|
|
|
|
|
Fátima Trindade Neves, Manuela Aparicio and Miguel de Castro Neto
In the rapidly evolving landscape of urban development, where smart cities increasingly rely on artificial intelligence (AI) solutions to address complex challenges, using AI to accurately predict real estate prices becomes a multifaceted and crucial tas...
ver más
|
|
|
|
|
|
|
|
|
Samia Masood Awan, Muhammad Ajmal Azad, Junaid Arshad, Urooj Waheed and Tahir Sharif
The connected or smart environment is the integration of smart devices (sensors, IoT devices, or actuator) into the Internet of Things (IoT) paradigm, in which a large number of devices are connected, monitoring the physical environment and processes and...
ver más
|
|
|
|
|
|
|
|
|
Sarmad Javed, Ahthasham Sajid, Tayybah Kiren, Inam Ullah Khan, Christine Dewi, Francesco Cauteruccio and Henoch Juli Christanto
The increasing use of wireless communication and IoT devices has raised concerns about security, particularly with regard to attacks on the Routing Protocol for Low-Power and Lossy Networks (RPL), such as the wormhole attack. In this study, the authors h...
ver más
|
|
|
|
|
|
|
|
|
Simão Marques, Lucas Kob, Trevor T. Robinson and Weigang Yao
This work presents a strategy to build reduced-order models suitable for aerodynamic shape optimisation, resulting in a multifidelity optimisation framework. A reduced-order model (ROM) based on a discrete empirical interpolation (DEIM) method is employe...
ver más
|
|
|
|
|
|
|
|
|
Minseok Kong and Jungmin So
There are several automated stock trading programs using reinforcement learning, one of which is an ensemble strategy. The main idea of the ensemble strategy is to train DRL agents and make an ensemble with three different actor?critic algorithms: Advant...
ver más
|
|
|
|