Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that leverages Multi-Agent Reinforcement Learning (MARL), thereby combining both c
Externí odkaz:
https://doaj.org/article/c5392e05a0fc4b548e427af076c05bf1
Publikováno v:
IEEE Access, Vol 11, Pp 36630-36641 (2023)
Modeling collective behavior is a way to better understand the mechanisms that govern collective animal behaviors. Traditional rule-based modeling methods rely heavily on human prior knowledge and may not provide a proper explanation of the phenomeno
Externí odkaz:
https://doaj.org/article/402aff8758434d8dbab8444281c3c3bb
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 11, Pp 9069-9078 (2022)
This paper proposes a deep reinforcement learning-based approach to optimally manage the different energy resources within a microgrid. The proposed methodology considers the stochastic behavior of the main elements, which include load profile, gener
Externí odkaz:
https://doaj.org/article/3ef452066ed0416580c81a3b33378066
Autor:
Amr Mousa
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 43, Iss , Pp 101434- (2023)
Plug-in Hybrid Electric Vehicles offer a promising solution for the increasing CO2 emission problem. However, the improved economy strongly depends on the energy management strategy. Traditional rule-based strategies are no more practical considering
Externí odkaz:
https://doaj.org/article/e5f1adeb7c5d49d39abd292d4d34ffe3
Autor:
Farabi Ahmed Tarhan, Nazım Kemal Ure
Publikováno v:
Drones, Vol 8, Iss 3, p 71 (2024)
The popularity of commercial unmanned aerial vehicles has drawn great attention from the e-commerce industry due to their suitability for last-mile delivery. However, the organization of multiple aerial vehicles efficiently for delivery within limita
Externí odkaz:
https://doaj.org/article/0bd64ca60a9848a991917d283fb528d3